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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ijms</journal-id>
<journal-title>International Journal of Molecular Sciences</journal-title>
<abbrev-journal-title>Int. J. Mol. Sci.</abbrev-journal-title>
<issn pub-type="epub">1422-0067</issn>
<publisher>
<publisher-name>Molecular Diversity Preservation International (MDPI)</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">ijms-10-00062</article-id>
<article-categories>
<subj-group>
<subject>Review</subject></subj-group></article-categories>
<title-group>
<article-title>An Overview of Conventional and Emerging Analytical Methods for the Determination of Mycotoxins</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Cigić</surname><given-names>Irena Kralj</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Prosen</surname><given-names>Helena</given-names></name><xref ref-type="corresp" rid="C1">*</xref></contrib>
<aff id="af1-ijms-10-00062">University of Ljubljana, Faculty of Chemistry and Chemical Technology, Aškerčeva 5, SI-1000 Ljubljana, Slovenia. E-Mail:
<email>irena.kralj-cigic@fkkt.uni-lj.si</email></aff></contrib-group>
<author-notes>
<corresp id="C1">* Author to whom correspondence should be addressed; E-mail:
<email>helena.prosen@fkkt.uni-lj.si</email>; Tel. +386-1-24-19-176; Fax: +386-1-24-19-220</corresp></author-notes>
<pub-date pub-type="collection">
<month>1</month>
<year>2009</year></pub-date>
<pub-date pub-type="epub">
<day>2</day>
<month>1</month>
<year>2009</year></pub-date>
<volume>10</volume>
<issue>1</issue>
<fpage>62</fpage>
<lpage>115</lpage>
<history>
<date date-type="received">
<day>29</day>
<month>10</month>
<year>2008</year></date>
<date date-type="rev-recd">
<day>24</day>
<month>11</month>
<year>2008</year></date>
<date date-type="accepted">
<day>1</day>
<month>1</month>
<year>2009</year></date></history>
<permissions>
<copyright-statement>© 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (<ext-link xlink:href="http://creativecommons.org/licenses/by/3.0/" ext-link-type="uri">http://creativecommons.org/licenses/by/3.0/</ext-link>).</copyright-statement>
<copyright-year>2009</copyright-year>
<license license-type="open-access">
<p>This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (<ext-link xlink:href="http://creativecommons.org/licenses/by/3.0/" ext-link-type="uri">http://creativecommons.org/licenses/by/3.0/</ext-link>).</p></license></permissions>
<abstract>
<p>Mycotoxins are a group of compounds produced by various fungi and excreted into the matrices on which they grow, often food intended for human consumption or animal feed. The high toxicity and carcinogenicity of these compounds and their ability to cause various pathological conditions has led to widespread screening of foods and feeds potentially polluted with them. Maximum permissible levels in different matrices have also been established for some toxins. As these are quite low, analytical methods for determination of mycotoxins have to be both sensitive and specific. In addition, an appropriate sample preparation and pre-concentration method is needed to isolate analytes from rather complicated samples. In this article, an overview of methods for analysis and sample preparation published in the last ten years is given for the most often encountered mycotoxins in different samples, mainly in food. Special emphasis is on liquid chromatography with fluorescence and mass spectrometric detection, while in the field of sample preparation various solid-phase extraction approaches are discussed. However, an overview of other analytical and sample preparation methods less often used is also given. Finally, different matrices where mycotoxins have to be determined are discussed with the emphasis on their specific characteristics important for the analysis (human food and beverages, animal feed, biological samples, environmental samples). Various issues important for accurate qualitative and quantitative analyses are critically discussed: sampling and choice of representative sample, sample preparation and possible bias associated with it, specificity of the analytical method and critical evaluation of results.</p></abstract>
<kwd-group>
<kwd>Mycotoxins</kwd>
<kwd>analysis</kwd>
<kwd>sample preparation</kwd>
<kwd>screening</kwd>
<kwd>food</kwd>
<kwd>animal feed</kwd>
<kwd>method validation</kwd>
<kwd>reference materials</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>1. Introduction</title>
<p>Awareness of mycotoxins has grown mainly in the last fifty years since the discovery of aflatoxins in the 1960s, although they have accompanied mankind from the very beginnings and were probably associated with several mysterious diseases known from history [<xref ref-type="bibr" rid="b1-ijms-10-00062">1</xref>]. Mycotoxins are now recognized as prevalently toxic compounds produced as secondary metabolites by various fungi and excreted into their substrates. These substrates frequently include plants grown and stored for human or animal consumption as well as processed food. Mycotoxins and the associated health disorders in humans and animals have been recognized as a major health and economical problem [<xref ref-type="bibr" rid="b1-ijms-10-00062">1</xref>, <xref ref-type="bibr" rid="b2-ijms-10-00062">2</xref>], which dictates measures to minimize the exposure by applying proper agricultural practice, storage of products and control of the products intended for human or animal consumption [<xref ref-type="bibr" rid="b3-ijms-10-00062">3</xref>–<xref ref-type="bibr" rid="b10-ijms-10-00062">10</xref>]. Moreover, there is also a growing awareness of the mycotoxin presence in the living and working environment and associated disease [<xref ref-type="bibr" rid="b11-ijms-10-00062">11</xref>–<xref ref-type="bibr" rid="b14-ijms-10-00062">14</xref>]. The control measures to ensure mycotoxin-free food, feed and environment imply chemical analysis of these contaminants in a great variety of samples, further complicated by the structural diversity of mycotoxins which call for different analytical methods.</p>
<p>The aim of the present review is to present the state-of-the-art of the conventional and emerging analytical and sample preparation methods for the most important mycotoxins in various matrices where they may be encountered. Besides, screening methods are also covered. Special emphasis is on the pitfalls of the mycotoxin analysis and the errors that may be inherent or introduced in each step of the analytical method. As this is a very broad scope, the review covers only the methods and techniques published in the last decade.</p>
<sec sec-type="discussion">
<title>1.1. Diversity and impact of mycotoxins</title>
<p>Various commonly found types of molds produce and excrete mycotoxins. Between 300 and 400 different mycotoxins are known today, but not all of them are present in higher concentrations or have a significant health or economical impact and therefore have to be determined in various matrices [<xref ref-type="bibr" rid="b15-ijms-10-00062">15</xref>, <xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>].</p>
<p><xref ref-type="table" rid="t1-ijms-10-00062">Table 1</xref> lists the major groups of mycotoxins or individual compounds that are the most interesting from the analytical point of view as stated above. The abbrevations in the <xref ref-type="table" rid="t1-ijms-10-00062">Table 1</xref> are used throughout the text. Moreover, fungal species that produce them and the most common health disorders they cause are also listed. The chemical structures of these compounds are shown in <xref ref-type="fig" rid="f1-ijms-10-00062">Figures 1</xref>–<xref ref-type="fig" rid="f6-ijms-10-00062">6</xref>. There are other toxicologically important mycotoxins not included in <xref ref-type="table" rid="t1-ijms-10-00062">Table 1</xref> as they are less frequently encountered, e.g. penitrems, thomitrems, lolitrem, verruculogen, griseofulvin, chaetoglobosin, sambutoxin, citreoviridin, apicidin, roridin, monacolin K, phomopsins, sporidesmins, AAL toxins, satratoxins etc. [<xref ref-type="bibr" rid="b1-ijms-10-00062">1</xref>, <xref ref-type="bibr" rid="b2-ijms-10-00062">2</xref>, <xref ref-type="bibr" rid="b12-ijms-10-00062">12</xref>, <xref ref-type="bibr" rid="b17-ijms-10-00062">17</xref>].</p>
<p>The health disorders listed in <xref ref-type="table" rid="t1-ijms-10-00062">Table 1</xref> are those most frequently associated with the exposure, but especially the data on acute toxicity of some mycotoxins show considerable variation in the available studies [<xref ref-type="bibr" rid="b1-ijms-10-00062">1</xref>, <xref ref-type="bibr" rid="b2-ijms-10-00062">2</xref>, <xref ref-type="bibr" rid="b7-ijms-10-00062">7</xref>, <xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>, <xref ref-type="bibr" rid="b18-ijms-10-00062">18</xref>]. The susceptibility of animals (and humans) varies with species, age, nutrition, length of exposure and other factors as well [<xref ref-type="bibr" rid="b1-ijms-10-00062">1</xref>, <xref ref-type="bibr" rid="b2-ijms-10-00062">2</xref>]. Evaluation of adverse health effects is complicated by co-existence of various mycotoxins in food and feed and their possible synergistic action [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>, <xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>]. Many mycotoxins exhibit a rather non-specific action at the usual exposure levels, e.g. immunosuppression [<xref ref-type="bibr" rid="b2-ijms-10-00062">2</xref>] and consequently can increase susceptibility to other illnesses [<xref ref-type="bibr" rid="b7-ijms-10-00062">7</xref>]. Although it has been postulated that several unexplained disease outbreaks from the past were caused by the consumption of mycotoxin-contaminated food [<xref ref-type="bibr" rid="b1-ijms-10-00062">1</xref>, <xref ref-type="bibr" rid="b2-ijms-10-00062">2</xref>, <xref ref-type="bibr" rid="b7-ijms-10-00062">7</xref>, <xref ref-type="bibr" rid="b20-ijms-10-00062">20</xref>], e.g. Balkan endemic nephropathy [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>, <xref ref-type="bibr" rid="b21-ijms-10-00062">21</xref>], other environmental factors such as drinking water contamination may also play a role in their occurrence [<xref ref-type="bibr" rid="b22-ijms-10-00062">22</xref>]. At present, there is no firm evidence that the normal daily exposure to some mycotoxins listed in <xref ref-type="table" rid="t1-ijms-10-00062">Table 1</xref> (RQ, MPA) would lead to health disorders [<xref ref-type="bibr" rid="b23-ijms-10-00062">23</xref>, <xref ref-type="bibr" rid="b24-ijms-10-00062">24</xref>] or these occur only at higher intake levels (e.g. for PAT) [<xref ref-type="bibr" rid="b25-ijms-10-00062">25</xref>], but nevertheless the maximum tolerable daily intake and residual levels in foods have been established [<xref ref-type="bibr" rid="b1-ijms-10-00062">1</xref>, <xref ref-type="bibr" rid="b25-ijms-10-00062">25</xref>].</p></sec>
<sec>
<title>1.2. Diversity of samples containing mycotoxins</title>
<p>Molds and their metabolites are present everywhere in the environment, which implies a wide variety of samples that might contain mycotoxins and have to be analyzed. <xref ref-type="table" rid="t2-ijms-10-00062">Table 2</xref> lists the samples an analytical chemist will most frequently encounter. The detailed analytical approaches performed for these samples, however, are discussed in Section 5 of this review.</p>
<p>Because of the deleterious health effects of mycotoxins, their levels have been strictly regulated especially in food and feed samples. While European Union has in general set somewhat lower allowable residue levels than US Food and Drug Administration, they are usually in the μg/kg–mg/kg range for the majority of compounds [<xref ref-type="bibr" rid="b1-ijms-10-00062">1</xref>, <xref ref-type="bibr" rid="b4-ijms-10-00062">4</xref>]. Various types of grains are the most burdened in terms of different possible compounds, mostly occurring pre-harvest and some also post-harvest during storage, although the latter is easier to control [<xref ref-type="bibr" rid="b1-ijms-10-00062">1</xref>, <xref ref-type="bibr" rid="b2-ijms-10-00062">2</xref>, <xref ref-type="bibr" rid="b4-ijms-10-00062">4</xref>, <xref ref-type="bibr" rid="b20-ijms-10-00062">20</xref>, <xref ref-type="bibr" rid="b26-ijms-10-00062">26</xref>]. The first evaluation of food and feed is by inspection for the visible fungal contamination as well as for the characteristic moldy odor, although these factors don’t necessarily correlate with the mycotoxin concentration and are also not applicable to processed foods.</p>
<p>In samples of animal origin, such as meat, milk, dairy products and eggs, mostly aflatoxin metabolite M1 is expected and also OTA in some tissues (liver, kidney). Other mycotoxins haven’t been shown to exhibit carry-over from feed to animal products [<xref ref-type="bibr" rid="b1-ijms-10-00062">1</xref>, <xref ref-type="bibr" rid="b3-ijms-10-00062">3</xref>]. Cheese deliberately inoculated with presumably non-toxicogenic molds may in addition contain MPA, RQ [<xref ref-type="bibr" rid="b23-ijms-10-00062">23</xref>, <xref ref-type="bibr" rid="b24-ijms-10-00062">24</xref>] and to a certain extent also CIT and CPA are expected [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>, <xref ref-type="bibr" rid="b27-ijms-10-00062">27</xref>]. Fish may contain RALs [<xref ref-type="bibr" rid="b28-ijms-10-00062">28</xref>]. Special care has to be taken while evaluating mycotoxin content in processed foods, as during processing, especially heating, the content of mycotoxins is generally reduced, but degradation products of both higher or lower toxicity may form [<xref ref-type="bibr" rid="b9-ijms-10-00062">9</xref>, <xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>].</p>
<p>Another group of samples in <xref ref-type="table" rid="t2-ijms-10-00062">Table 2</xref> are from the indoor environment. They have been gaining in importance since the recognition of the “sick building syndrome”, a chronic illness associated with fatigue, allergic reactions, neurological symptoms and higher incidence of cancer. Affected people live in mold-infected buildings with fungal spores containing mycotoxins present in the air and house dust [<xref ref-type="bibr" rid="b11-ijms-10-00062">11</xref>, <xref ref-type="bibr" rid="b12-ijms-10-00062">12</xref>], but can be exposed also in the working environment [<xref ref-type="bibr" rid="b13-ijms-10-00062">13</xref>, <xref ref-type="bibr" rid="b14-ijms-10-00062">14</xref>]. Analysis of human samples (blood, urine, milk) is therefore also important to evaluate the extent of exposure from environment and food [<xref ref-type="bibr" rid="b29-ijms-10-00062">29</xref>, <xref ref-type="bibr" rid="b30-ijms-10-00062">30</xref>].</p>
<p>Finally, environmental samples such as soil and environmental waters may provide information on the fate of mycotoxins formed in fungally infected agricultural crops [<xref ref-type="bibr" rid="b31-ijms-10-00062">31</xref>, <xref ref-type="bibr" rid="b32-ijms-10-00062">32</xref>] or of anthropogenic origin [<xref ref-type="bibr" rid="b33-ijms-10-00062">33</xref>].</p></sec></sec>
<sec sec-type="methods">
<title>2. Screening methods</title>
<p>Different types of samples and their vast number, as well as chemical diversity of mycotoxins and their simultaneous occurrence in samples present a need for rapid multi-analyte methods suited for various matrices. Moreover, they should be sensitive enough to detect mycotoxins below the legally imposed limits. Separation methods coupled to sensitive and/or selective detection methods fulfill these requirements and are at this time the most definitive, but their drawback is that they are preceded by time-consuming sample extraction and clean-up, except if the raw extracts are analyzed (e.g. with LC-MS/MS). They are also rather expensive and demand specially trained personnel. For these reasons, the traditional as well as novel screening methods have found a wide application area in mycotoxin analysis [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>]. They usually provide rapid and sensitive detection, are very cost-effective and easy to use, thus they can be used by non-specialists and under field conditions as well. Although there is a greater emphasis on selectivity in novel assays [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>], the main drawback of many screening methods is still their cross-reactivity. Positive results should therefore be confirmed with more selective methods to avoid misinterpretations [<xref ref-type="bibr" rid="b35-ijms-10-00062">35</xref>].</p>
<sec sec-type="methods">
<title>2.1. Immunoassay-based methods</title>
<p>These methods are based on the interactions between antibodies and antigens, which are in this case mycotoxins. Antibodies are highly specific for structurally very different compounds, but can show considerable cross-reactivity for structural analogs, as they recognize only specific chemical groups - the epitope [<xref ref-type="bibr" rid="b15-ijms-10-00062">15</xref>, <xref ref-type="bibr" rid="b36-ijms-10-00062">36</xref>]. Mycotoxins are small, non-immunogenic molecules (haptens) and have to be bound to suitable carrier proteins to elicit adequate immune response and production of antibodies in an animal [<xref ref-type="bibr" rid="b37-ijms-10-00062">37</xref>]. Novel methods of recombinant antibody production can circumvent the binding of hapten to protein and inherent risk that the free hapten would not be detected in samples, as well as animal immunization [<xref ref-type="bibr" rid="b38-ijms-10-00062">38</xref>]. Another compound, variously named marker, tracer or label, is involved in the assay to facilitate detection. The marker may be radioactive in radioimmunoassay (RIA) - rarely used now, or a chromogenic or fluorogenic compound reacting with enzyme in enzyme immunoassay (EIA, ELISA) or in fluorescence immunoassay (FIA), respectively.</p>
<p>ELISA (enzyme-linked immunosorbent assay) is the most frequently applied type of assay [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b40-ijms-10-00062">40</xref>]. Substrate for the enzyme is usually a chromogenic substance. The assay is mostly performed in a 96-well plate, allowing simultaneous analysis of up to 45 samples in duplicate. Incubation times are 0.5–2 h and the developed color is usually measured spectrophotometrically [<xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>]. Other types of detection are possible, e.g. amperometric [<xref ref-type="bibr" rid="b42-ijms-10-00062">42</xref>] or by differential pulse voltammetry [<xref ref-type="bibr" rid="b43-ijms-10-00062">43</xref>]. The most simple, however, is the visual comparison of color intensity, providing either semiquantitative results [<xref ref-type="bibr" rid="b44-ijms-10-00062">44</xref>] or a yes/no response at a certain concentration level [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>] or concentration range [<xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>].</p>
<p>Other immunoassay type employs fluorescent markers, which involve fluorogenic substrate reacting with enzyme-linked analyte [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b40-ijms-10-00062">40</xref>, <xref ref-type="bibr" rid="b45-ijms-10-00062">45</xref>, <xref ref-type="bibr" rid="b46-ijms-10-00062">46</xref>] or measure fluorescence polarization induced by increased molecular mass of antibody-bound labeled mycotoxin [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b40-ijms-10-00062">40</xref>, <xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>, <xref ref-type="bibr" rid="b47-ijms-10-00062">47</xref>].</p>
<p>Marker-free immunoassays are based on natural fluorescence of some mycotoxins (AFs, OTs), conductometric or impedimetric measurements [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>]. Surface-plasmon resonance-based immunoassays (SPR) employ the change of surface optical characteristics upon binding of antibodies to the surface-bound antigen. The amount of free antibodies correlates with the mycotoxin content of the sample with which they are incubated [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>, <xref ref-type="bibr" rid="b48-ijms-10-00062">48</xref>, <xref ref-type="bibr" rid="b49-ijms-10-00062">49</xref>].</p>
<p>Besides the various detection modes, different constructions have also been developed in the field of immunoassay methods. The most common design is a multi-well microtiter plate used in classic ELISA with spectrophotometric or electrochemical detection [<xref ref-type="bibr" rid="b50-ijms-10-00062">50</xref>]. Flow-through or flow-injection immunoassays use immobilized proteins to separate antigen-antibody complexes and detect only the free marker [<xref ref-type="bibr" rid="b40-ijms-10-00062">40</xref>, <xref ref-type="bibr" rid="b42-ijms-10-00062">42</xref>, <xref ref-type="bibr" rid="b45-ijms-10-00062">45</xref>]. Mycotoxin-tagged liposomes have been prepared to develop a flow-injection liposome immunoanalysis (FILIA) [<xref ref-type="bibr" rid="b51-ijms-10-00062">51</xref>]. Flow-through test may be used as another name for immunofiltration, where antibodies are immobilized on a semi-permeable membrane. Such devices are simple to use in field conditions with visual detection, but can be also quantitatively evaluated with instrumental detection in laboratory settings [<xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>, <xref ref-type="bibr" rid="b44-ijms-10-00062">44</xref>]. Finally, various immunostrips or immunodipsticks, also named lateral flow devices (tests), have been developed for mycotoxin testing in the field, using either membrane with immobilized antibodies or dry reagents on the test strip. In the latter case, the sample would reach and dissolve the reagents by lateral capillary flow and the test is thus self-developing [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>–<xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>].</p>
<p>With respect to mycotoxin types, various innovative immunoassays mentioned above were developed for most of the main groups: AFs [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b42-ijms-10-00062">42</xref>–<xref ref-type="bibr" rid="b44-ijms-10-00062">44</xref>, <xref ref-type="bibr" rid="b47-ijms-10-00062">47</xref>, <xref ref-type="bibr" rid="b50-ijms-10-00062">50</xref>], trichothecenes [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>], FUMs [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b38-ijms-10-00062">38</xref>, <xref ref-type="bibr" rid="b48-ijms-10-00062">48</xref>, <xref ref-type="bibr" rid="b51-ijms-10-00062">51</xref>], RALs [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b45-ijms-10-00062">45</xref>], OTA [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b37-ijms-10-00062">37</xref>] and PAT [<xref ref-type="bibr" rid="b46-ijms-10-00062">46</xref>]. On the other hand, immunosensor arrays, designed to detect several mycotoxins from different groups simultaneously, are gaining in importance as well [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>, <xref ref-type="bibr" rid="b49-ijms-10-00062">49</xref>, <xref ref-type="bibr" rid="b52-ijms-10-00062">52</xref>–<xref ref-type="bibr" rid="b54-ijms-10-00062">54</xref>].</p>
<p>Immunoassays with colorimetric and fluorimetric detection generally display favorable detection limits (LOD 1–20 μg/kg) [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b40-ijms-10-00062">40</xref>, <xref ref-type="bibr" rid="b55-ijms-10-00062">55</xref>], but it must be re-emphasized that they should be used as a screening tool only to detect possible contamination with mycotoxins. It has been established that while false-negatives are rare, false-positives are more frequent and depend on many factors. Besides the inherent cross-reactivity, other conditions influence the result: temperature, sample viscosity, pH, ionic strength [<xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>]. If no sample clean-up or extraction is performed before the test, matrix effects might be expected [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b55-ijms-10-00062">55</xref>], sometimes leading to significant overestimation of mycotoxin concentration [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b56-ijms-10-00062">56</xref>]. Extraction usually involves polar organic solvents, although they are suboptimal for most mycotoxins. Typically methanol is used, which is tolerated to a various percentage depending on the design of the immunoassay [<xref ref-type="bibr" rid="b54-ijms-10-00062">54</xref>]. Co-extracted substances, e.g. fat, may also cause problems. For water-soluble mycotoxins, water or buffers can be used instead [<xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>], but in any case, additional clean-up may be needed, especially for colored samples [<xref ref-type="bibr" rid="b57-ijms-10-00062">57</xref>]. In case of visual estimation of tests, a concentration range should be considered rather than a cut-off value which is difficult to establish due to the analog nature of both color development and human vision [<xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>]. For all the reasons listed above, samples shown to be positive on mycotoxins should be re-analyzed by the reference method.</p></sec>
<sec>
<title>2.2. Sensors and biosensors</title>
<p>Sensors are devices composed of two elements: the molecule (usually biological), which selectively reacts with the compound(s) of interest (recognition element) and is in contact with a transducing element converting the change of the physical variable produced by the reaction into a measurable signal. In this respect, biosensors are those using biological molecules/entities as recognition elements: antibodies, enzymes, bacteria, receptors, DNA [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b58-ijms-10-00062">58</xref>, <xref ref-type="bibr" rid="b59-ijms-10-00062">59</xref>]. Transducing elements are usually optical or electrochemical.</p>
<p>Some of the immunoassay approaches described in the previous section can be considered as biosensors, provided that the measured signal originates directly from the antibody-antigen complex in contact with the transducing element [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>]. The latter can be an optical detector based on surface plasmon resonance [<xref ref-type="bibr" rid="b40-ijms-10-00062">40</xref>, <xref ref-type="bibr" rid="b48-ijms-10-00062">48</xref>, <xref ref-type="bibr" rid="b49-ijms-10-00062">49</xref>, <xref ref-type="bibr" rid="b60-ijms-10-00062">60</xref>], fluorescence [<xref ref-type="bibr" rid="b61-ijms-10-00062">61</xref>], optical waveguide lightmode spectroscopy - OWLS [<xref ref-type="bibr" rid="b53-ijms-10-00062">53</xref>] or total internal reflection ellipsometry - TIRE [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>]. Another possibility is an electrochemical detector based on potentiometry with carbon working electrode [<xref ref-type="bibr" rid="b50-ijms-10-00062">50</xref>, <xref ref-type="bibr" rid="b62-ijms-10-00062">62</xref>], differential pulse voltammetry, conductometry [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>], chronoamperometry [<xref ref-type="bibr" rid="b63-ijms-10-00062">63</xref>] and electrochemical impedance spectroscopy [<xref ref-type="bibr" rid="b64-ijms-10-00062">64</xref>]. Some of these sensors are for single mycotoxins and others are made for multi-toxin sensing (bisensor array). Other types of biosensors include enzymatically-mediated electrochemical sensors based on potentiometry, and DNA sensors [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b59-ijms-10-00062">59</xref>].</p>
<p>The advantages and disadvantages of biosensors are essentially the same as those of immunoassays: they are cheap, fast, portable, very suitable for routine screening of samples, but they suffer from the selectivity and reproducibility problems. The results should be therefore confirmed with the reference method [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b58-ijms-10-00062">58</xref>]. However, some electrochemical biosensors show excellent sensitivity with LODs below 0.1 μg/kg [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b50-ijms-10-00062">50</xref>, <xref ref-type="bibr" rid="b63-ijms-10-00062">63</xref>], while those based on optical detection achieve LODs comparable with ELISA (0.5–10 μg/kg) [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b53-ijms-10-00062">53</xref>].</p>
<p>Another type of sensors that mimic the biochemical recognition molecules is the one based on molecularly imprinted polymers (MIPs) [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b40-ijms-10-00062">40</xref>, <xref ref-type="bibr" rid="b65-ijms-10-00062">65</xref>–<xref ref-type="bibr" rid="b68-ijms-10-00062">68</xref>]. These functional materials have found a wider application in the field of selective sample preparation and will be discussed in more detail in the next section. MIP-based sensors have some advantages over biosensors: better stability in organic solvents, decreased degradation and loss of active sites [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b65-ijms-10-00062">65</xref>], but so far only the sensors with fluorescent tracers displaced by the analyte have been designed [<xref ref-type="bibr" rid="b67-ijms-10-00062">67</xref>]. Problems of these sensors are connected with problems of MIP materials in general: selectivity [<xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b67-ijms-10-00062">67</xref>], reproducible preparation [<xref ref-type="bibr" rid="b68-ijms-10-00062">68</xref>], sample contamination [<xref ref-type="bibr" rid="b66-ijms-10-00062">66</xref>, <xref ref-type="bibr" rid="b68-ijms-10-00062">68</xref>]. Nevertheless, MIP-based sensors are very promising and are expected to find wider application in the future.</p></sec>
<sec sec-type="methods">
<title>2.3. Other direct screening methods</title>
<p>Several approaches making use of the different chemical and physical characteristics of mycotoxins will be mentioned here: some already established, others just emerging. The best known method of the former is thin-layer chromatography (TLC), which, although used also for the more accurate analyses, can be applied for the screening purposes as well with visual or densitometric detection. Compared to ELISA, it shows better repeatability and is less prone to overestimation of the concentration due to its better selectivity, but requires more extensive sample clean-up and is more time-consuming [<xref ref-type="bibr" rid="b69-ijms-10-00062">69</xref>].</p>
<p>Flow-injection systems use a flow-through detector with rather high specificity for the analytes of interest. Examples are the system for total AFs using fluorimetric screening [<xref ref-type="bibr" rid="b70-ijms-10-00062">70</xref>] and system for RALs using electrochemical detection [<xref ref-type="bibr" rid="b71-ijms-10-00062">71</xref>]. In both cases an extraction and clean-up step is required. In case of samples with total concentration close to or above threshold limit, confirmation analysis is needed with a more selective method [<xref ref-type="bibr" rid="b70-ijms-10-00062">70</xref>, <xref ref-type="bibr" rid="b71-ijms-10-00062">71</xref>]. Static fluorimetric analysis of previously extracted and derivatized analyte was applied for DON screening in grains [<xref ref-type="bibr" rid="b72-ijms-10-00062">72</xref>].</p>
<p>An interesting AFB detection method is based on acetylcholinesterase inhibition by AFB1, subsequent enzyme substrate addition and spectrophotometric measurement of the product. The assay is very fast and quite sensitive, but strongly depends on the temperature and methanol concentration. It also shows a significant cross-reactivity to other AFs [<xref ref-type="bibr" rid="b73-ijms-10-00062">73</xref>]. Another bioassay for trichothecenes was developed, exploiting the inhibition of enzyme β-galactosidase in the yeast with subsequent colorimetric detection of the product of enzymatic reaction. With the additional use of the toxicity-enhancing agents, LODs comparable with ELISA were achieved [<xref ref-type="bibr" rid="b74-ijms-10-00062">74</xref>].</p></sec>
<sec sec-type="methods">
<title>2.4. Indirect screening methods</title>
<p>These methods are based on the measurement/determination and interpretation of a parameter or compound(s) in the sample that change relative to the mycotoxin concentration. The relation has to be established on a series of samples analyzed by a reference method. Most of these methods are also non-invasive, meaning less of the sample manipulation and faster throughput.</p>
<p>Various methods using infrared spectroscopy have been developed, e.g. Fourier transform mid-infrared spectroscopy (FTIR) in diffuse reflection (DR) [<xref ref-type="bibr" rid="b75-ijms-10-00062">75</xref>] or attenuated total reflection (ATR) mode for determination of DON in wheat or maize [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b75-ijms-10-00062">75</xref>, <xref ref-type="bibr" rid="b76-ijms-10-00062">76</xref>]. Principal component analysis (PCA) and cluster analysis were applied to evaluate the spectra and classify them on the basis of the mycotoxin contamination [<xref ref-type="bibr" rid="b75-ijms-10-00062">75</xref>–<xref ref-type="bibr" rid="b77-ijms-10-00062">77</xref>]. Spectra obtained in ATR mode were superior to DR spectra in terms of classification efficiency, e.g. samples with DON concentration 2.5–12.1 mg/kg were in 100 % classified as contaminated [<xref ref-type="bibr" rid="b75-ijms-10-00062">75</xref>]. FTIR-ATR measurements with partial least squares (PLS) as a regression method were successfully applied to evaluate OTA contamination in dried grapes [<xref ref-type="bibr" rid="b78-ijms-10-00062">78</xref>, <xref ref-type="bibr" rid="b79-ijms-10-00062">79</xref>]. Near-infrared spectroscopy (NIR) in the transmission mode with PCA and PLS calculations were used to develop a screening method for DON in wheat [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b80-ijms-10-00062">80</xref>]. NIR in reflectance mode and modified PLS algorithm were applied to determine total AFs, AFB1 and OTA in red paprika [<xref ref-type="bibr" rid="b81-ijms-10-00062">81</xref>]. All of the above methods are applied without any sample preparation except milling and sieving [<xref ref-type="bibr" rid="b77-ijms-10-00062">77</xref>], meaning great savings in time, but the disadvantage is that they are valid only for the sample matrix used during calibration [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>]. Even if this condition is met, poor spectral reproducibility may still occur for samples of the same type, but from different regions [<xref ref-type="bibr" rid="b78-ijms-10-00062">78</xref>].</p>
<p>A quite different approach for indirect detection of mycotoxins in sample is detection of volatile metabolites of the fungi. In this respect, a differentiation should be possible between toxicogenic (mycotoxin-producing) and non-toxicogenic strains. Determination of volatiles produced by fungi may be performed with the established methods, e.g. GC-MS with previous headspace extraction [<xref ref-type="bibr" rid="b82-ijms-10-00062">82</xref>, <xref ref-type="bibr" rid="b83-ijms-10-00062">83</xref>], but there is an increasing number of publications where the development of an electronic nose (e-nose) for this purpose is described. E-nose is an array of gas sensors based mostly on metal oxides. Since the response is non-specific, it has to be calibrated against reference method for volatiles and processed by chemometric methods to be able to classify subsequent samples in the appropriate groups [<xref ref-type="bibr" rid="b84-ijms-10-00062">84</xref>–<xref ref-type="bibr" rid="b88-ijms-10-00062">88</xref>]. So far, this approach has been successfully used for the determination and even prediction of concentration of OTA (classification limit 5 μg/kg) and DON in barley [<xref ref-type="bibr" rid="b87-ijms-10-00062">87</xref>] and PAT in apples [<xref ref-type="bibr" rid="b86-ijms-10-00062">86</xref>]. Other publications report only detection of mold growth on wheat [<xref ref-type="bibr" rid="b84-ijms-10-00062">84</xref>, <xref ref-type="bibr" rid="b85-ijms-10-00062">85</xref>], the approach that can be as effective as sensory panels [<xref ref-type="bibr" rid="b88-ijms-10-00062">88</xref>]. However, it is possible to differentiate between toxicogenic and non-toxicogenic strains of fungi by detecting specific volatile metabolite(s), albeit as far as now only by GC-MS [<xref ref-type="bibr" rid="b82-ijms-10-00062">82</xref>, <xref ref-type="bibr" rid="b83-ijms-10-00062">83</xref>]. Again, sample preparation step is shortened or even absent in the case of e-nose use, but matrix dependence is significant in this approach as well.</p>
<p>As an estimation of the total fungal biomass in samples, e.g. maize, the determination of fungal metabolite ergosterol is often performed with HPLC [<xref ref-type="bibr" rid="b76-ijms-10-00062">76</xref>, <xref ref-type="bibr" rid="b89-ijms-10-00062">89</xref>, <xref ref-type="bibr" rid="b90-ijms-10-00062">90</xref>].</p></sec></sec>
<sec>
<title>3. Sample preparation and pre-concentration</title>
<p>One of the crucial steps for the qualitative and quantitative determination of individual mycotoxins is the sample preparation and pre-concentration. Several different extraction procedures are used for the purpose and will be overviewed in this section. Some of these are well-established techniques and others just emerging, which have yet to prove their relative advantages and demonstrate shortcomings. The emphasis in the field of sample preparation in the last few decades has been on the minimization of solvent use, especially of environmentally and health-harmful chlorinated solvents, as well as on the miniaturization of the procedures, meaning also smaller sample size, while at the same time maintaining the efficiency. The other field of development is in the highly analyte-specific extraction techniques with added benefit of reduced need for subsequent purification of the extracts. On the other hand, older sample preparation techniques, although usually time-consuming and more labor-intensive, have the advantage of long-term use: the possible pitfalls are well recognized and can thus be relatively easily avoided. One should bear in mind that several serious systematic errors are possible in this step of analysis, some of which will be mentioned shortly, and then again overviewed in the Section 6 of this review.</p>
<sec>
<title>3.1. Solvent extraction</title>
<p>The oldest, but still frequently used sample preparation technique is solvent extraction (SE), in the case of liquid samples also named liquid-liquid extraction (LLE). Both aqueous - e.g. buffers, hot water, and organic solvents - e.g. acetonitrile, chloroform, methanol, ethyl acetate etc. are used. Samples may be solid or liquid. With liquid samples this step serves as an enrichment and/or clean-up procedure, while with solid samples SE is a necessary pre-step for further manipulation of sample extract. Different modes of SE can be employed, such as conventional Soxhlet extraction, used for solid samples [<xref ref-type="bibr" rid="b91-ijms-10-00062">91</xref>] and ultrasonic extraction [<xref ref-type="bibr" rid="b92-ijms-10-00062">92</xref>]. One well-recognized drawback of Soxhlet extraction is the possible production of artifacts from thermally less stable compounds, although it hasn’t yet been shown for mycotoxins. More recent techniques include supercritical fluid extraction (SFE) [<xref ref-type="bibr" rid="b71-ijms-10-00062">71</xref>], pressurized liquid extraction (PLE), also known as accelerated solvent extraction (ASE) [<xref ref-type="bibr" rid="b45-ijms-10-00062">45</xref>, <xref ref-type="bibr" rid="b93-ijms-10-00062">93</xref>–<xref ref-type="bibr" rid="b96-ijms-10-00062">96</xref>] or microwave-assisted extraction (MAE) [<xref ref-type="bibr" rid="b97-ijms-10-00062">97</xref>]. They require less solvent and usually a better extraction efficiency (in terms of extraction yield or recovery) is reached comparable to classical SE/LLE. Furthermore, by means of modern MAE and especially SFE approaches, both extraction and clean-up can be performed in a single step [<xref ref-type="bibr" rid="b97-ijms-10-00062">97</xref>, <xref ref-type="bibr" rid="b98-ijms-10-00062">98</xref>]. One drawback of PLE/ASE is seen for complex samples, where rather dirty extracts are obtained because of matrix coextraction [<xref ref-type="bibr" rid="b91-ijms-10-00062">91</xref>].</p></sec>
<sec>
<title>3.2. Solid-phase extraction</title>
<p>Solid phase extraction (SPE) is another possibility for direct extraction of liquid samples, in mycotoxin analysis most often used for clean-up and pre-concentration of extracts. Originally, SPE has been performed on broad-range, non-specific stationary phases (reverse-phase, normal-phase, ion-exchange, activated carbon etc.), while recently there has been greater emphasis on the use of another type of materials, which enable very selective binding of target molecules and sometimes also higher recoveries [<xref ref-type="bibr" rid="b99-ijms-10-00062">99</xref>]. The most popular are immunoaffinity (IA) materials, while molecularly imprinted polymers (MIP) are an emerging, cheaper and very promising alternative [<xref ref-type="bibr" rid="b65-ijms-10-00062">65</xref>, <xref ref-type="bibr" rid="b100-ijms-10-00062">100</xref>].</p>
<p>SPE on non-specific materials is still often employed in mycotoxin analysis. This kind of extraction is mainly performed for multiresidual determination of mycotoxins followed by LC-MS/MS [<xref ref-type="bibr" rid="b101-ijms-10-00062">101</xref>, <xref ref-type="bibr" rid="b102-ijms-10-00062">102</xref>], where greater selectivity of SPE material would be a limiting element.</p>
<p>IA materials are prepared by binding antibodies specific for a given mycotoxin to a specially activated solid-phase support. Immunoaffinity extraction (IAE) is performed generally for all mycotoxins in very diverse matrices [<xref ref-type="bibr" rid="b98-ijms-10-00062">98</xref>, <xref ref-type="bibr" rid="b103-ijms-10-00062">103</xref>–<xref ref-type="bibr" rid="b111-ijms-10-00062">111</xref>]. More complex samples require combination of different clean-up procedures (for example LLE, SPE, precipitation of matrix substances) with immunoaffinity columns (IAC) [<xref ref-type="bibr" rid="b109-ijms-10-00062">109</xref>, <xref ref-type="bibr" rid="b112-ijms-10-00062">112</xref>]. The IAC are not absolutely selective for individual mycotoxins as also mycotoxin analogues are usually bound to the material. However, when a separation technique is used for the subsequent determination, this does not present a problem [<xref ref-type="bibr" rid="b104-ijms-10-00062">104</xref>, <xref ref-type="bibr" rid="b108-ijms-10-00062">108</xref>, <xref ref-type="bibr" rid="b109-ijms-10-00062">109</xref>]. As an additional advantage, IAC for different groups of mycotoxins are commercially available [<xref ref-type="bibr" rid="b103-ijms-10-00062">103</xref>, <xref ref-type="bibr" rid="b111-ijms-10-00062">111</xref>]. The main problem concerning clean-up via immunoaffinity columns is the denaturation of the antibodies in the presence of even low concentrations of organic solvents, therefore expenses are rather high [<xref ref-type="bibr" rid="b106-ijms-10-00062">106</xref>]. One way to overcome this problem is by extract dilution, although it may cause a loss of sensitivity. The capacity of IAC may also be a problem. Lately, sol-gel immunoaffinity columns have become available. Their use is less time-consuming and less costly; columns have superior storage stability [<xref ref-type="bibr" rid="b107-ijms-10-00062">107</xref>].</p>
<p>Usually, the antibodies for IA materials are prepared <italic>in vivo</italic> by immunization of animals with mycotoxins bound to suitable carrier proteins, but lately IAE on synthetically generated antibodies with specific affinity to mycotoxins has been reported [<xref ref-type="bibr" rid="b38-ijms-10-00062">38</xref>, <xref ref-type="bibr" rid="b110-ijms-10-00062">110</xref>].</p>
<p>Another modern SPE with specific material is moleculary imprinted solid phase extraction (MISPE), which enables extraction of a single mycotoxin or a whole group. MIPs are tailor-made synthetic materials with artificial binding sites, able to selectively recognize a target molecule [<xref ref-type="bibr" rid="b65-ijms-10-00062">65</xref>, <xref ref-type="bibr" rid="b100-ijms-10-00062">100</xref>]. Preparation of moleculary imprinted polymers is based on polymerization of selected monomers around the template molecule. As a template, target molecule or the so called mimic template can be used, which is usually a structural analogue of the analyte [<xref ref-type="bibr" rid="b65-ijms-10-00062">65</xref>, <xref ref-type="bibr" rid="b113-ijms-10-00062">113</xref>]. Preparation procedure of MIPs based on target molecule as the template is problematic with trace analysis, as there may remain residues of the template in the polymer material and therefore leaking of analyte is observed [<xref ref-type="bibr" rid="b65-ijms-10-00062">65</xref>, <xref ref-type="bibr" rid="b68-ijms-10-00062">68</xref>]. Additionally, some mycotoxins are too toxic or too expensive for preparation of MIPs [<xref ref-type="bibr" rid="b68-ijms-10-00062">68</xref>]. On the other hand, there are also difficulties with selecting the optimal mimic templates. Structurally optimal compounds are not always commercially available as their isolation or preparation could be expensive, especially in the amounts needed for MIPs preparation. Selection of suboptimal mimic template leads to a limited molecular recognition effect [<xref ref-type="bibr" rid="b68-ijms-10-00062">68</xref>]. For this reason, many investigations on preparation of MIPs with mimic templates are published: for ZON [<xref ref-type="bibr" rid="b66-ijms-10-00062">66</xref>, <xref ref-type="bibr" rid="b67-ijms-10-00062">67</xref>, <xref ref-type="bibr" rid="b100-ijms-10-00062">100</xref>], DON [<xref ref-type="bibr" rid="b114-ijms-10-00062">114</xref>], OTA [<xref ref-type="bibr" rid="b68-ijms-10-00062">68</xref>] and moniliformin [<xref ref-type="bibr" rid="b115-ijms-10-00062">115</xref>]. Usage of MISPE as a clean-up method for the mycotoxin determination increases because of its efficiency in very complex matrices and because of MIPs stability, e.g. in apolar solvents, especially when compared with IA materials [<xref ref-type="bibr" rid="b68-ijms-10-00062">68</xref>].</p>
<p>Conventional SPE materials are also used for the clean-up purposes. The most successful is often a combination of different materials [<xref ref-type="bibr" rid="b58-ijms-10-00062">58</xref>]; one of such multifunctional clean-up columns is MycoSep [<xref ref-type="bibr" rid="b98-ijms-10-00062">98</xref>, <xref ref-type="bibr" rid="b116-ijms-10-00062">116</xref>]. They contain a combination of different sorbents, e.g. charcoal, ion-exchange resins etc., and are designed for easy and rapid handling - extract is obtained within 30 s [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>]. The major advantages of these columns are the reduced amount of solvent and avoidance of time-consuming rinsing steps required in single-phase SPE. Other interesting development in the SPE field is primarily the introduction of new materials, e.g. surfactant modified zeolites [<xref ref-type="bibr" rid="b117-ijms-10-00062">117</xref>].</p>
<p>All described SPE materials are usually packed in the open cartridges for off-line applications, but also other modes of extraction media are reported: package in short HPLC columns for on-line applications, multiwell extraction plate for high throughput analysis [<xref ref-type="bibr" rid="b65-ijms-10-00062">65</xref>, <xref ref-type="bibr" rid="b113-ijms-10-00062">113</xref>], monolithic CIM disks [<xref ref-type="bibr" rid="b105-ijms-10-00062">105</xref>] etc. As the sample preparation is frequently the crucial step in the determination of mycotoxins, some on-line extraction procedures, requiring less manipulation of the sample, were shown to be better compared to the off-line approach [<xref ref-type="bibr" rid="b24-ijms-10-00062">24</xref>, <xref ref-type="bibr" rid="b58-ijms-10-00062">58</xref>, <xref ref-type="bibr" rid="b118-ijms-10-00062">118</xref>]. Most SPE procedures include the following steps: column conditioning, sample loading, column washing and analyte elution.</p>
<p>Another mode of SPE for solid or semi-solid samples is matrix solid phase dispersion (MSPD), where the sample and sorbent material are mixed homogenously. This mixture is than packed in cartridge and afterwards elution is performed. MSPD on non-selective materials, e.g. silica, phenylsilica, alumina, C<sub>8</sub> and C<sub>18</sub> has been reported for the determination of AFs in peanuts [<xref ref-type="bibr" rid="b119-ijms-10-00062">119</xref>], RALs in fish tissue [<xref ref-type="bibr" rid="b28-ijms-10-00062">28</xref>] and trichothecenes in maize flour [<xref ref-type="bibr" rid="b120-ijms-10-00062">120</xref>].</p>
<p>Development of powerful separation-identification analytical techniques such as GC-MS and HPLC-MS/MS, which are nowadays routinely used, simplified sample preparation by employing only one single step of LLE or SPE [<xref ref-type="bibr" rid="b119-ijms-10-00062">119</xref>, <xref ref-type="bibr" rid="b121-ijms-10-00062">121</xref>–<xref ref-type="bibr" rid="b125-ijms-10-00062">125</xref>], but as will be discussed in Section 4, remaining matrix compounds may cause certain problems even with these analytical techniques.</p></sec>
<sec>
<title>3.3. Other extraction techniques</title>
<p>As the alternative to SPE procedures use of solid phase microextraction (SPME) is reported. This technique employs fibres coated with different stationary phases on which analytes are sorbed from liquid (aqueous) or gaseous samples. Desorption can be performed thermally in combination with GC analysis or with different solvents followed by HPLC analysis. SPME sampling in combination with HPLC analyses was performed for the determination of OTA, CPA, MPA [<xref ref-type="bibr" rid="b22-ijms-10-00062">22</xref>, <xref ref-type="bibr" rid="b23-ijms-10-00062">23</xref>, <xref ref-type="bibr" rid="b27-ijms-10-00062">27</xref>, <xref ref-type="bibr" rid="b28-ijms-10-00062">28</xref>, <xref ref-type="bibr" rid="b126-ijms-10-00062">126</xref>, <xref ref-type="bibr" rid="b127-ijms-10-00062">127</xref>]. Another application involving SPME for the mycotoxin determination is the detection of volatile fungal metabolites [<xref ref-type="bibr" rid="b82-ijms-10-00062">82</xref>, <xref ref-type="bibr" rid="b83-ijms-10-00062">83</xref>, <xref ref-type="bibr" rid="b85-ijms-10-00062">85</xref>], where also stir bar sorptive extraction (SBSE) can be employed [<xref ref-type="bibr" rid="b82-ijms-10-00062">82</xref>]. SBSE uses a coated magnetic stir bar to capture analytes. The extraction phase is mostly PDMS. SBSE has higher recoveries and higher capacity than SPME fibres and therefore additional applications in this field are expected.</p></sec>
<sec>
<title>3.4. Other sample preparation techniques</title>
<p>Rarely, other sample preparation methods are also used, such as immunofiltration for DON [<xref ref-type="bibr" rid="b128-ijms-10-00062">128</xref>] and AFB1 determination [<xref ref-type="bibr" rid="b44-ijms-10-00062">44</xref>], diphasic dialysis extraction for PAT determination [<xref ref-type="bibr" rid="b129-ijms-10-00062">129</xref>], coacervative extraction for simultaneous extraction and concentration of OTA in wines [<xref ref-type="bibr" rid="b130-ijms-10-00062">130</xref>], use of supported liquid membrane for OTA determination [<xref ref-type="bibr" rid="b131-ijms-10-00062">131</xref>] and capillary fused silica columns as the traps for the extraction of T-2 toxin from aqueous solutions [<xref ref-type="bibr" rid="b132-ijms-10-00062">132</xref>]. Only individual applications are reported so far, but some may find wider application in the future.</p>
<p>Clean-up of the samples has also been reported with the addition of specific chemicals, e. g. zinc acetate [<xref ref-type="bibr" rid="b133-ijms-10-00062">133</xref>], hydrogen carbonate and PEG [<xref ref-type="bibr" rid="b112-ijms-10-00062">112</xref>], lead hydroxyacetate [<xref ref-type="bibr" rid="b134-ijms-10-00062">134</xref>], mostly to precipitate matrix substances, e.g. fatty acids [<xref ref-type="bibr" rid="b135-ijms-10-00062">135</xref>]. The majority of these procedures were described for the determination of OTA in different matrices.</p></sec></sec>
<sec sec-type="methods">
<title>4. Analytical methods</title>
<p>The vast majority of chemical analytical methods applied for accurate, selective and sensitive mycotoxin determination in various samples come from the group of separation methods: chromatography, electrophoresis. One of them, high performance liquid chromatography (HPLC) with different detectors is frequently used both for routine analyses and as confirmatory method for novel or screening techniques [<xref ref-type="bibr" rid="b35-ijms-10-00062">35</xref>, <xref ref-type="bibr" rid="b45-ijms-10-00062">45</xref>, <xref ref-type="bibr" rid="b51-ijms-10-00062">51</xref>, <xref ref-type="bibr" rid="b58-ijms-10-00062">58</xref>, <xref ref-type="bibr" rid="b71-ijms-10-00062">71</xref>, <xref ref-type="bibr" rid="b81-ijms-10-00062">81</xref>]. For some mycotoxins, e.g. trichothecenes, gas chromatography (GC) is the method more often used [<xref ref-type="bibr" rid="b76-ijms-10-00062">76</xref>]. Except for direct mass spectrometric methods, all the other analytical methods used for mycotoxin determination are either immunoassay-based or otherwise fall in the category of direct or indirect screening methods. They were described in details within the Section 2 of the present review.</p>
<p>Similarly to other analytical steps in the mycotoxin determination, the field of separation methods used for this purpose has shown a tremendous development in the last ten years, which can be easily observed from the comparison of analytical reviews of that time [<xref ref-type="bibr" rid="b25-ijms-10-00062">25</xref>, <xref ref-type="bibr" rid="b69-ijms-10-00062">69</xref>, <xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>–<xref ref-type="bibr" rid="b140-ijms-10-00062">140</xref>] and in the last few years [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>, <xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>, <xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b141-ijms-10-00062">141</xref>–<xref ref-type="bibr" rid="b145-ijms-10-00062">145</xref>]. The great majority of the older and novel methods have detection limits well below the corresponding maximum residue levels in samples [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>, <xref ref-type="bibr" rid="b139-ijms-10-00062">139</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. The driving force behind this development is therefore not so much the sensitivity, but the greater simplicity and higher throughput of novel methods. The detector of choice has become the mass spectrometer, preferably even tandem mass spectrometer [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>, <xref ref-type="bibr" rid="b141-ijms-10-00062">141</xref>–<xref ref-type="bibr" rid="b143-ijms-10-00062">143</xref>]. Judging from the number of publications, fluorimetric detector for HPLC is still very popular due to its sensitivity, selectivity, rather low price and ease of use, although derivatization is necessary for most mycotoxins. Other detectors for HPLC are also used, most notably UV-spectrometric. Good chromatographic separation of analytes is mandatory in combination with all detectors except MS, where some peak overlapping is allowed, therefore the chromatographic conditions will be described only in the second sub-section on LC-FL. As regards the use of other separation methods, GC is often applied for volatile mycotoxins, followed by electrophoretic methods, modern thin-layer chromatography and others [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>, <xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b144-ijms-10-00062">144</xref>, <xref ref-type="bibr" rid="b145-ijms-10-00062">145</xref>].</p>
<sec>
<title>4.1. Liquid chromatography coupled to mass spectrometry (LC-MS)</title>
<p>Liquid chromatography hyphenated to mass spectrometry (LC-MS) or tandem mass spectrometry (LC-MS/MS) has in the last ten years advanced to the status of the reference and definitive method in the field of mycotoxin analysis. The reasons are, among others, the development of efficient electrospray (ESI) and atmospheric pressure chemical ionization (APCI) interfaces for LC-MS coupling, the developments in the field of mass analyzers, and the considerably greater simplicity of use and affordability of tandem mass spectrometers. Probably the greatest merit goes to the ESI and APCI. Before their development, the LC-MS analyses of mycotoxins were performed using thermospray and fast-atom bombardment interfaces, but with significant difficulties [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>]. Modern LC-MS instruments with ESI or APCI enable ionization in both positive and negative mode, as well as switching between them in the same chromatographic run [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>], which means the best possible detection conditions for all analytes.</p>
<p>Most newly developed LC-MS methods enable analysis of a whole group of similar mycotoxins. For A-trichothecenes, a method using LC-APCI(+)-MS and deuterated T-2 toxin as an internal standard (IS) was developed [<xref ref-type="bibr" rid="b146-ijms-10-00062">146</xref>], while in another research with tandem MS [<xref ref-type="bibr" rid="b147-ijms-10-00062">147</xref>], ESI in negative mode yielded better results for four B-trichothecenes than APCI in either mode. Electrospray with MS/MS was applied to the semi-quantitative analysis of non-macrocyclic and macrocyclic trichothecenes in samples from indoor environments [<xref ref-type="bibr" rid="b148-ijms-10-00062">148</xref>]. Six B-trichothecenes and metabolites were determined by LC-APCI(−)-MS with dexamethasone as an internal standard [<xref ref-type="bibr" rid="b149-ijms-10-00062">149</xref>]. Trichothecenes from groups A and B were analyzed using APCI and tandem MS without IS [<xref ref-type="bibr" rid="b150-ijms-10-00062">150</xref>] or by ESI and MS/MS with deepoxydeoxynivalenol as IS [<xref ref-type="bibr" rid="b151-ijms-10-00062">151</xref>].</p>
<p>Several LC-MS methods have been published for the determination of estrogenic <italic>Fusarium</italic> mycotoxins - RALs (zearalenone and its metabolites) [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>] with a single mass analyzer [<xref ref-type="bibr" rid="b109-ijms-10-00062">109</xref>, <xref ref-type="bibr" rid="b140-ijms-10-00062">140</xref>, <xref ref-type="bibr" rid="b152-ijms-10-00062">152</xref>, <xref ref-type="bibr" rid="b153-ijms-10-00062">153</xref>] or tandem MS [<xref ref-type="bibr" rid="b28-ijms-10-00062">28</xref>, <xref ref-type="bibr" rid="b91-ijms-10-00062">91</xref>, <xref ref-type="bibr" rid="b140-ijms-10-00062">140</xref>, <xref ref-type="bibr" rid="b154-ijms-10-00062">154</xref>–<xref ref-type="bibr" rid="b156-ijms-10-00062">156</xref>]. The ionization was possible both by APCI [<xref ref-type="bibr" rid="b28-ijms-10-00062">28</xref>, <xref ref-type="bibr" rid="b109-ijms-10-00062">109</xref>, <xref ref-type="bibr" rid="b152-ijms-10-00062">152</xref>, <xref ref-type="bibr" rid="b154-ijms-10-00062">154</xref>] and ESI [<xref ref-type="bibr" rid="b28-ijms-10-00062">28</xref>, <xref ref-type="bibr" rid="b91-ijms-10-00062">91</xref>, <xref ref-type="bibr" rid="b153-ijms-10-00062">153</xref>, <xref ref-type="bibr" rid="b156-ijms-10-00062">156</xref>]. Additional focus was drawn to the determination of the conjugated analytes in samples [<xref ref-type="bibr" rid="b157-ijms-10-00062">157</xref>] and of zearalenone metabolites [<xref ref-type="bibr" rid="b158-ijms-10-00062">158</xref>]. Matrix compounds can cause a considerable suppression of analyte ionization [<xref ref-type="bibr" rid="b28-ijms-10-00062">28</xref>, <xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>], therefore the use of internal standards is recommended for quantification. A structural analogue zearalanone has been widely used for this purpose [<xref ref-type="bibr" rid="b150-ijms-10-00062">150</xref>, <xref ref-type="bibr" rid="b153-ijms-10-00062">153</xref>, <xref ref-type="bibr" rid="b154-ijms-10-00062">154</xref>], although this can be a metabolite as well [<xref ref-type="bibr" rid="b155-ijms-10-00062">155</xref>]. Therefore, deuterated internal standards are used as better, albeit more expensive alternative [<xref ref-type="bibr" rid="b91-ijms-10-00062">91</xref>, <xref ref-type="bibr" rid="b109-ijms-10-00062">109</xref>, <xref ref-type="bibr" rid="b156-ijms-10-00062">156</xref>, <xref ref-type="bibr" rid="b159-ijms-10-00062">159</xref>]. Additional confusion in the determination of RAL mycotoxins, especially in animal samples, can arise from the presence of structurally related anabolic substance zeranol and its metabolites, which are also ionized by ESI and should be considered in the method [<xref ref-type="bibr" rid="b33-ijms-10-00062">33</xref>, <xref ref-type="bibr" rid="b102-ijms-10-00062">102</xref>, <xref ref-type="bibr" rid="b160-ijms-10-00062">160</xref>, <xref ref-type="bibr" rid="b161-ijms-10-00062">161</xref>].</p>
<p>Fumonisins are another group of <italic>Fusarium</italic> mycotoxins occurring mostly in corn. LC-MS methods employed for their analysis [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>] apply single analyzer [<xref ref-type="bibr" rid="b162-ijms-10-00062">162</xref>, <xref ref-type="bibr" rid="b163-ijms-10-00062">163</xref>] or ESI(+) with tandem MS [<xref ref-type="bibr" rid="b164-ijms-10-00062">164</xref>, <xref ref-type="bibr" rid="b165-ijms-10-00062">165</xref>]. Enniatins and beauvericin, produced by the same fungal genus, have also been determined by LC-MS/MS [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b166-ijms-10-00062">166</xref>]. Moniliformin, a low molecular weight and highly polar mycotoxin produced by <italic>Fusarium</italic> species, is efficiently ionized in the negative mode of ESI and APCI [<xref ref-type="bibr" rid="b121-ijms-10-00062">121</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b167-ijms-10-00062">167</xref>], but may have to be derivatized in order to achieve retention on reverse-phase LC columns [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Alternatively, ion-pairing can be used for this purpose [<xref ref-type="bibr" rid="b167-ijms-10-00062">167</xref>]. Methods for the analysis of <italic>Fusarium</italic> mycotoxins from different chemical groups with LC-MS/MS have been published as well, requiring optimized ionization conditions and switching between positive and negative modes for every group [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b168-ijms-10-00062">168</xref>, <xref ref-type="bibr" rid="b169-ijms-10-00062">169</xref>]. Use of isotopically labeled IS is preferable [<xref ref-type="bibr" rid="b163-ijms-10-00062">163</xref>].</p>
<p>Aflatoxins are mycotoxins produced by <italic>Aspergillus</italic> fungal species, occurring in various food and feed commodities. However, the published LC-MS methods are relatively uncommon, mainly because of well-established, reliable and sensitive LC methods with fluorescence detectors measuring the natural fluorescence of aflatoxins [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Compared to that, there are several LC-MS methods dealing with the precursor sterigmatocystin [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b170-ijms-10-00062">170</xref>–<xref ref-type="bibr" rid="b172-ijms-10-00062">172</xref>]. ESI ionization is applied in most LC-MS methods for aflatoxins [<xref ref-type="bibr" rid="b119-ijms-10-00062">119</xref>, <xref ref-type="bibr" rid="b172-ijms-10-00062">172</xref>–<xref ref-type="bibr" rid="b174-ijms-10-00062">174</xref>], APCI much less [<xref ref-type="bibr" rid="b122-ijms-10-00062">122</xref>], as it seems to be less efficient than the former, except in the case of aflatoxin precursor sterigmatocystin [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Atmospheric pressure photoionization (APPI) might be a better alternative to ESI than APCI [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Most studies report absence of matrix effects and ion suppression in ionization [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>], while Cervino <italic>et al.</italic> [<xref ref-type="bibr" rid="b174-ijms-10-00062">174</xref>] found matrix independent response for AFB2 and AFG2 and strong matrix dependence for other aflatoxins even while using deuterated internal standards, therefore matrix-matched calibration was recommended.</p>
<p>Ochratoxins, especially ochratoxin A (OTA), are another group of harmful mycotoxins for which, due to their natural fluorescence, several well-established and sensitive LC-FL methods exist. Therefore, LC-MS methods aren’t as frequently encountered as for <italic>Fusarium</italic> mycotoxins. The first methods were published at the beginning of this review’s timespan [<xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>, <xref ref-type="bibr" rid="b175-ijms-10-00062">175</xref>], utilizing ESI ionization. The same interface has featured in most methods up to date, used either in positive [<xref ref-type="bibr" rid="b101-ijms-10-00062">101</xref>, <xref ref-type="bibr" rid="b176-ijms-10-00062">176</xref>] or negative mode [<xref ref-type="bibr" rid="b127-ijms-10-00062">127</xref>, <xref ref-type="bibr" rid="b173-ijms-10-00062">173</xref>], the former offering a more specific fragmentation pattern [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Use of APCI interface results in lower sensitivity due to extensive fragmentation of OTA [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. There are reports of decreased ionization efficiency because of matrix effects [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>], therefore the calibration step is crucial. Nevertheless, some authors report excellent results with external calibration [<xref ref-type="bibr" rid="b101-ijms-10-00062">101</xref>, <xref ref-type="bibr" rid="b173-ijms-10-00062">173</xref>], while in other studies ochratoxin B (OTB) was used as an internal standard [<xref ref-type="bibr" rid="b127-ijms-10-00062">127</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b177-ijms-10-00062">177</xref>]. Instrument sensitivity for OTB is significantly lower compared to OTA, therefore high concentrations of OTB are needed [<xref ref-type="bibr" rid="b127-ijms-10-00062">127</xref>]. Although uncommon by now, the use of deuterated internal standards is preferable [<xref ref-type="bibr" rid="b176-ijms-10-00062">176</xref>]. LC-MS has been comparatively more often used for the elucidation of OTA metabolites [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>] and products of photodegradation [<xref ref-type="bibr" rid="b118-ijms-10-00062">118</xref>].</p>
<p>Published LC-MS methods for the determination of less ubiquitous mycotoxins are not frequently encountered. <italic>Alternaria</italic> toxins in various fruit samples were determined by LC-MS/MS. ESI in negative mode offered the best sensitivity and specificity compared to ESI(+) and APCI in either mode [<xref ref-type="bibr" rid="b178-ijms-10-00062">178</xref>]. Analysis of patulin in apple juice was successfully accomplished with a single mass analyzer in SIM mode [<xref ref-type="bibr" rid="b179-ijms-10-00062">179</xref>]. Use of isotopically-labeled internal standard is advisable [<xref ref-type="bibr" rid="b180-ijms-10-00062">180</xref>]. In another study, Takino <italic>et al.</italic> compared APCI and APPI for the same purpose and found that APPI provides lower chemical noise and ionization suppression even in the absence of internal calibration [<xref ref-type="bibr" rid="b181-ijms-10-00062">181</xref>]. On the other hand, some authors found LC-MS considerably less sensitive than GC-MS and recommended it for structural confirmation only in spite of the more simple sample preparation [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Citrinin can be efficiently ionized by ESI and determined by tandem MS [<xref ref-type="bibr" rid="b172-ijms-10-00062">172</xref>]. The most important ergot alkaloids and their isomers of lower toxicity have been determined by ESI-MS/MS [<xref ref-type="bibr" rid="b182-ijms-10-00062">182</xref>]. Finally, there is a heterogenous group of mycotoxins produced mainly by <italic>Penicillium</italic> species, among them cyclopiazonic acid (CPA), mycophenolic acid (MPA) and roquefortin C. A method using LC-ESI-MS/MS in SRM mode was employed for CPA in milk samples [<xref ref-type="bibr" rid="b183-ijms-10-00062">183</xref>]. Several methods exist for the determination of MPA, which is also a metabolite of an immunosuppression drug [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. A full-scan and SRM LC-MS/MS method for the analysis of six <italic>Penicillium</italic> mycotoxins with low detection limits was developed as well [<xref ref-type="bibr" rid="b17-ijms-10-00062">17</xref>].</p>
<p>The strength of LC-MS methods lies in the possibility to perform multi-analyte analyses. Due to the highly specific mode of detection in tandem MS (SRM), chromatographic separation is slightly less important and overlapping peaks can be tolerated. Still, the challenges of achieving right chromatographic conditions remain especially in modulating pH and additives in the mobile phase to promote the optimal ionization of analytes in the ion source. Since mycotoxins vary greatly in the polarity, molecular mass etc., optimal ionization can only be accomplished in modern instruments with rapid switching between negative and positive ionization modes required by different chemical classes [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>]. Sample preparation and especially extract purification is problematic as it relies heavily on the polarity and functional groups of analytes; simultaneous extraction of different chemical groups without significant matrix carry-over is thus nearly impossible. If no clean-up is applied, significant and unpredictable ionization suppression of different mycotoxins should be expected [<xref ref-type="bibr" rid="b123-ijms-10-00062">123</xref>, <xref ref-type="bibr" rid="b124-ijms-10-00062">124</xref>]. Reliable quantification can be achieved only by matrix-matched calibration with model matrix resembling the actual samples as much as possible [<xref ref-type="bibr" rid="b124-ijms-10-00062">124</xref>, <xref ref-type="bibr" rid="b184-ijms-10-00062">184</xref>] and also by using isotopically-labeled internal standards whenever possible, preferably one IS per analyte [<xref ref-type="bibr" rid="b141-ijms-10-00062">141</xref>, <xref ref-type="bibr" rid="b185-ijms-10-00062">185</xref>, <xref ref-type="bibr" rid="b186-ijms-10-00062">186</xref>]. Structurally analogous internal standards may not compensate for the matrix effect at all, as the ionization efficiency could be different. Although the deuterated IS are preferable, they may still exhibit some unpleasant phenomena, e.g. different extraction recoveries or exchange of deuterium by hydrogen atoms. Stable <sup>13</sup>C-labeled IS seem to be the best choice for now [<xref ref-type="bibr" rid="b186-ijms-10-00062">186</xref>]. In spite of these drawbacks and potential problems, the number of published multi-analyte LC-MS methods for mycotoxins from different chemical groups and their metabolites is increasing and ranges from “small-size” [<xref ref-type="bibr" rid="b17-ijms-10-00062">17</xref>, <xref ref-type="bibr" rid="b150-ijms-10-00062">150</xref>, <xref ref-type="bibr" rid="b172-ijms-10-00062">172</xref>, <xref ref-type="bibr" rid="b187-ijms-10-00062">187</xref>] and “medium-size” multi-analyte methods - above 10 different compounds [<xref ref-type="bibr" rid="b151-ijms-10-00062">151</xref>, <xref ref-type="bibr" rid="b169-ijms-10-00062">169</xref>, <xref ref-type="bibr" rid="b188-ijms-10-00062">188</xref>] to “large-size” - above 30 compounds in the same chromatographic run [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>, <xref ref-type="bibr" rid="b121-ijms-10-00062">121</xref>, <xref ref-type="bibr" rid="b123-ijms-10-00062">123</xref>, <xref ref-type="bibr" rid="b124-ijms-10-00062">124</xref>, <xref ref-type="bibr" rid="b184-ijms-10-00062">184</xref>]. However, the pioneer LC-UV-MS screening method [<xref ref-type="bibr" rid="b189-ijms-10-00062">189</xref>] remains unsurpassed by its 474-compound database of mycotoxins and other fungal metabolites, albeit providing only qualitative data.</p></sec>
<sec>
<title>4.2. High performance liquid chromatography with fluorescence detection (HPLC-FL)</title>
<p>Fluorescence detection is by its nature highly specific and sensitive. Several well-established, reliable, robust and sensitive LC methods with fluorescence detection exist especially for the determination of mycotoxins with natural fluorescence, e.g. aflatoxins, ochratoxin A, citrinin [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>] and many of them have been established as the official AOAC methods. For the others, pre- or post-column derivatization with suitable reagents has been widely applied, but has been recently superseded by relative simplicity, but comparative specificity of LC-MS methods after the lower cost has made these instruments available to most laboratories. Nevertheless, LC-FL might still be superior in the area of quantitative determination, where the influence of matrix is negligible compared to possible problems with LC-MS quantification [<xref ref-type="bibr" rid="b141-ijms-10-00062">141</xref>].</p>
<p>In spite of its specificity for the fluorescing compounds, they have to be well separated on the chromatographic column to enable a reliable quantification. Usually, a reverse-phase stationary phase is used, e.g. C<sub>18</sub>. Base deactivation additionally improves peak shape for polar mycotoxins with carboxylic groups: citrinin, OTA, some fumonisins [<xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>]. Ion-pair HPLC has also been applied for the polar toxins, using tetrabutylammonium hydroxide [<xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>]. Mobile phase should be composed of acidic aqueous phase (acetic acid, trifluoroacetic acid, acidic buffer) to prevent ionization of carboxylic groups, and gradient with methanol or acetonitrile is preferred [<xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>].</p>
<p>Ochratoxin A is probably the mycotoxin most often determined by HPLC-FL. Most authors use the octadecylsilica stationary phase and isocratic mobile phase composed of acetonitrile and water acidified with acetic acid (approx. 1:1) [<xref ref-type="bibr" rid="b99-ijms-10-00062">99</xref>, <xref ref-type="bibr" rid="b112-ijms-10-00062">112</xref>, <xref ref-type="bibr" rid="b190-ijms-10-00062">190</xref>–<xref ref-type="bibr" rid="b193-ijms-10-00062">193</xref>]. Retention time for OTA is below 15 min under these conditions. Alternatively, a phenylhexyl column is chosen [<xref ref-type="bibr" rid="b31-ijms-10-00062">31</xref>]; methanol is sometimes used instead of acetonitrile [<xref ref-type="bibr" rid="b194-ijms-10-00062">194</xref>] or a mixture of both [<xref ref-type="bibr" rid="b195-ijms-10-00062">195</xref>]. Mobile phase is usually slightly acidified with acids, but pH may not be stable; therefore some authors prefer the use of acidic buffers [<xref ref-type="bibr" rid="b195-ijms-10-00062">195</xref>, <xref ref-type="bibr" rid="b196-ijms-10-00062">196</xref>]. Medina <italic>et al.</italic> [<xref ref-type="bibr" rid="b134-ijms-10-00062">134</xref>] published a thorough investigation on suitability of various isocratic mixtures for OTA separation and found methanol unsuitable. Peak for OTA was wide and tailing if pH of mobile phase was above 3.5; it was therefore necessary to use phosphoric acid for acidification [<xref ref-type="bibr" rid="b134-ijms-10-00062">134</xref>]. Fluorescence is usually measured at λ<sub>ex</sub> 330–334 nm and λ<sub>em</sub> 460–464 nm [<xref ref-type="bibr" rid="b99-ijms-10-00062">99</xref>, <xref ref-type="bibr" rid="b112-ijms-10-00062">112</xref>, <xref ref-type="bibr" rid="b134-ijms-10-00062">134</xref>, <xref ref-type="bibr" rid="b190-ijms-10-00062">190</xref>–<xref ref-type="bibr" rid="b194-ijms-10-00062">194</xref>], but some authors use lower excitation wavelengths 225 nm [<xref ref-type="bibr" rid="b195-ijms-10-00062">195</xref>] or 247 nm [<xref ref-type="bibr" rid="b196-ijms-10-00062">196</xref>] and different emission wavelength of 480 nm [<xref ref-type="bibr" rid="b196-ijms-10-00062">196</xref>]. There is little variation in the chromatographic conditions, but some innovative approaches include automatization of the analytical procedure [<xref ref-type="bibr" rid="b197-ijms-10-00062">197</xref>], and inclusion of cyclodextrins [<xref ref-type="bibr" rid="b198-ijms-10-00062">198</xref>] or post-column ammoniation [<xref ref-type="bibr" rid="b199-ijms-10-00062">199</xref>] to enhance fluorescence. Most publications, however, focus on the sample pretreatment methods to minimize the matrix interferences. Besides the immunoaffinity clean-up [<xref ref-type="bibr" rid="b29-ijms-10-00062">29</xref>, <xref ref-type="bibr" rid="b99-ijms-10-00062">99</xref>, <xref ref-type="bibr" rid="b112-ijms-10-00062">112</xref>, <xref ref-type="bibr" rid="b190-ijms-10-00062">190</xref>, <xref ref-type="bibr" rid="b192-ijms-10-00062">192</xref>, <xref ref-type="bibr" rid="b193-ijms-10-00062">193</xref>], conventional SPE is used [<xref ref-type="bibr" rid="b31-ijms-10-00062">31</xref>, <xref ref-type="bibr" rid="b112-ijms-10-00062">112</xref>, <xref ref-type="bibr" rid="b194-ijms-10-00062">194</xref>, <xref ref-type="bibr" rid="b196-ijms-10-00062">196</xref>]. Other sample preparation approaches are sometimes applied, such as on-line SPE [<xref ref-type="bibr" rid="b118-ijms-10-00062">118</xref>], extract cleaning with lead hydroxyacetate [<xref ref-type="bibr" rid="b134-ijms-10-00062">134</xref>], solid-phase microextraction [<xref ref-type="bibr" rid="b126-ijms-10-00062">126</xref>, <xref ref-type="bibr" rid="b191-ijms-10-00062">191</xref>] and coacervative extraction [<xref ref-type="bibr" rid="b130-ijms-10-00062">130</xref>]. In spite of clean-up, coeluting substances may appear in the chromatograms when dealing with complicated matrix [<xref ref-type="bibr" rid="b190-ijms-10-00062">190</xref>]. In such cases, confirmation of OTA identity is accomplished by derivatization to fluorescing methyl-OTA with longer retention times [<xref ref-type="bibr" rid="b112-ijms-10-00062">112</xref>, <xref ref-type="bibr" rid="b190-ijms-10-00062">190</xref>, <xref ref-type="bibr" rid="b192-ijms-10-00062">192</xref>, <xref ref-type="bibr" rid="b194-ijms-10-00062">194</xref>] or with LC-MS [<xref ref-type="bibr" rid="b194-ijms-10-00062">194</xref>]. Practically all studies apply external calibration or sometimes standard addition method [<xref ref-type="bibr" rid="b192-ijms-10-00062">192</xref>], internal standards being rarely used, e.g. diflunisal [<xref ref-type="bibr" rid="b200-ijms-10-00062">200</xref>]. Compared to the vast number of articles dealing with HPLC-FL determination of OTA in various matrices, there are only rare publications dealing with similar compounds, e.g. ochratoxin B and metabolite ochratoxin α [<xref ref-type="bibr" rid="b201-ijms-10-00062">201</xref>, <xref ref-type="bibr" rid="b202-ijms-10-00062">202</xref>].</p>
<p>Aflatoxins possess natural fluorescence as well, at least AFB2 and AFG2, while AFB1 and AFG1 (see <xref ref-type="fig" rid="f1-ijms-10-00062">Figure 1</xref>) have to be derivatized to enhance their fluorescence [<xref ref-type="bibr" rid="b13-ijms-10-00062">13</xref>, <xref ref-type="bibr" rid="b103-ijms-10-00062">103</xref>, <xref ref-type="bibr" rid="b108-ijms-10-00062">108</xref>, <xref ref-type="bibr" rid="b111-ijms-10-00062">111</xref>, <xref ref-type="bibr" rid="b119-ijms-10-00062">119</xref>, <xref ref-type="bibr" rid="b203-ijms-10-00062">203</xref>, <xref ref-type="bibr" rid="b204-ijms-10-00062">204</xref>]. The most usual is derivatization to their hemiacetal form prior to chromatographic separation, using trifluoroacetic acid [<xref ref-type="bibr" rid="b13-ijms-10-00062">13</xref>, <xref ref-type="bibr" rid="b103-ijms-10-00062">103</xref>, <xref ref-type="bibr" rid="b108-ijms-10-00062">108</xref>, <xref ref-type="bibr" rid="b119-ijms-10-00062">119</xref>, <xref ref-type="bibr" rid="b203-ijms-10-00062">203</xref>, <xref ref-type="bibr" rid="b204-ijms-10-00062">204</xref>], although post-column derivatization with pyridinium hydrobromide perbromide has been applied as well [<xref ref-type="bibr" rid="b111-ijms-10-00062">111</xref>]. Fluorescence detection is accomplished at λ<sub>ex</sub> 360–370 nm and λ<sub>em</sub> 418–425 nm [<xref ref-type="bibr" rid="b13-ijms-10-00062">13</xref>, <xref ref-type="bibr" rid="b14-ijms-10-00062">14</xref>, <xref ref-type="bibr" rid="b108-ijms-10-00062">108</xref>] or 435–440 nm [<xref ref-type="bibr" rid="b103-ijms-10-00062">103</xref>, <xref ref-type="bibr" rid="b111-ijms-10-00062">111</xref>, <xref ref-type="bibr" rid="b119-ijms-10-00062">119</xref>, <xref ref-type="bibr" rid="b203-ijms-10-00062">203</xref>, <xref ref-type="bibr" rid="b205-ijms-10-00062">205</xref>]. The usual chromatographic conditions are reverse-phase (C<sub>18</sub>) column and isocratic mobile phase consisting of 20–50 % organic solvent, usually a mixture of methanol and acetonitrile, and water [<xref ref-type="bibr" rid="b13-ijms-10-00062">13</xref>, <xref ref-type="bibr" rid="b103-ijms-10-00062">103</xref>, <xref ref-type="bibr" rid="b108-ijms-10-00062">108</xref>, <xref ref-type="bibr" rid="b119-ijms-10-00062">119</xref>, <xref ref-type="bibr" rid="b203-ijms-10-00062">203</xref>, <xref ref-type="bibr" rid="b205-ijms-10-00062">205</xref>]. Some authors use aqueous phase acidified with phosphoric acid [<xref ref-type="bibr" rid="b14-ijms-10-00062">14</xref>, <xref ref-type="bibr" rid="b111-ijms-10-00062">111</xref>]. The determination is frequently performed together with OTA determination. A step-wise gradient is usually applied, switching to isocratic mobile phase suitable for OTA elution after aflatoxins have been eluted (12–20 min) [<xref ref-type="bibr" rid="b13-ijms-10-00062">13</xref>, <xref ref-type="bibr" rid="b14-ijms-10-00062">14</xref>, <xref ref-type="bibr" rid="b103-ijms-10-00062">103</xref>, <xref ref-type="bibr" rid="b111-ijms-10-00062">111</xref>, <xref ref-type="bibr" rid="b203-ijms-10-00062">203</xref>]. Considerable accent has been put on sample preparation rather than chromatographic separation, which seems to be non-problematic. Besides immunoaffinity clean-up [<xref ref-type="bibr" rid="b14-ijms-10-00062">14</xref>, <xref ref-type="bibr" rid="b29-ijms-10-00062">29</xref>, <xref ref-type="bibr" rid="b103-ijms-10-00062">103</xref>, <xref ref-type="bibr" rid="b108-ijms-10-00062">108</xref>, <xref ref-type="bibr" rid="b111-ijms-10-00062">111</xref>, <xref ref-type="bibr" rid="b203-ijms-10-00062">203</xref>–<xref ref-type="bibr" rid="b205-ijms-10-00062">205</xref>] there are some new approaches, e.g. automation of this procedure [<xref ref-type="bibr" rid="b111-ijms-10-00062">111</xref>], use of immunoaffinity monolithic discs (CIM) for on-line extraction [<xref ref-type="bibr" rid="b105-ijms-10-00062">105</xref>], SPE on silica columns [<xref ref-type="bibr" rid="b206-ijms-10-00062">206</xref>] or matrix solid-phase dispersion (MSPD) extraction [<xref ref-type="bibr" rid="b119-ijms-10-00062">119</xref>]. Airborne aflatoxins and OTA have been collected in water by passing air through it, followed by immunoaffinity clean-up [<xref ref-type="bibr" rid="b14-ijms-10-00062">14</xref>] or sampled on microfibre filter subsequently extracted with organic solvents [<xref ref-type="bibr" rid="b13-ijms-10-00062">13</xref>]. Again, there are relatively few methods published for the determination of the metabolite aflatoxin M1 [<xref ref-type="bibr" rid="b29-ijms-10-00062">29</xref>, <xref ref-type="bibr" rid="b205-ijms-10-00062">205</xref>].</p>
<p><italic>Fusarium</italic> mycotoxins, important pollutants in various foodstuffs, do not fluoresce and have to be derivatized, usually before chromatographic separation. With fumonisins, the reaction site is the primary amino group and the reagent most often used is <italic>o</italic>-phthaldialdehyde (OPA) with 2-mercaptoethanol [<xref ref-type="bibr" rid="b35-ijms-10-00062">35</xref>, <xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b51-ijms-10-00062">51</xref>, <xref ref-type="bibr" rid="b139-ijms-10-00062">139</xref>, <xref ref-type="bibr" rid="b207-ijms-10-00062">207</xref>–<xref ref-type="bibr" rid="b212-ijms-10-00062">212</xref>]. The resulting derivate is highly fluorescing (λ<sub>ex</sub> 335 nm, λ<sub>em</sub> 440 nm), but stable only for 4 min [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>, <xref ref-type="bibr" rid="b139-ijms-10-00062">139</xref>]. As an alternative to 2-mercaptoethanol as reaction partner for OPA, <italic>N</italic>-acetyl-cystein has been identified as the most suitable [<xref ref-type="bibr" rid="b211-ijms-10-00062">211</xref>]. Various other derivatization reagents have been tested: fluorescamine, naphthalene-2,3-dicarboxaldehyde (NDA), 4-fluoro-7-nitrobenzofurazan (NBD-F), dansyl chloride, 9-fluorenylmethyl chloroformate (FMOC), 6-amino-quinolyl <italic>N</italic>-hydroxysuccinimidylcarbamate, fluorescein isothiocyanate (FITC) with different stabilities and sensitivity of detection [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>, <xref ref-type="bibr" rid="b139-ijms-10-00062">139</xref>]. NDA derivatives appear to be the most promising alternative [<xref ref-type="bibr" rid="b212-ijms-10-00062">212</xref>]. The column for the chromatographic separation of the derivatized fumonisins is reverse-phase (C<sub>18</sub> or phenylhexyl), but as the compounds still have four carboxylic groups, strongly acidic mobile phase is needed to obtain good peak shape [<xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>]. Usual mixtures are composed of methanol or acetonitrile and acidic buffer at pH approx. 3.5 [<xref ref-type="bibr" rid="b35-ijms-10-00062">35</xref>, <xref ref-type="bibr" rid="b207-ijms-10-00062">207</xref>, <xref ref-type="bibr" rid="b208-ijms-10-00062">208</xref>], isocratic or linear gradient. Native fumonisins can be separated on ion-pair column and derivatized post-columnally with OPA and <italic>N</italic>-acetyl-cystein [<xref ref-type="bibr" rid="b139-ijms-10-00062">139</xref>]. Immunoaffinity [<xref ref-type="bibr" rid="b139-ijms-10-00062">139</xref>, <xref ref-type="bibr" rid="b208-ijms-10-00062">208</xref>, <xref ref-type="bibr" rid="b209-ijms-10-00062">209</xref>, <xref ref-type="bibr" rid="b212-ijms-10-00062">212</xref>] or SPE on C<sub>18</sub> and SAX columns [<xref ref-type="bibr" rid="b139-ijms-10-00062">139</xref>, <xref ref-type="bibr" rid="b207-ijms-10-00062">207</xref>, <xref ref-type="bibr" rid="b210-ijms-10-00062">210</xref>] are applied prior to HPLC. Methods for the metabolites, e.g. aminopentol-1, are seldom published, but use essentially the same procedure [<xref ref-type="bibr" rid="b207-ijms-10-00062">207</xref>].</p>
<p>Trichothecenes, another important group of <italic>Fusarium</italic> mycotoxins, are amenable to GC analysis with and without derivatization, therefore this has been the most frequently applied method. The latter is applicable only to less polar compounds, e.g. T-2 toxin, 4,15-diacetoxyscirpenol [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>]. However, some methods employing derivatization to fluorescing products and subsequent HPLC-FL analysis have also been published. One of the first was a post-column degradation of DON and nivalenol to formaldehyde by sodium hydroxide, followed by the formation of fluorescent derivate from reaction with acetoacetate and ammonium acetate [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>]. Method was later extended to other type-B trichothecenes [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>], but is quite experimentally demanding [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>]. Coumarin-3-carbonyl chloride is the most often used reagent for off-line derivatization of type-A and B trichothecenes prior to HPLC [<xref ref-type="bibr" rid="b209-ijms-10-00062">209</xref>, <xref ref-type="bibr" rid="b213-ijms-10-00062">213</xref>–<xref ref-type="bibr" rid="b215-ijms-10-00062">215</xref>]. The derivatives are then separated on reverse-phase columns using a mixture of acetonitrile and water acidified with acetic acid. High percentages of acetonitrile should be present (&gt; 60 %) [<xref ref-type="bibr" rid="b209-ijms-10-00062">209</xref>, <xref ref-type="bibr" rid="b213-ijms-10-00062">213</xref>, <xref ref-type="bibr" rid="b215-ijms-10-00062">215</xref>]. Methanol may be used as well [<xref ref-type="bibr" rid="b214-ijms-10-00062">214</xref>]. Fluorescence detection is performed at λ<sub>ex</sub> 292 nm and λ<sub>em</sub> 425 nm. Excess reagent peaks might interfere with the detection, so it is advisable to perform clean-up after derivatization [<xref ref-type="bibr" rid="b213-ijms-10-00062">213</xref>]. Alternative derivatizing reagents include 1-anthroylnitrile, where products are separated under similar conditions as above and detected at λ<sub>ex</sub> 381 nm and λ<sub>em</sub> 470 nm [<xref ref-type="bibr" rid="b106-ijms-10-00062">106</xref>]; zirconyl nitrate and ethylenediamine, although in this method no HPLC separation was performed [<xref ref-type="bibr" rid="b72-ijms-10-00062">72</xref>]; pyrene-1-carbonyl cyanide for T-2 toxin in the presence of cyclodextrins [<xref ref-type="bibr" rid="b198-ijms-10-00062">198</xref>]. In spite of these efforts, HPLC-UV [<xref ref-type="bibr" rid="b215-ijms-10-00062">215</xref>] and more recently LC-MS [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>] are more frequently applied because of relative simplicity and comparable or better sensitivity.</p>
<p>Zearalenone and zearalenols are compounds with native fluorescence. Common HPLC-FL methods thus include separation on C<sub>18</sub> column with mobile phase with high percentage of organic solvent and detection at λ<sub>ex</sub> 270–280 nm and λ<sub>em</sub> 440 nm or 452 nm [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b45-ijms-10-00062">45</xref>, <xref ref-type="bibr" rid="b93-ijms-10-00062">93</xref>, <xref ref-type="bibr" rid="b116-ijms-10-00062">116</xref>, <xref ref-type="bibr" rid="b209-ijms-10-00062">209</xref>]. Fluorescence can be further enhanced by cyclodextrins [<xref ref-type="bibr" rid="b189-ijms-10-00062">189</xref>]. The main emphasis of method development is on the extraction and clean-up of samples before the analysis, mostly using immunoaffinity columns [<xref ref-type="bibr" rid="b14-ijms-10-00062">14</xref>, <xref ref-type="bibr" rid="b116-ijms-10-00062">116</xref>, <xref ref-type="bibr" rid="b209-ijms-10-00062">209</xref>]. Alternative approach was accelerated solvent extraction without further clean-up [<xref ref-type="bibr" rid="b93-ijms-10-00062">93</xref>]. While HPLC-FL was still the method of choice for zearalenone seven years ago [<xref ref-type="bibr" rid="b140-ijms-10-00062">140</xref>], it has now been superseded by LC-MS methods [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b145-ijms-10-00062">145</xref>].</p>
<p>Citrinin, a mycotoxin produced by different fungal genera, has acidic properties and is in its non-dissociated form a fluorescing compound (λ<sub>ex</sub> 320–340 nm and λ<sub>em</sub> 495–512 nm) [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>]. Chromatographic separation has been achieved on normal-phase columns, reverse-phase and reverse-phase ion-pair stationary phase [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>, <xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>]. The first method suffers from low retention time reproducibility [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>]. In reverse-phase chromatography, mobile phase has to be acidic, while acetonitrile is preferable to methanol to achieve better sensitivity. It is quite difficult to achieve good peak shape for citrinin [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>]. Thus, ion-pair RP with tetrabutylammonium hydroxide or phosphate yields the best chromatographic results, but the eluate has to be acidified prior to detection in order to enhance the sensitivity, as the anionic form of citrinin does not fluoresce [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>, <xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>]. Due to the similar chromatographic behavior and fluorescent properties, as well as frequent occurrence in the same type of samples, methods for simultaneous determination of citrinin and ochratoxin A are sometimes encountered [<xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>, <xref ref-type="bibr" rid="b216-ijms-10-00062">216</xref>]. Ergot alkaloids are also sometimes analyzed by HPLC-FL. The published methods are dealing only with determination of ergovaline in various matrices [<xref ref-type="bibr" rid="b217-ijms-10-00062">217</xref>–<xref ref-type="bibr" rid="b219-ijms-10-00062">219</xref>]. This toxin has the native fluorescence (λ<sub>ex</sub> 250 nm, λ<sub>em</sub> 420 nm) and can be separated on reverse-phase column using isocratic mobile phase. Ergotamine may be used as an internal standard [<xref ref-type="bibr" rid="b218-ijms-10-00062">218</xref>, <xref ref-type="bibr" rid="b219-ijms-10-00062">219</xref>].</p>
<p>In spite of some obvious advantages of fluorescence detection, such as excellent specificity, low limits of detection, robustness and independence from matrix, HPLC-FL methods have been mostly swept away by LC-MS. The main advantage of the later is in its identification power and possibility to perform determination of multiple analytes from different chemical groups in the same run. Thus, it is expected that the development of methods employing fluorescent detection of mycotoxins has at least temporarily stopped.</p></sec>
<sec>
<title>4.3. High performance liquid chromatography with other types of detection</title>
<p>Compared to the mass spectrometric and fluorescence detection, all other detections available in HPLC are seldom used in mycotoxin analysis. The reasons might be in higher limits of detection unsuitable for trace amounts of the determined substances, and lack of specificity for some of detectors.</p>
<p>A large database of mass spectrometric and UV absorption data for 474 different mycotoxins and other fungal metabolites has been published by Nielsen and Smedsgaard [<xref ref-type="bibr" rid="b189-ijms-10-00062">189</xref>]. As can be seen from it, most of the important mycotoxins presented in this review do not absorb in the UV part of spectra at all (e.g. most of trichothecenes, enniatins, fumonisins) or absorb only at rather non-specific wavelengths 200–225 nm (e.g. DON and its derivatives, ochratoxins, some zearalenone analogues) [<xref ref-type="bibr" rid="b189-ijms-10-00062">189</xref>].</p>
<p>HPLC methods for the determination of <italic>Fusarium</italic> mycotoxins using UV detection have been published for deoxynivalenol (λ 218 nm) [<xref ref-type="bibr" rid="b220-ijms-10-00062">220</xref>–<xref ref-type="bibr" rid="b222-ijms-10-00062">222</xref>]; for nivalenol, DON and some of its derivatives [<xref ref-type="bibr" rid="b223-ijms-10-00062">223</xref>] or for several type-B trichothecenes (diode-array, λ 221 nm) [<xref ref-type="bibr" rid="b215-ijms-10-00062">215</xref>]. In the latter method, UV detection gave better results than FLD of coumarin-3-carbonyl derivatives [<xref ref-type="bibr" rid="b215-ijms-10-00062">215</xref>]. Method with simultaneous UV and FL detection of trichothecenes type-B, OTA, zearalenone and citrinin was also developed [<xref ref-type="bibr" rid="b216-ijms-10-00062">216</xref>]. Better sensitivity for DON and other type-B trichothecenes can be achieved by electrochemical detection in reductive mode or by derivatization with <italic>p</italic>-nitrobenzoyl chloride and subsequent UV detection at 254 nm [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>]. Zearalenone and its metabolites are also amenable to UV detection, e.g. at λ 236 nm [<xref ref-type="bibr" rid="b209-ijms-10-00062">209</xref>, <xref ref-type="bibr" rid="b224-ijms-10-00062">224</xref>]. Alternative mode of detection is amperometric [<xref ref-type="bibr" rid="b71-ijms-10-00062">71</xref>]. Fumonisins do not absorb UV radiation, but evaporative light scattering detector (ELSD) has been applied in their analysis [<xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>, <xref ref-type="bibr" rid="b225-ijms-10-00062">225</xref>].</p>
<p>Ochratoxin A, routinely analyzed by HPLC-FL, can also be detected with UV (photodiode-array) detector at 333 nm. Its presence was confirmed by peak shift after esterification with BF<sub>3</sub> [<xref ref-type="bibr" rid="b226-ijms-10-00062">226</xref>].</p>
<p>Patulin is a mycotoxin perfectly amenable to HPLC (reverse-phase) with UV detection because of its strong UV absorption - λ<sub>max</sub> 276 nm [<xref ref-type="bibr" rid="b25-ijms-10-00062">25</xref>, <xref ref-type="bibr" rid="b189-ijms-10-00062">189</xref>]. Therefore, some methods have been published [<xref ref-type="bibr" rid="b25-ijms-10-00062">25</xref>, <xref ref-type="bibr" rid="b227-ijms-10-00062">227</xref>], but particular care has to be taken to separate patulin from 5-hydroxymethylfurfural, a coeluting compound of non-fungal origin commonly appearing in deteriorating fruit juices [<xref ref-type="bibr" rid="b25-ijms-10-00062">25</xref>, <xref ref-type="bibr" rid="b228-ijms-10-00062">228</xref>].</p>
<p>Cyclopiazonic acid exhibits strong UV absorption at cca. 280 nm, therefore some methods for its determination by HPLC-UV (photodiode-array) have been published. Separation and peak shape might be problematic because of the acidic nature of the analyte, but were nevertheless plausible on C<sub>18</sub> column using a gradient of solvent containing ZnSO<sub>4</sub> [<xref ref-type="bibr" rid="b20-ijms-10-00062">20</xref>]. Another possibility is an aminopropyl-bonded silica as a stationary phase and mobile phase, composed of acetonitrile and ammonium acetate. In this case separation is accomplished by mixed ion-exchange and reverse-phase mechanisms [<xref ref-type="bibr" rid="b27-ijms-10-00062">27</xref>, <xref ref-type="bibr" rid="b229-ijms-10-00062">229</xref>].</p>
<p>LC-UV methods for other mycotoxins are not frequently published. Mycophenolic acid in cheese was determined on aminopropyl-silica column with mobile phase at neutral pH and 80 % of organic solvent using a previous extraction with solid-phase microextraction. Detection wavelength was 254 nm [<xref ref-type="bibr" rid="b23-ijms-10-00062">23</xref>]. Roquefortine C in cheese was analyzed by on-line extraction and separation on C<sub>18</sub> column, λ 330 nm [<xref ref-type="bibr" rid="b24-ijms-10-00062">24</xref>]. <italic>Alternaria</italic> mycotoxins can be separated on reverse-phase column with UV detection at 240–260 nm [<xref ref-type="bibr" rid="b230-ijms-10-00062">230</xref>]. Citrinin exhibits maximal UV absorbance at non-specific 216 nm. Although LC-UV methods exist for its determination, other methods are preferable [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>].</p></sec>
<sec>
<title>4.4. Gas chromatography (GC)</title>
<p>Modern gas chromatography combines superior separation on the capillary columns with a variety of general and specific detectors. The obvious disadvantage when compared to LC is the fact that only thermally stable and volatile analytes can be analyzed, although this problem can partially be solved by derivatization. However, as mycotoxins are generally speaking rather large and polar molecules, they are better amenable to LC and GC methods are not common.</p>
<p>Of the published GC methods prevail those developed for trichothecenes and other <italic>Fusarium</italic> toxins [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>, <xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>]. Onji <italic>et al.</italic> [<xref ref-type="bibr" rid="b135-ijms-10-00062">135</xref>] report on analysis of native compounds (zearalenone, DON, T-2 toxin and others) using cool on-column injection and there are other reports on direct analysis [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>, <xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>], although adsorption of more polar mycotoxins to column has been observed [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>]. An obvious advantage is the combination with MS detection, as the identity of compounds can be confirmed [<xref ref-type="bibr" rid="b135-ijms-10-00062">135</xref>], which is especially important in the analysis of metabolites [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>]. Direct analysis of T-2 toxin using a GC-GC tandem system for sequential extraction and separation was also accomplished [<xref ref-type="bibr" rid="b132-ijms-10-00062">132</xref>]. Most researchers, however, prefer to derivatize mycotoxins to enhance their volatility and decrease polarity. In trichothecenes, hydroxyl groups are usually derivatized to trimethylsilyl (TMS) [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>, <xref ref-type="bibr" rid="b231-ijms-10-00062">231</xref>, <xref ref-type="bibr" rid="b232-ijms-10-00062">232</xref>] or trifluoroacetyl (TFA) derivatives [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>, <xref ref-type="bibr" rid="b233-ijms-10-00062">233</xref>]. Other reagents yielding pentafluoropropionyl (PFP), heptafluorobutyryl (HFB), trimethylchlorosilyl (TMCS) derivatives and commercial mixtures in various combinations are also used [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>, <xref ref-type="bibr" rid="b234-ijms-10-00062">234</xref>]. Introduction of halogens into the molecule renders it detectable by electron capture detector (ECD), which is highly selective and sensitive [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>, <xref ref-type="bibr" rid="b223-ijms-10-00062">223</xref>]. Other detectors for any type of derivatives or native compounds include flame ionization detector (FID) [<xref ref-type="bibr" rid="b232-ijms-10-00062">232</xref>] and most often mass spectrometer (MS) with electron ionization (EI) [<xref ref-type="bibr" rid="b135-ijms-10-00062">135</xref>, <xref ref-type="bibr" rid="b231-ijms-10-00062">231</xref>, <xref ref-type="bibr" rid="b232-ijms-10-00062">232</xref>] or chemical ionization [<xref ref-type="bibr" rid="b233-ijms-10-00062">233</xref>]. Fluoroacyl derivatives are amenable to negative chemical ionization (NICI) as well [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>]. However, unknown trichothecenes or metabolites are difficult to identify from their MS spectra if they are derivatized [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>, <xref ref-type="bibr" rid="b235-ijms-10-00062">235</xref>]. Other <italic>Fusarium</italic> toxins may be derivatized and analyzed by roughly the same procedure, using GC-MS: e.g. fusaproliferin [<xref ref-type="bibr" rid="b234-ijms-10-00062">234</xref>], RALs [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b235-ijms-10-00062">235</xref>]. GC methods for fumonisins have also been published. The protocol included hydrolysis of acidic side chains and their re-esterification or acylation of the remaining aminopolyol. Derivatives were subjected to GC-MS analysis, but none of the approaches was satisfactory in terms of compound identification [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>]. Analysis of TMS-fumonisins was also developed more than ten years ago [<xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>], but no further attempts were seen in this direction.</p>
<p>Published methods dealing with GC analysis of other than <italic>Fusarium</italic> mycotoxins are rather scarce. A method for ochratoxin A was developed, employing TMS-TFA derivatization and GC-MS, but it was deemed not suitable for routine quantitation [<xref ref-type="bibr" rid="b226-ijms-10-00062">226</xref>]. Some methods for patulin were published, mostly using derivatization to TMS-patulin and ECD or MS detection [<xref ref-type="bibr" rid="b25-ijms-10-00062">25</xref>, <xref ref-type="bibr" rid="b236-ijms-10-00062">236</xref>]. In another publication, acylation after diphasic dialysis extraction and GC-MS were proposed [<xref ref-type="bibr" rid="b129-ijms-10-00062">129</xref>]. Direct GC-MS of underivatized patulin was possible using on-column injection [<xref ref-type="bibr" rid="b25-ijms-10-00062">25</xref>]. Internal standards nitrobenzene [<xref ref-type="bibr" rid="b129-ijms-10-00062">129</xref>] or <sup>13</sup>C-labeled patulin [<xref ref-type="bibr" rid="b180-ijms-10-00062">180</xref>] were proposed. Finally, a GC-MS method without previous derivatization was proposed for citrinin [<xref ref-type="bibr" rid="b237-ijms-10-00062">237</xref>].</p></sec>
<sec sec-type="methods">
<title>4.5. Thin-layer chromatography (TLC) and other chromatographic methods</title>
<p>Thin-layer chromatography (TLC) is a low-cost, rapid analytical technique, yielding qualitative or semi-quantitative estimations by visual inspection, but with densitometric measurements also reliable quantitative results [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b69-ijms-10-00062">69</xref>, <xref ref-type="bibr" rid="b145-ijms-10-00062">145</xref>]. These methods were mostly developed before the great development and affordability of HPLC and LC-MS instruments and some were established as the official AOAC methods. Their many advantages include suitability for crude extract analysis, a wide choice of stationary and mobile phases, as well as an array of spraying agents used for the detection [<xref ref-type="bibr" rid="b69-ijms-10-00062">69</xref>]. In spite of that, TLC methods are now rarely used for other than screening purposes. Nevertheless, there are some more recent publications showing the interesting possibilities offered by this technique.</p>
<p>A TLC method with previous immunoaffinity clean-up and densitometric quantification has been developed for aflatoxins in food samples. Advantages of the method include fast sample processing and limits of quantification lower than established by regulatory organs [<xref ref-type="bibr" rid="b238-ijms-10-00062">238</xref>]. Overpressured-layer chromatography [<xref ref-type="bibr" rid="b239-ijms-10-00062">239</xref>], two-dimensional TLC and high performance TLC (HPTLC) are other possibilities for efficient separation and determination of aflatoxins [<xref ref-type="bibr" rid="b240-ijms-10-00062">240</xref>]. Sterigmatocystin, a precursor to aflatoxins, has been determined on amino-derivatized HPTLC plate and reagent-free (only heating) densitometric detection [<xref ref-type="bibr" rid="b241-ijms-10-00062">241</xref>].</p>
<p>While aflatoxins are naturally fluorescent compounds and their detection in TLC is not problematic, trichothecenes require post-development visualization with spraying reagents: <italic>p</italic>-anisaldehyde, 4-<italic>p</italic>-nitrobenzylpyridine [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>], and aluminum chloride for DON [<xref ref-type="bibr" rid="b242-ijms-10-00062">242</xref>]. Recent methods include quantitative determination of DON and T-2 toxin in cereals by high performance TLC [<xref ref-type="bibr" rid="b242-ijms-10-00062">242</xref>, <xref ref-type="bibr" rid="b243-ijms-10-00062">243</xref>]. Fumonisins have also been determined in corn using reverse-phase TLC plate, spraying with fluorescamine in borate buffer/acetonitrile mixture, and densitometric detection [<xref ref-type="bibr" rid="b244-ijms-10-00062">244</xref>]. In contrast to older methods [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>], this application has had acceptable limits of detection for routine analysis [<xref ref-type="bibr" rid="b244-ijms-10-00062">244</xref>]. In another method, fumonisin B1 has been analyzed by TLC after clean-up on ion-exchange column. The spraying reagent was <italic>p</italic>-anisaldehyde, detection was by laser-scanning densitometry [<xref ref-type="bibr" rid="b245-ijms-10-00062">245</xref>]. Zearalenone emits fluorescent light upon excitation. Quantitative methods are based on TLC with densitometry [<xref ref-type="bibr" rid="b246-ijms-10-00062">246</xref>] or HPTLC [<xref ref-type="bibr" rid="b247-ijms-10-00062">247</xref>]. Moniliformin, a low molecular weight <italic>Fusarium</italic> mycotoxin, can also be determined by TLC and visualized by 3-methyl-2-benzothiazolinone hydrazone (MBTH) or 2,4-dinitrophenylhydrazine with low limits of detection [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>].</p>
<p>TLC determination of ochratoxin A (native fluorescence-densitometric detection) was compared to different HPLC methods. Recoveries for the TLC method were lower than average of HPLC methods [<xref ref-type="bibr" rid="b99-ijms-10-00062">99</xref>]. There hasn’t been much development in recent years for the TLC methods for patulin. Generally, the analyte has to be visualized by MBTH or ammonia fumes. Separation from the commonly present contaminant in apple juice, 5-hydroxymethylfurfural, was often problematic [<xref ref-type="bibr" rid="b25-ijms-10-00062">25</xref>]. The situation with citrinin is similar, as the TLC methods used before the expansion of HPLC-based protocols were generally not sensitive enough. Citrinin was visualized by exposure to aluminum chloride, pyridine or acetic anhydride. Silica plates had to be impregnated with acid to achieve symmetrical spots [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>].</p>
<p>Other chromatographic techniques besides HPLC, GC and TLC are a rarity in mycotoxin analysis. Moniliformin from maize plants was separated by hydrophilic interaction chromatography (HILIC). Detection was accomplished by UV detector at 229 nm and with negative-mode electrospray mass spectrometer (ESI(−)-MS) [<xref ref-type="bibr" rid="b248-ijms-10-00062">248</xref>]. Combination stationary phases operating both through RP-hydrophobic and hydrophilic interactions are expected to find broader application in the future due to good retention of neutral, acidic and basic compounds. They are especially well suited for multi-toxin LC-MS/MS methods where a great number of chemically diverse mycotoxins should be separated in a single chromatographic run [<xref ref-type="bibr" rid="b249-ijms-10-00062">249</xref>]. Trichothecene analyses in fungal cultures were performed by supercritical fluid chromatography (SFC) and electron ionization MS detection (EI MS) in the heyday of this technique, but there were no further developments [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>]. High-speed counter-current chromatography (HSCCC) has been used as a preparative rather than analytical technique for isolation of altertoxin I from <italic>Alternaria</italic> species [<xref ref-type="bibr" rid="b250-ijms-10-00062">250</xref>] or some novel fungal compounds from <italic>Penicillium</italic> species [<xref ref-type="bibr" rid="b251-ijms-10-00062">251</xref>].</p></sec>
<sec sec-type="methods">
<title>4.6. Capillary electrophoretic (CE) methods</title>
<p>In spite of the great separation power and versatility of capillary electrophoretic (CE) techniques, they have never gained such popularity as HPLC, although the same analytes can be determined with CE and the same detectors can be used. Possible explanation might be in better detection limits and greater user-friendliness of HPLC methods.</p>
<p>Achieving low enough detection limits might present a serious problem in CE, therefore the mycotoxins for which CE methods have been developed are mostly those for which fluorescence detection (FL) can be used. Ochratoxin A was determined by CE-laser induced fluorescence (LIF) in human serum [<xref ref-type="bibr" rid="b55-ijms-10-00062">55</xref>], food samples after immunoaffinity clean-up [<xref ref-type="bibr" rid="b252-ijms-10-00062">252</xref>], and in wine after combined extraction with SPE and supported liquid membrane [<xref ref-type="bibr" rid="b131-ijms-10-00062">131</xref>]. Capillary zone electrophoresis (CZE) coupled to LIF was applied to OTA analysis in house dust [<xref ref-type="bibr" rid="b253-ijms-10-00062">253</xref>] and human serum [<xref ref-type="bibr" rid="b254-ijms-10-00062">254</xref>]. Aflatoxins in animal feed were determined by micellar electrokinetic capillary chromatography and FL [<xref ref-type="bibr" rid="b70-ijms-10-00062">70</xref>]. Cyclodextrins were applied to enhance native zearalenone fluorescence in CE-LIF analysis [<xref ref-type="bibr" rid="b255-ijms-10-00062">255</xref>], and for the same purpose in CE-LIF determination of T-2 toxin, which was previously derivatized with pyrene-1-carbonyl cyanide [<xref ref-type="bibr" rid="b198-ijms-10-00062">198</xref>]. Another detector commonly used in CE is UV-spectrometric. Methods have been developed for determination of patulin in apple juice, employing micellar electrokinetic capillary chromatography (MEKC) [<xref ref-type="bibr" rid="b256-ijms-10-00062">256</xref>] or microemulsion electrokinetic chromatography (MEEKC) [<xref ref-type="bibr" rid="b257-ijms-10-00062">257</xref>] and UV detection at 276 nm. Limits of detection were in the μg/L range, which is satisfactory for routine analysis. In contrast to the CE-FL methods for ochratoxin A mentioned above, UV detection of OTA after CE separation has given quantification limits that were too high for the analysis of real samples [<xref ref-type="bibr" rid="b195-ijms-10-00062">195</xref>].</p></sec>
<sec sec-type="methods">
<title>4.7. Other analytical methods</title>
<p>Applications of analytical methods other than separation or immunoaffinity-based techniques, e.g. to study the electrochemical behavior of mycotoxins [<xref ref-type="bibr" rid="b258-ijms-10-00062">258</xref>], are sometimes encountered, although the applied concentrations are too high to be applicable to trace analysis. The only other technique used in mycotoxin analysis in the food samples is ion mobility spectrometry (IMS). It has been applied to determination of aflatoxins in pistachios, the ionization method was corona discharge [<xref ref-type="bibr" rid="b259-ijms-10-00062">259</xref>]. Another example is the determination of zearalenone in maize samples by high-field asymmetric waveform ion mobility spectrometry - mass spectrometry (FAIMS-MS) with electrospray ionization [<xref ref-type="bibr" rid="b260-ijms-10-00062">260</xref>]. Both methods achieved good limits of detection.</p></sec></sec>
<sec>
<title>5. Determination of mycotoxins in various matrices</title>
<p>After the general overview of the screening, sample preparation, clean-up and analytical techniques, more detail on the published methods for the individual mycotoxins in various matrices is presented in <xref ref-type="table" rid="t2-ijms-10-00062">Table 2</xref>.</p>
<p>The main considerations when choosing the appropriate set of techniques suitable for the mycotoxin and the sample are the following: homogeneity of the sample is achieved with greater ease with liquid samples, to which also direct solid-phase extraction techniques may apply. For solid samples, however, the sample comminution and homogenization is the most crucial step to assure the representative sample. Extraction is then almost invariably performed by solvents, using either classical (Soxhlet) or novel approaches (PLE, SFE, MAE). Decision to clean-up the crude extract depends mainly on the type of matrix and presence of potentially interfering compounds, e.g. sugars, fatty acids etc., as well as detection mode. Finally, the choice of the analytical method depends mainly on the chemical characteristics of the mycotoxins.</p></sec>
<sec sec-type="methods">
<title>6. Pitfalls of mycotoxin analysis</title>
<p>Mycotoxin analysis presents several problems for the analytical chemistry, many of which have already been at least in part addressed in the previous sections. There is a formidable diversity of chemical structures and associated physico-chemical properties, and on the other hand a vast array of samples containing only trace amounts of these compounds, but a lot more of interfering substances. As we are dealing with an opponent that has to be respected, we feel it is necessary to reemphasize and elaborate on certain aspects of mycotoxin analysis that are exceedingly important for the final result. The accuracy of the latter is, as ever, dependent on the accuracy of the steps taken to obtain it [<xref ref-type="bibr" rid="b283-ijms-10-00062">283</xref>].</p>
<sec>
<title>6.1. Metabolites and other transformation products</title>
<p>Although grouped in the same subsection, there are several separate problems that have to be addressed here. The first question to be asked is: do we really determine all of the mycotoxins present in our sample by the chosen analytical method? Apart from the loss of the analytes during the sample preparation step and inaccurate analytical determination, which will be discussed later, the problem frequently arises from the fact that we are looking only for the free mycotoxins in the sample and forget about their various conjugates, which nevertheless cause the same or similar physiological impact when ingested. Conjugated mycotoxins result from the infected plant metabolism of the mycotoxins excreted by the infecting fungi [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>, <xref ref-type="bibr" rid="b158-ijms-10-00062">158</xref>]. Our knowledge of the mycotoxin identity stems mainly from their isolation from the laboratory-grown fungal cultures [<xref ref-type="bibr" rid="b189-ijms-10-00062">189</xref>], but metabolites formed in infected plants have been taken in consideration only recently and nicknamed “masked mycotoxins” [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>, <xref ref-type="bibr" rid="b158-ijms-10-00062">158</xref>]. As an example, at least 17 different metabolites/conjugates of zearalenone have been identified in the model plant [<xref ref-type="bibr" rid="b158-ijms-10-00062">158</xref>]. Detection and identification of novel metabolites in a complex mixture is a hard task, therefore protocols and computer algorithms are developed to aid in this process [<xref ref-type="bibr" rid="b284-ijms-10-00062">284</xref>]. Important conjugates in terms of frequent occurrence have been found for zearalenone [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>, <xref ref-type="bibr" rid="b157-ijms-10-00062">157</xref>], ochratoxin A, and DON in wheat and maize [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>]. Processing of foodstuffs, e.g. cooking and frying, is another source of mycotoxin conjugation [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>] or transformation [<xref ref-type="bibr" rid="b9-ijms-10-00062">9</xref>, <xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>, <xref ref-type="bibr" rid="b285-ijms-10-00062">285</xref>]. Fumonisin B1 was thus shown to react with sugars, amino acids and proteins during cooking [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>], while citrinin was transformed into more toxic product citrinin H1 [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>] and less toxic citrinin H2 [<xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>, <xref ref-type="bibr" rid="b285-ijms-10-00062">285</xref>], depending on the temperature of heating. Finally, mycotoxins can be degraded upon exposure to light, yielding products of unknown toxicity. This has been shown for roquefortine C in cheese [<xref ref-type="bibr" rid="b24-ijms-10-00062">24</xref>] and for ochratoxin A in wines [<xref ref-type="bibr" rid="b118-ijms-10-00062">118</xref>].</p>
<p>Determination of mycotoxins in food samples derived from animals (meat, dairy products, eggs) presents other challenges. Some mycotoxins exhibit very low carry-over from feed to animal products: DON, fumonisins, zearalenone [<xref ref-type="bibr" rid="b3-ijms-10-00062">3</xref>, <xref ref-type="bibr" rid="b282-ijms-10-00062">282</xref>], e.g. the transmission rate of DON to eggs was shown to be 15–29·10<sup>3</sup>:1 [<xref ref-type="bibr" rid="b274-ijms-10-00062">274</xref>]. Nevertheless, some metabolites have been identified, e.g. deepoxy-DON in pig urine [<xref ref-type="bibr" rid="b149-ijms-10-00062">149</xref>] or aminopentol-1, a fumonisin B1 metabolite, in swine liver [<xref ref-type="bibr" rid="b207-ijms-10-00062">207</xref>]. Zearalenone is metabolized primarily to α-zearalenol and β-zearalenol, but further into zeranol and taleranol [<xref ref-type="bibr" rid="b155-ijms-10-00062">155</xref>]. Subsequent metabolites include also α-zearalanol, β-zearalanol and possibly zearalanone [<xref ref-type="bibr" rid="b109-ijms-10-00062">109</xref>, <xref ref-type="bibr" rid="b286-ijms-10-00062">286</xref>], although the latter couldn’t be detected in all studies [<xref ref-type="bibr" rid="b155-ijms-10-00062">155</xref>]. Things get further complicated with zearalanone, because it has been used (and still is) as a very satisfactory internal standard in the mass spectrometric determination of zearalenone and its first metabolites [<xref ref-type="bibr" rid="b153-ijms-10-00062">153</xref>, <xref ref-type="bibr" rid="b154-ijms-10-00062">154</xref>] before it was known that it occurs in nature as well. Finally, a banned anabolic substance for farm animals zeranol also yields metabolites taleranol, zearalanone and zearalenols [<xref ref-type="bibr" rid="b160-ijms-10-00062">160</xref>].</p>
<p>Ergovaline, an <italic>Ergot</italic> mycotoxin, was shown to be excreted into milk only in a limited amount [<xref ref-type="bibr" rid="b219-ijms-10-00062">219</xref>], similarly to ochratoxin A, which accumulates mainly in blood, liver and kidney, but not in muscles [<xref ref-type="bibr" rid="b3-ijms-10-00062">3</xref>]. However, OTA is excreted in urine as a conjugate with glucuronic acid [<xref ref-type="bibr" rid="b287-ijms-10-00062">287</xref>].</p>
<p>One of the most important metabolites to be determined in animal samples is aflatoxin M1, occurring in milk and dairy products [<xref ref-type="bibr" rid="b29-ijms-10-00062">29</xref>, <xref ref-type="bibr" rid="b63-ijms-10-00062">63</xref>, <xref ref-type="bibr" rid="b205-ijms-10-00062">205</xref>, <xref ref-type="bibr" rid="b276-ijms-10-00062">276</xref>–<xref ref-type="bibr" rid="b278-ijms-10-00062">278</xref>]. Carry-over of aflatoxins has been estimated to 1–2 % [<xref ref-type="bibr" rid="b3-ijms-10-00062">3</xref>]. Unchanged aflatoxin B1 was excreted in eggs at transmission rate 5000:1 [<xref ref-type="bibr" rid="b275-ijms-10-00062">275</xref>]. In meat and meat products, other metabolites besides M1 have been detected: aflatoxin M2 and P1, aflatoxicol [<xref ref-type="bibr" rid="b108-ijms-10-00062">108</xref>].</p>
<p>Besides food and feed, other samples are of importance in mycotoxin analysis. Environmental samples are a potential source of contamination of plants and drinking water, but degradation products of mycotoxins may occur as well. In the survey of various real-life aqueous samples for zearalenone, it was present in drainage water from the infested field, but none of its metabolites were detected [<xref ref-type="bibr" rid="b156-ijms-10-00062">156</xref>]. In another research, degradation of zearalenone and OTA was studied in agricultural soils. Half-lives were about 10 days for ZON and below 1 day for OTA, but no degradation products were identified [<xref ref-type="bibr" rid="b32-ijms-10-00062">32</xref>]. Human biological fluids (blood, urine) are monitored for the presence of mycotoxins and their metabolites for the purpose of assessing and estimating the exposure of population [<xref ref-type="bibr" rid="b283-ijms-10-00062">283</xref>]. While native compounds are most frequently determined, metabolites - if known - can usually be better biomarkers of exposure [<xref ref-type="bibr" rid="b279-ijms-10-00062">279</xref>, <xref ref-type="bibr" rid="b283-ijms-10-00062">283</xref>, <xref ref-type="bibr" rid="b287-ijms-10-00062">287</xref>].</p></sec>
<sec>
<title>6.2. Choice of the representative sample</title>
<p>Sampling is an extremely important part of the overall analytical procedure in general, but even more so in the determination of mycotoxins. The reason is a highly heterogeneous distribution of analytes (“hot spots”) in the lot of food/feed commodities. Moreover, the sampling stage of the analysis directly influences the costs of the control procedure [<xref ref-type="bibr" rid="b283-ijms-10-00062">283</xref>]. In spite of the extreme importance of sampling, the laboratory performing the analysis usually has no influence on it [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>]. It has been estimated that the coefficient of variation (CV) in the determination of aflatoxin concentration in peanuts is between 60 % and 120 % for sampling, and only up to 20 % for subsampling and up to 10 % for the analysis [<xref ref-type="bibr" rid="b283-ijms-10-00062">283</xref>, <xref ref-type="bibr" rid="b288-ijms-10-00062">288</xref>]. Interestingly, DON determination in wheat showed lower CVs for sampling than for sample preparation in spite of small sample size (&lt; 0.5 kg) [<xref ref-type="bibr" rid="b289-ijms-10-00062">289</xref>]. It would therefore seem that sampling error might depend both on the type of sample and mycotoxin. The effects of improper sampling and subsequent inaccurate determination are either that unsuitable lots are put on the market (false negatives: risk for the consumers) or harmless lots withdrawn (false positives), presenting a financial burden for the producers [<xref ref-type="bibr" rid="b283-ijms-10-00062">283</xref>, <xref ref-type="bibr" rid="b288-ijms-10-00062">288</xref>].</p>
<p>Standardization of sampling procedures is therefore absolutely necessary to minimize the occurrence of both false positives and negatives [<xref ref-type="bibr" rid="b288-ijms-10-00062">288</xref>]. On the other hand, the sampling procedure should also be fast, cost-effective and easy to apply [<xref ref-type="bibr" rid="b290-ijms-10-00062">290</xref>]. Although most samples needed to be analyzed are from the food/feed lots waiting to be released on the market, sampling should not be forgotten elsewhere, e.g. in the research of mycotoxin contamination of grain from field to the consumer, where proper sampling procedures in each step also affect the final result [<xref ref-type="bibr" rid="b291-ijms-10-00062">291</xref>]. Some strategies to decrease the determination error associated with the sampling are reviewed below.</p>
<p>The simplest method to reduce sampling error is by increasing the sample size [<xref ref-type="bibr" rid="b288-ijms-10-00062">288</xref>], although this may be impractical. Another approach is to locate a considerable number of sites (&gt;100) in the lot and form an aggregate representative sample from these partial samples [<xref ref-type="bibr" rid="b283-ijms-10-00062">283</xref>]. This approach, however, requires a statistically correct sampling plan to cover the whole lot [<xref ref-type="bibr" rid="b290-ijms-10-00062">290</xref>]. Another problem with big samples is their subsequent homogenization and comminution in order to obtain a representative laboratory subsample. It has been shown that slurry mixing of samples results in lower CVs than dry milling [<xref ref-type="bibr" rid="b292-ijms-10-00062">292</xref>], although the obtained slurry presents problems for the disposal after the analysis [<xref ref-type="bibr" rid="b290-ijms-10-00062">290</xref>].</p>
<p>Some novel methods aim to avoid these difficulties by performing a more-or-less “sampling-free” screening. Lots deemed positive should be sampled and analyzed to confirm the result, but the proposed approach nevertheless considerably decreases time and costs.</p>
<p>An automated sampling system DiscoveryCERT FQS™ developed for the extraction and collection of chemical hazard contaminants from cargo pallets has been implemented to the sampling of corn, pistachio and wheat samples for the mycotoxin analysis. Samples of up to 50 kg could be loaded in the system [<xref ref-type="bibr" rid="b290-ijms-10-00062">290</xref>]. The system uses pressure cycling, vibration, air jetting, air blasts etc. for the agitation and release of vapor and particles from the sample material, which are then collected on glass fiber filters with a sampling lance. The filter materials are ground or made into aqueous slurry for subsequent analysis. The results correlate rather well with the concentration of mycotoxins determined by the standard sampling approach [<xref ref-type="bibr" rid="b290-ijms-10-00062">290</xref>].</p>
<p>Electronic noses detecting volatile compounds produced by fungi have been applied not only to detect fungal contamination of grain [<xref ref-type="bibr" rid="b84-ijms-10-00062">84</xref>, <xref ref-type="bibr" rid="b85-ijms-10-00062">85</xref>, <xref ref-type="bibr" rid="b87-ijms-10-00062">87</xref>] and apples [<xref ref-type="bibr" rid="b86-ijms-10-00062">86</xref>], but also to predict mycotoxin concentration [<xref ref-type="bibr" rid="b86-ijms-10-00062">86</xref>, <xref ref-type="bibr" rid="b87-ijms-10-00062">87</xref>]. Similarly, solid-phase microextraction or headspace withdrawal with subsequent GC-MS analysis can be used for the same purpose [<xref ref-type="bibr" rid="b82-ijms-10-00062">82</xref>, <xref ref-type="bibr" rid="b84-ijms-10-00062">84</xref>–<xref ref-type="bibr" rid="b87-ijms-10-00062">87</xref>]. These methods can be performed on the whole lot (or rather over it) of food/feed commodity.</p>
<p>As regards subsampling, the usual procedure is mixing and grinding of the sample to ensure homogenization. However, it has been shown that the distribution of the mycotoxin contamination is related to particle size [<xref ref-type="bibr" rid="b77-ijms-10-00062">77</xref>, <xref ref-type="bibr" rid="b283-ijms-10-00062">283</xref>]. Grinding procedures yielding finer particles, such as slurry mixing [<xref ref-type="bibr" rid="b292-ijms-10-00062">292</xref>], are therefore preferable, as well as analysis of the most representative ground fraction separated by sieving [<xref ref-type="bibr" rid="b77-ijms-10-00062">77</xref>]. Larger subsamples are also associated with lower CVs [<xref ref-type="bibr" rid="b283-ijms-10-00062">283</xref>].</p></sec>
<sec>
<title>6.3. Sample preparation bias</title>
<p>The next step in the analytical determination of mycotoxins is the preparation of the samples for the subsequent analysis, which is also prone to various errors. One dubious advantage may be that this step is usually performed by highly trained laboratory staff, which can more readily observe the possible problems. The well known problems with sample preparation are insufficient purification and consequent interferences during the analysis; introduction of artifacts because of too harsh extraction conditions (e.g. in Soxhlet apparatus); loss of analyte and incorrect estimation of its recovery. A good approach to avoid especially the last problem is the introduction of internal standard in the sample before the extraction and clean-up. Other critical points of sample preparation are highlighted below.</p>
<p>Generally, sample preparation consists of extraction and clean-up step, which may be performed together in some approaches, e.g. if the extraction is selective enough. On the other hand, the raw extract (i.e. without purification) can already yield satisfactory results in immunoassays [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b57-ijms-10-00062">57</xref>]. Several publications have shown that the analysis of raw extracts can be successfully accomplished by LC-MS [<xref ref-type="bibr" rid="b123-ijms-10-00062">123</xref>, <xref ref-type="bibr" rid="b124-ijms-10-00062">124</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b152-ijms-10-00062">152</xref>]. In spite of these reports, coextracted matrix compounds may present a problem even for selective MS detection. Even in the case of good chromatographic separation from interferences, which are “visible” only in one-stage mass analysis, there remains a greater chance of pronounced matrix effects - ionization suppression in LC-MS interface with raw extracts, leading to erroneous quantification [<xref ref-type="bibr" rid="b91-ijms-10-00062">91</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b146-ijms-10-00062">146</xref>]. Use of internal standards is therefore practically mandatory in such experiments [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b146-ijms-10-00062">146</xref>], but even this may not always suffice [<xref ref-type="bibr" rid="b174-ijms-10-00062">174</xref>, <xref ref-type="bibr" rid="b186-ijms-10-00062">186</xref>].</p>
<p>Raw extracts are usually obtained by solvent extraction of the sample material. The choice of the solvent or a mixture of solvents is of great importance here, having a direct impact on the recovery of mycotoxins from the matrix. Although the mixture of acetonitrile or methanol with water is most frequently applied, it is not equally suitable for all mycotoxins from every matrix [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b224-ijms-10-00062">224</xref>, <xref ref-type="bibr" rid="b267-ijms-10-00062">267</xref>]. Especially mycotoxins with acidic functional groups (fumonisins, ochratoxin A) require an addition of acidic modifier to enhance the recoveries, while some samples, e.g. animal tissues, respond better to polar organic solvents [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Various substances are added to the sample to precipitate bulk matrix components [<xref ref-type="bibr" rid="b134-ijms-10-00062">134</xref>] or enhance mycotoxin extraction [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. To speed up the extraction step, several approaches have been devised: shaking, blending, microwave assisted extraction (MAE) [<xref ref-type="bibr" rid="b97-ijms-10-00062">97</xref>], pressurized liquid extraction/accelerated solvent extraction [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>], but especially in the latter higher levels of coextracted matrix compounds have been observed [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Additional critical steps are phase separation [<xref ref-type="bibr" rid="b267-ijms-10-00062">267</xref>] and defatting with partitioning into nonpolar organic solvent, which is needed for extracts from samples with high lipid content [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Both may lead to further analyte loss. Another consideration is about the conjugated mycotoxins in some matrices, e.g. urine, which are better off hydrolyzed prior to extraction [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Finally, a word of caution regarding the estimation of recoveries and method calibration using the spiked samples. As it has been shown for many matrices, mycotoxins added to the sample are not so strongly embedded in the matrix as the native ones, therefore longer extraction times are needed for the naturally contaminated samples [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>].</p>
<p>The most frequently used approach for the clean-up of raw extracts is the use of immunoaffinity columns (IAC), which show high selectivity for chemically similar group of mycotoxins [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b146-ijms-10-00062">146</xref>] or to a certain extent even for single compounds [<xref ref-type="bibr" rid="b38-ijms-10-00062">38</xref>]. If single compounds are the target, cross-reactivity of IA material may present a serious problem with non-specific analytical method [<xref ref-type="bibr" rid="b36-ijms-10-00062">36</xref>]. The purification of extracts by IAC for chemically similar group is very efficient and is thus especially suitable in combination with non-specific analytical techniques, but is considered by many researchers an analytical “overkill” if used prior to highly selective LC-MS/MS analysis [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. In the era of multitoxin methods performed by LC-MS/MS [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>, <xref ref-type="bibr" rid="b121-ijms-10-00062">121</xref>, <xref ref-type="bibr" rid="b123-ijms-10-00062">123</xref>, <xref ref-type="bibr" rid="b124-ijms-10-00062">124</xref>, <xref ref-type="bibr" rid="b184-ijms-10-00062">184</xref>], compound-specific purification of extracts even presents an obstacle [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. Other drawbacks of IAC include rather low capacity [<xref ref-type="bibr" rid="b224-ijms-10-00062">224</xref>], significant loss of some analytes (e.g. fumonisins) [<xref ref-type="bibr" rid="b264-ijms-10-00062">264</xref>] and incompatibility of columns with some matrices [<xref ref-type="bibr" rid="b265-ijms-10-00062">265</xref>]. The comparably higher costs of IA columns should also be considered.</p>
<p>Moleculary imprinted polymers (MIPs) are increasingly popular as an alternative to IAC for selective clean-up of extracts [<xref ref-type="bibr" rid="b65-ijms-10-00062">65</xref>, <xref ref-type="bibr" rid="b66-ijms-10-00062">66</xref>]. While being cheaper, reusable and less sensitive to harsh conditions than IAC, they have problems of their own: non-specific binding, lower reproducibility, potential contamination of the extract by template bleeding [<xref ref-type="bibr" rid="b68-ijms-10-00062">68</xref>]. The commercial availability is currently low, although this is expected to change in the future [<xref ref-type="bibr" rid="b65-ijms-10-00062">65</xref>, <xref ref-type="bibr" rid="b293-ijms-10-00062">293</xref>].</p>
<p>Conventional solid-phase extraction (SPE) is the mainstay of extract purification for mycotoxin analysis, especially the MycoSep line of multifunctional cartridges, designed for easy and rapid handling [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>]. However, they have been shown to have low recoveries for zearalenone [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. A variety of SPE cartridges packed with a single sorbent are used as well: strong anion-exchange resins (SAX), aminopropyl, carbon materials, polymeric resins, reverse-phase (C<sub>18</sub>) etc. The choice of sorbent depends on the nature of the analyte and the sample, but also on the analytical method used [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b112-ijms-10-00062">112</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]. As an example: SAX cartridges are especially suitable for acidic mycotoxins, e.g. fumonisins, but their hydrolyzed metabolites are not retained [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>]. On the other hand, RP sorbent material is rather unspecific, but is thus advantageous in combination with multitoxin LC-MS/MS analyses [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b146-ijms-10-00062">146</xref>]. One additional advantage of SPE is its ease of automation [<xref ref-type="bibr" rid="b58-ijms-10-00062">58</xref>]. Some extraction methods are sufficiently specific and the extracts don’t need further clean-up. One example is the supercritical fluid extraction (SFE) [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b98-ijms-10-00062">98</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>], but unfortunately this approach is quite expensive and is thus not expected to gain broad acceptance. Solid-phase microextraction (SPME) has been applied to extract some mycotoxins from solid samples without any further purification [<xref ref-type="bibr" rid="b23-ijms-10-00062">23</xref>, <xref ref-type="bibr" rid="b27-ijms-10-00062">27</xref>, <xref ref-type="bibr" rid="b126-ijms-10-00062">126</xref>].</p>
<p>There are screening methods that don’t require any sample preparation, e.g. certain immunoaffinity assays [<xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>], electronic noses [<xref ref-type="bibr" rid="b84-ijms-10-00062">84</xref>–<xref ref-type="bibr" rid="b87-ijms-10-00062">87</xref>] and IR-based methods [<xref ref-type="bibr" rid="b76-ijms-10-00062">76</xref>, <xref ref-type="bibr" rid="b77-ijms-10-00062">77</xref>, <xref ref-type="bibr" rid="b80-ijms-10-00062">80</xref>]. They may have an advantage of circumventing this stage and its associated errors, but are instead prone to their own, which have been covered in detail in the appropriate section of this review. Moreover, the unseparated matrix compounds can greatly affect the results, especially in immunoassay methods [<xref ref-type="bibr" rid="b43-ijms-10-00062">43</xref>].</p></sec>
<sec>
<title>6.4. Analytical method bias</title>
<p>Analytical method, broadly speaking, encompasses also the sampling and sample preparation steps, but in this section the focus will be only on the final analytical determination of mycotoxins in the purified extract.</p>
<p>The particular problems connected with the individual techniques have been addressed in detail previously in the appropriate sections of this review, here we provide only a short overview. Many screening methods, but especially immunoaffinity assays, in particular broadly used ELISA, should be used with caution, as they tend to produce false positives or yield too high values due to cross-reactivity and matrix interferences [<xref ref-type="bibr" rid="b35-ijms-10-00062">35</xref>]. Interferences of course present the problem also in the more definitive techniques: GC, HPLC. Whenever derivatization of analytes is needed prior to detection, the recovery of the reaction should be closely monitored, and the stability of derivatives might also be a serious problem [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>, <xref ref-type="bibr" rid="b211-ijms-10-00062">211</xref>]. With LC-MS or LC-MS/MS methods, ionization suppression in the interface due to visible and “invisible” (i.e. coeluting over a broad range of retention times) matrix interferences is a well-recognized problem, sometimes observed also in GC-MS methods [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b123-ijms-10-00062">123</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b146-ijms-10-00062">146</xref>, <xref ref-type="bibr" rid="b151-ijms-10-00062">151</xref>, <xref ref-type="bibr" rid="b174-ijms-10-00062">174</xref>, <xref ref-type="bibr" rid="b234-ijms-10-00062">234</xref>]. The proposed solutions include extract dilution [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>], matrix-matched calibration [<xref ref-type="bibr" rid="b124-ijms-10-00062">124</xref>, <xref ref-type="bibr" rid="b150-ijms-10-00062">150</xref>, <xref ref-type="bibr" rid="b174-ijms-10-00062">174</xref>, <xref ref-type="bibr" rid="b234-ijms-10-00062">234</xref>] and use of internal standards [<xref ref-type="bibr" rid="b151-ijms-10-00062">151</xref>], preferably isotopically labeled [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b146-ijms-10-00062">146</xref>, <xref ref-type="bibr" rid="b159-ijms-10-00062">159</xref>, <xref ref-type="bibr" rid="b176-ijms-10-00062">176</xref>, <xref ref-type="bibr" rid="b180-ijms-10-00062">180</xref>, <xref ref-type="bibr" rid="b186-ijms-10-00062">186</xref>]. In multitoxin methods, more than one internal standard should be added [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>] - in fact, the best results are expected when using a corresponding isotopically-labeled IS for each analyte!</p>
<p>All methods for the analysis of mycotoxins should be fully validated by establishing compliance to various criteria: selectivity, linearity, limit of detection, limit of quantification, decision limit, detection capability, intra- and interday precision, recovery, accuracy, robustness etc. [<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>, <xref ref-type="bibr" rid="b294-ijms-10-00062">294</xref>]. However, this may present additional complications. The first problem is the lack of the calibrants, i.e. sufficiently purified mycotoxin standards. One common problem with the preparation of analytically pure standards is the assessment of their purity [<xref ref-type="bibr" rid="b295-ijms-10-00062">295</xref>, <xref ref-type="bibr" rid="b296-ijms-10-00062">296</xref>]. As was shown in the previous sections, different mycotoxins are to a variable extent amenable to various types of detection, while the impurities are completely unpredictable. The search continues for a universal, analyte-independent detector that would have the same response for standard compound and the impurities. Evaporative light-scattering detector has been proposed as such [<xref ref-type="bibr" rid="b138-ijms-10-00062">138</xref>], although it doesn’t meet all criteria. Other types of “universal” detectors showing promise are pulsed-discharge photoionization detector and charged aerosol detector (CAD). Another approach is the combined analysis of prepared calibrants by very different methods, e.g. NMR, GC-MS, LC-MS, differential scanning calorimetry etc. [<xref ref-type="bibr" rid="b295-ijms-10-00062">295</xref>], or by intercomparison studies in which several experienced laboratories participate [<xref ref-type="bibr" rid="b297-ijms-10-00062">297</xref>].</p>
<p>Even with available mycotoxin standards, matrix-matched calibration, which is absolutely necessary [<xref ref-type="bibr" rid="b124-ijms-10-00062">124</xref>, <xref ref-type="bibr" rid="b150-ijms-10-00062">150</xref>, <xref ref-type="bibr" rid="b174-ijms-10-00062">174</xref>, <xref ref-type="bibr" rid="b234-ijms-10-00062">234</xref>], may present problems such as interaction between added standard compound and components of the matrix, causing decreasing recoveries [<xref ref-type="bibr" rid="b263-ijms-10-00062">263</xref>]. Therefore, the golden standard of validation, certified reference materials (CRMs) should be used in the process of method validation, but not many of them are available at the moment [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b277-ijms-10-00062">277</xref>, <xref ref-type="bibr" rid="b294-ijms-10-00062">294</xref>, <xref ref-type="bibr" rid="b296-ijms-10-00062">296</xref>, <xref ref-type="bibr" rid="b297-ijms-10-00062">297</xref>]. Interlaboratory studies and comparisons also help to reveal potential methodological problems with mycotoxin analysis in individual laboratories [<xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b273-ijms-10-00062">273</xref>, <xref ref-type="bibr" rid="b296-ijms-10-00062">296</xref>, <xref ref-type="bibr" rid="b297-ijms-10-00062">297</xref>].</p></sec></sec>
<sec sec-type="conclusions">
<title>7. Conclusions</title>
<p>The review presented here covers an enormous subject of various aspects of mycotoxin analysis, which can be readily estimated from the number of references and considering that only the interval from 1998 to present has been covered, but by no means exhaustively. Thus, we hope that we have given an overview of the current status of analytical methods for mycotoxin determination in the broadest sense, and also hinted at the trends that might be promising and take over in the future. Various problems of the mycotoxin analysis have also been tackled. However, this review can’t afford to go into too much depth due to the broadness of the subject; the interested reader is therefore directed to the other excellent reviews that focus more on certain groups of mycotoxins [<xref ref-type="bibr" rid="b16-ijms-10-00062">16</xref>, <xref ref-type="bibr" rid="b17-ijms-10-00062">17</xref>, <xref ref-type="bibr" rid="b19-ijms-10-00062">19</xref>, <xref ref-type="bibr" rid="b25-ijms-10-00062">25</xref>, <xref ref-type="bibr" rid="b26-ijms-10-00062">26</xref>, <xref ref-type="bibr" rid="b39-ijms-10-00062">39</xref>, <xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>, <xref ref-type="bibr" rid="b98-ijms-10-00062">98</xref>, <xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>–<xref ref-type="bibr" rid="b140-ijms-10-00062">140</xref>, <xref ref-type="bibr" rid="b262-ijms-10-00062">262</xref>, <xref ref-type="bibr" rid="b266-ijms-10-00062">266</xref>, <xref ref-type="bibr" rid="b293-ijms-10-00062">293</xref>] or the applied analytical methods [<xref ref-type="bibr" rid="b12-ijms-10-00062">12</xref>, <xref ref-type="bibr" rid="b17-ijms-10-00062">17</xref>, <xref ref-type="bibr" rid="b34-ijms-10-00062">34</xref>, <xref ref-type="bibr" rid="b41-ijms-10-00062">41</xref>, <xref ref-type="bibr" rid="b52-ijms-10-00062">52</xref>, <xref ref-type="bibr" rid="b59-ijms-10-00062">59</xref>, <xref ref-type="bibr" rid="b69-ijms-10-00062">69</xref>, <xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>, <xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>–<xref ref-type="bibr" rid="b145-ijms-10-00062">145</xref>, <xref ref-type="bibr" rid="b189-ijms-10-00062">189</xref>, <xref ref-type="bibr" rid="b296-ijms-10-00062">296</xref>].</p></sec></body>
<back>
<ack>
<p>This work has been supported by the Slovenian Research Agency (Programme P1-0153). Authors also wish to thank the anonymous reviewers for their helpful suggestions.</p></ack>
<ref-list>
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<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-ijms-10-00062" position="float">
<label>Figure 1.</label>
<caption>
<p>Structures of aflatoxins {AFs} B1, B2, M1, G1, G2.</p></caption>
<graphic xlink:href="ijms-10-00062f1.gif"/></fig>
<fig id="f2-ijms-10-00062" position="float">
<label>Figure 2.</label>
<caption>
<p>Structures of some important trichothecenes.</p></caption>
<graphic xlink:href="ijms-10-00062f2.gif"/></fig>
<fig id="f3-ijms-10-00062" position="float">
<label>Figure 3.</label>
<caption>
<p>Structures of enniatins.</p></caption>
<graphic xlink:href="ijms-10-00062f3.gif"/></fig>
<fig id="f4-ijms-10-00062" position="float">
<label>Figure 4.</label>
<caption>
<p>Structures of some <italic>Alternaria</italic> mycotoxins: alternariol {AOH} (1), altenuene {ALT}(2), altertoxin I{ATX-I}(3).</p></caption>
<graphic xlink:href="ijms-10-00062f4.gif"/></fig>
<fig id="f5-ijms-10-00062" position="float">
<label>Figure 5:</label>
<caption>
<p>Structures of some Fusarium mycotoxins: FUM B<sub>1</sub> (1), moniliformin (usually as sodium or potassium salt) (2), zearalenone {ZON} (R =O) and zearalenol {ZOL} (R -OH) (3), possible metabolite zearalanone {ZAN} (4).</p></caption>
<graphic xlink:href="ijms-10-00062f5.gif"/></fig>
<fig id="f6-ijms-10-00062" position="float">
<label>Figure 6.</label>
<caption>
<p>Structures of some important mycotoxins produced by <italic>Penicillium</italic> and <italic>Aspergillus</italic> species: ochratoxin A {OTA}(1), patulin {PAT}(2), citrinin {CIT} (3), cyclopiazonic acid {CPA} (4), roquefortin C {RQ} (5), mycophenolic acid {MPA}(6).</p></caption>
<graphic xlink:href="ijms-10-00062f6.gif"/></fig>
<table-wrap id="t1-ijms-10-00062" position="float">
<label>Table 1.</label>
<caption>
<p>Major mycotoxin groups or individual compounds, the fungal species producing them and health effects they cause. <bold>S</bold>ymbols for mycotoxins are written in {} curly brackets. <italic>NUA</italic> denotes “not unequivocally established”.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">Mycotoxin(s)</th>
<th align="left">Fungal species</th>
<th align="left">Major health effects</th></tr></thead>
<tbody>
<tr>
<td align="left">Aflatoxins {AFs}: B1, B2, G1, G2</td>
<td align="left"><italic>Aspergillus</italic> ssp.</td>
<td align="left">hepatotoxic, immunosupressive, carcinogenic, teratogenic, mutagenic</td></tr>
<tr>
<td align="left">Sterigmatocystin {STC}</td>
<td align="left"><italic>Aspergillus</italic> ssp.</td>
<td align="left">precursor to aflatoxins</td></tr>
<tr>
<td align="left">Fumonisins {FUMs}: B1, B2, B3</td>
<td align="left"><italic>Fusarium</italic> ssp.</td>
<td align="left">liver and kidney tumors, oesophagal cancer, lung oedema (swine), leukoencephalomalacia (horses)</td></tr>
<tr>
<td align="left">Trichothecenes - type A: T-2 and HT-2 toxin, neosolaniol {NEOS}, diacetoxyscirpenol {DAS}</td>
<td align="left"><italic>Fusarium</italic> ssp.</td>
<td align="left">weight loss, diarrhea, dermal necrosis (poultry)</td></tr>
<tr>
<td align="left">Trichothecenes - type B: deoxynivalenol or vomitoxin {DON}, nivalenol {NIV}</td>
<td align="left"><italic>Fusarium</italic> ssp.</td>
<td align="left">food refusal and vomiting, kidney problems, immunosupression (swine)</td></tr>
<tr>
<td align="left">Resorcyclic acid lactones {RALs}: zearalenone {ZON}, zearalanone {ZAN} α- and β-zearalenol {ZOL}</td>
<td align="left"><italic>Fusarium</italic> ssp.</td>
<td align="left">oestrogenic effects, reproductive toxicity</td></tr>
<tr>
<td align="left">Ochratoxins {OTs}: A, B, α</td>
<td align="left"><italic>Aspergillus</italic> and <italic>Penicillium</italic> ssp.</td>
<td align="left">kidney and liver toxin, carcinogen; chronic toxicity as accumulates in body</td></tr>
<tr>
<td align="left">Ergot alkaloids: ergovaline, clavine alkaloids, lysergic acid derivatives and others</td>
<td align="left"><italic>Claviceps</italic>, <italic>Neotyphodium</italic>, <italic>Epichloe</italic> ssp. <italic>Fusarium</italic>, <italic>Beauveria</italic>,</td>
<td align="left">ergotism: gangrene, central nervous system symptoms (convulsions), gastrointestinal symptoms (vomiting)</td></tr>
<tr>
<td align="left">Enniatins: A, A1, B, B1, beauvericin {BEA}</td>
<td align="left"><italic>Halosarpheia</italic>, <italic>Paecilomyces</italic>, <italic>Polyporus</italic>, <italic>Verticillium</italic> ssp.</td>
<td align="left">acutely toxic, cardiac symptoms, herbicidal, insecticidal, antibiotic</td></tr>
<tr>
<td align="left"><italic>Alternaria</italic> toxins: altertoxins {ATXs}, alternariol {AOH}, altenuene {ALT}, radicinin and others</td>
<td align="left"><italic>Alternaria</italic> ssp.</td>
<td align="left">acute toxicity (<italic>NUA</italic>)</td></tr>
<tr>
<td align="left">Patulin {PAT}</td>
<td align="left"><italic>Penicillium</italic> and <italic>Aspergillus</italic> ssp.</td>
<td align="left">acutely toxic (<italic>NUA</italic>), genotoxic, carcinogenic, teratogenic, antibiotic</td></tr>
<tr>
<td align="left">Moniliformin</td>
<td align="left"><italic>Fusarium</italic> ssp. <italic>Penicillium</italic>, <italic>Aspergillus</italic>,</td>
<td align="left">acutely toxic, cardiac impairment</td></tr>
<tr>
<td align="left">Citrinin {CIT}</td>
<td align="left"><italic>Monascum</italic> ssp.</td>
<td align="left">hepatonephrotoxic, antifungal, antibiotic</td></tr>
<tr>
<td align="left">Cyclopiazonic acid {CPA}</td>
<td align="left"><italic>Aspergillus</italic> and <italic>Penicillium</italic> ssp.</td>
<td align="left">weight loss, nausea, diarrhea, giddiness, muscle necrosis, convulsions</td></tr>
<tr>
<td align="left">Roquefortin C {RQ} Mycophenolic acid {MPA}</td>
<td align="left"><italic>Penicillium roqueforti</italic></td>
<td align="left">RQ: acutely toxic (<italic>NUA</italic>), neurotoxic
<break/>MPA: immunosupression, mutagenic, antibiotic</td></tr></tbody></table></table-wrap>
<table-wrap id="t2-ijms-10-00062" position="float">
<label>Table 2.</label>
<caption>
<p>Methodology for determination of mycotoxins in different matrices.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" rowspan="2">Matrix</th>
<th align="center" rowspan="2">Mycotoxin Type</th>
<th align="center" colspan="2">Methodology
<hr/></th>
<th align="center" rowspan="2">References</th></tr>
<tr>
<th align="center">Sample Preparation</th>
<th align="center">Instrumentation</th></tr></thead>
<tbody>
<tr>
<td align="left" colspan="5"><italic>Beverages</italic></td></tr>
<tr>
<td align="left">Alcoholic drinks (must, wine, beer)</td>
<td align="left">OTA, DON, AFs</td>
<td align="left">LLE (PEG)
<break/>SPE (IAC, MIP, on-line) 
<break/>SPME
<break/>biosensors</td>
<td align="left">HPLC (FD, DAD, MS/MS)
<break/>GC (MS)
<break/>CE (DAD)</td>
<td align="left">[<xref ref-type="bibr" rid="b56-ijms-10-00062">56</xref>] [<xref ref-type="bibr" rid="b61-ijms-10-00062">61</xref>] [<xref ref-type="bibr" rid="b68-ijms-10-00062">68</xref>] [<xref ref-type="bibr" rid="b101-ijms-10-00062">101</xref>] [<xref ref-type="bibr" rid="b110-ijms-10-00062">110</xref>] [<xref ref-type="bibr" rid="b112-ijms-10-00062">112</xref>] [<xref ref-type="bibr" rid="b118-ijms-10-00062">118</xref>] [<xref ref-type="bibr" rid="b125-ijms-10-00062">125</xref>] [<xref ref-type="bibr" rid="b130-ijms-10-00062">130</xref>] [<xref ref-type="bibr" rid="b131-ijms-10-00062">131</xref>] [<xref ref-type="bibr" rid="b133-ijms-10-00062">133</xref>] [<xref ref-type="bibr" rid="b134-ijms-10-00062">134</xref>] [<xref ref-type="bibr" rid="b173-ijms-10-00062">173</xref>] [<xref ref-type="bibr" rid="b191-ijms-10-00062">191</xref>] [<xref ref-type="bibr" rid="b193-ijms-10-00062">193</xref>] [<xref ref-type="bibr" rid="b195-ijms-10-00062">195</xref>] [<xref ref-type="bibr" rid="b196-ijms-10-00062">196</xref>] [<xref ref-type="bibr" rid="b197-ijms-10-00062">197</xref>] [<xref ref-type="bibr" rid="b199-ijms-10-00062">199</xref>] [<xref ref-type="bibr" rid="b226-ijms-10-00062">226</xref>] [<xref ref-type="bibr" rid="b261-ijms-10-00062">261</xref>] [<xref ref-type="bibr" rid="b262-ijms-10-00062">262</xref>]</td></tr>
<tr>
<td align="left">Juices (e.g. apple juice)</td>
<td align="left">PAT, AOH</td>
<td align="left">LLE
<break/>SPE
<break/>ELISA
<break/>Dialysis extraction</td>
<td align="left">HPLC (UV, DAD, MS, MS/MS)
<break/>MEEKC
<break/>MEKC
<break/>GC (MS)
<break/>MS</td>
<td align="left">[<xref ref-type="bibr" rid="b46-ijms-10-00062">46</xref>] [<xref ref-type="bibr" rid="b86-ijms-10-00062">86</xref>] [<xref ref-type="bibr" rid="b129-ijms-10-00062">129</xref>] [<xref ref-type="bibr" rid="b178-ijms-10-00062">178</xref>] [<xref ref-type="bibr" rid="b179-ijms-10-00062">179</xref>] [<xref ref-type="bibr" rid="b181-ijms-10-00062">181</xref>] [<xref ref-type="bibr" rid="b227-ijms-10-00062">227</xref>] [<xref ref-type="bibr" rid="b228-ijms-10-00062">228</xref>] [<xref ref-type="bibr" rid="b236-ijms-10-00062">236</xref>] [<xref ref-type="bibr" rid="b256-ijms-10-00062">256</xref>] [<xref ref-type="bibr" rid="b258-ijms-10-00062">258</xref>] [<xref ref-type="bibr" rid="b263-ijms-10-00062">263</xref>]</td></tr>
<tr>
<td align="left" colspan="5"><italic>Food and feed matrices</italic></td></tr>
<tr>
<td align="left">Cereals</td>
<td align="left">FUMs (B1), FUS, STC, CIT, Trichotecenes (A, B), T2, HT-2, OTA, RALs, ALT, volatile metabolites</td>
<td align="left">LLE
<break/>SPE (IAC)
<break/>Stable isotope dilution
<break/>ASE
<break/>Immunosensor
<break/>SFE
<break/>HS
<break/>biosensors</td>
<td align="left">HPLC (FD, MS, MS/MS)
<break/>GC (MS, ECD)
<break/>derivatization
<break/>SFC
<break/>NIR+PCA
<break/>HPTLC</td>
<td align="left">[<xref ref-type="bibr" rid="b61-ijms-10-00062">61</xref>] [<xref ref-type="bibr" rid="b80-ijms-10-00062">80</xref>] [<xref ref-type="bibr" rid="b84-ijms-10-00062">84</xref>] [<xref ref-type="bibr" rid="b92-ijms-10-00062">92</xref>] [<xref ref-type="bibr" rid="b93-ijms-10-00062">93</xref>] [<xref ref-type="bibr" rid="b98-ijms-10-00062">98</xref>] [<xref ref-type="bibr" rid="b106-ijms-10-00062">106</xref>] [<xref ref-type="bibr" rid="b124-ijms-10-00062">124</xref>] [<xref ref-type="bibr" rid="b135-ijms-10-00062">135</xref>] [<xref ref-type="bibr" rid="b136-ijms-10-00062">136</xref>] [<xref ref-type="bibr" rid="b151-ijms-10-00062">151</xref>] [<xref ref-type="bibr" rid="b159-ijms-10-00062">159</xref>] [<xref ref-type="bibr" rid="b177-ijms-10-00062">177</xref>] [<xref ref-type="bibr" rid="b182-ijms-10-00062">182</xref>] [<xref ref-type="bibr" rid="b194-ijms-10-00062">194</xref>] [<xref ref-type="bibr" rid="b213-ijms-10-00062">213</xref>] [<xref ref-type="bibr" rid="b215-ijms-10-00062">215</xref>] [<xref ref-type="bibr" rid="b222-ijms-10-00062">222</xref>] [<xref ref-type="bibr" rid="b231-ijms-10-00062">231</xref>] [<xref ref-type="bibr" rid="b233-ijms-10-00062">233</xref>] [<xref ref-type="bibr" rid="b242-ijms-10-00062">242</xref>] [<xref ref-type="bibr" rid="b258-ijms-10-00062">258</xref>] [<xref ref-type="bibr" rid="b264-ijms-10-00062">264</xref>] [<xref ref-type="bibr" rid="b265-ijms-10-00062">265</xref>] [<xref ref-type="bibr" rid="b266-ijms-10-00062">266</xref>]</td></tr>
<tr>
<td align="left">Maize (corn)</td>
<td align="left">AFs, moniliformin, FUMs, FUS, DON, RALs, Trichothecenes (A, B, D), BEA, CPA, CIT</td>
<td align="left">LLE
<break/>SPE (IAC, on-line)
<break/>MSPD
<break/>SFE
<break/>Immuno-ultrafiltration
<break/>ELISA
<break/>Immunosensor
<break/>OPLC</td>
<td align="left">HPLC (UV, DAD, FD, MS, MS/MS, ELSD)
<break/>derivatization
<break/>TLC
<break/>GC (ECD)
<break/>Amperometric
<break/>detection
<break/>CE (LIF)
<break/>FAIMS-MS
<break/>HILIC
<break/>NIR
<break/>PCR
<break/>MED
<break/>IC</td>
<td align="left">[<xref ref-type="bibr" rid="b43-ijms-10-00062">43</xref>] [<xref ref-type="bibr" rid="b50-ijms-10-00062">50</xref>] [<xref ref-type="bibr" rid="b55-ijms-10-00062">55</xref>] [<xref ref-type="bibr" rid="b71-ijms-10-00062">71</xref>] [<xref ref-type="bibr" rid="b76-ijms-10-00062">76</xref>] [<xref ref-type="bibr" rid="b77-ijms-10-00062">77</xref>] [<xref ref-type="bibr" rid="b89-ijms-10-00062">89</xref>] [<xref ref-type="bibr" rid="b96-ijms-10-00062">96</xref>] [<xref ref-type="bibr" rid="b108-ijms-10-00062">108</xref>] [<xref ref-type="bibr" rid="b120-ijms-10-00062">120</xref>] [<xref ref-type="bibr" rid="b128-ijms-10-00062">128</xref>] [<xref ref-type="bibr" rid="b139-ijms-10-00062">139</xref>] [<xref ref-type="bibr" rid="b147-ijms-10-00062">147</xref>] [<xref ref-type="bibr" rid="b149-ijms-10-00062">149</xref>] [<xref ref-type="bibr" rid="b150-ijms-10-00062">150</xref>] [<xref ref-type="bibr" rid="b162-ijms-10-00062">162</xref>] [<xref ref-type="bibr" rid="b164-ijms-10-00062">164</xref>] [<xref ref-type="bibr" rid="b165-ijms-10-00062">165</xref>] [<xref ref-type="bibr" rid="b167-ijms-10-00062">167</xref>] [<xref ref-type="bibr" rid="b168-ijms-10-00062">168</xref>] [<xref ref-type="bibr" rid="b169-ijms-10-00062">169</xref>] [<xref ref-type="bibr" rid="b210-ijms-10-00062">210</xref>] [<xref ref-type="bibr" rid="b212-ijms-10-00062">212</xref>] [<xref ref-type="bibr" rid="b213-ijms-10-00062">213</xref>] [<xref ref-type="bibr" rid="b234-ijms-10-00062">234</xref>] [<xref ref-type="bibr" rid="b239-ijms-10-00062">239</xref>] [<xref ref-type="bibr" rid="b245-ijms-10-00062">245</xref>] [<xref ref-type="bibr" rid="b248-ijms-10-00062">248</xref>] [<xref ref-type="bibr" rid="b258-ijms-10-00062">258</xref>] [<xref ref-type="bibr" rid="b267-ijms-10-00062">267</xref>]</td></tr>
<tr>
<td align="left">Wheat</td>
<td align="left">Trichothecenes, AFs, RALs, FUMs, volatile metabolites</td>
<td align="left">LLE
<break/>SPE (IAC)
<break/>ELISA
<break/>SPME
<break/>MAE</td>
<td align="left">LC (MS)
<break/>GC (FID, ECD)
<break/>FTIR+PCA</td>
<td align="left">[<xref ref-type="bibr" rid="b35-ijms-10-00062">35</xref>] [<xref ref-type="bibr" rid="b60-ijms-10-00062">60</xref>] [<xref ref-type="bibr" rid="b75-ijms-10-00062">75</xref>] [<xref ref-type="bibr" rid="b84-ijms-10-00062">84</xref>] [<xref ref-type="bibr" rid="b97-ijms-10-00062">97</xref>] [<xref ref-type="bibr" rid="b216-ijms-10-00062">216</xref>] [<xref ref-type="bibr" rid="b221-ijms-10-00062">221</xref>]</td></tr>
<tr>
<td align="left">Rice</td>
<td align="left">AFs, FUMs, CIT, OTA, Trichothecenes B, FUMs, FUS-X, STC, ZON</td>
<td align="left">SPE
<break/>ASE</td>
<td align="left">HPLC (UV, FD; MS, MS/MS) 
<break/>GC (ECD, MS)
<break/>HPTLC</td>
<td align="left">[<xref ref-type="bibr" rid="b94-ijms-10-00062">94</xref>] [<xref ref-type="bibr" rid="b243-ijms-10-00062">243</xref>] [<xref ref-type="bibr" rid="b268-ijms-10-00062">268</xref>] [<xref ref-type="bibr" rid="b269-ijms-10-00062">269</xref>]</td></tr>
<tr>
<td align="left">Soy</td>
<td align="left">Trichothecenes, ZON</td>
<td align="left"/>
<td align="left">HPLC (UV) 
<break/>GC (MS)</td>
<td align="left">[<xref ref-type="bibr" rid="b270-ijms-10-00062">270</xref>]</td></tr>
<tr>
<td align="left">Peanuts, tree nuts, pistachios, seeds</td>
<td align="left">AFs, AOH</td>
<td align="left">LLE
<break/>SFE
<break/>ELISA
<break/>MSPD</td>
<td align="left">HPLC (FD, MS)
<break/>IMS</td>
<td align="left">[<xref ref-type="bibr" rid="b95-ijms-10-00062">95</xref>] [<xref ref-type="bibr" rid="b119-ijms-10-00062">119</xref>] [<xref ref-type="bibr" rid="b122-ijms-10-00062">122</xref>] [<xref ref-type="bibr" rid="b259-ijms-10-00062">259</xref>]</td></tr>
<tr>
<td align="left">Coffee</td>
<td align="left">OTA</td>
<td align="left">LLE
<break/>SPE (IAC) 
<break/>SPME</td>
<td align="left">HPLC (FD) 
<break/>CE (LIF)</td>
<td align="left">[<xref ref-type="bibr" rid="b99-ijms-10-00062">99</xref>] [<xref ref-type="bibr" rid="b190-ijms-10-00062">190</xref>] [<xref ref-type="bibr" rid="b252-ijms-10-00062">252</xref>]</td></tr>
<tr>
<td align="left">Cocoa products, chocholate</td>
<td align="left">AFs, CPA, OTA</td>
<td align="left">SPE (IAC)</td>
<td align="left">HPLC</td>
<td align="left">[<xref ref-type="bibr" rid="b271-ijms-10-00062">271</xref>] [<xref ref-type="bibr" rid="b272-ijms-10-00062">272</xref>] [<xref ref-type="bibr" rid="b273-ijms-10-00062">273</xref>]</td></tr>
<tr>
<td align="left">Herbs, spices</td>
<td align="left">AFB1, OTA</td>
<td align="left">ELISA</td>
<td align="left"/>
<td align="left">[<xref ref-type="bibr" rid="b54-ijms-10-00062">54</xref>], [<xref ref-type="bibr" rid="b57-ijms-10-00062">57</xref>]</td></tr>
<tr>
<td align="left">Red paprika</td>
<td align="left">AFs, OTA</td>
<td align="left">LLE
<break/>SPE (IAC)</td>
<td align="left">HPLC (FD) 
<break/>NIR</td>
<td align="left">[<xref ref-type="bibr" rid="b81-ijms-10-00062">81</xref>], [<xref ref-type="bibr" rid="b203-ijms-10-00062">203</xref>]</td></tr>
<tr>
<td align="left">Bee pollen</td>
<td align="left">OTA, AFs (B1, B2, G1, G2)</td>
<td align="left">IAC</td>
<td align="left">HPLC (FD</td>
<td align="left">[<xref ref-type="bibr" rid="b103-ijms-10-00062">103</xref>]</td></tr>
<tr>
<td align="left">Eggs</td>
<td align="left">AFs (B1), DON, ZON</td>
<td align="left">IAC</td>
<td align="left">HPLC (MS)</td>
<td align="left">[<xref ref-type="bibr" rid="b274-ijms-10-00062">274</xref>] [<xref ref-type="bibr" rid="b275-ijms-10-00062">275</xref>]</td></tr>
<tr>
<td align="left">Fish</td>
<td align="left">RALs</td>
<td align="left">On-line MSPD
<break/>SPE</td>
<td align="left">HPLC (MS/MS)</td>
<td align="left">[<xref ref-type="bibr" rid="b28-ijms-10-00062">28</xref>]</td></tr>
<tr>
<td align="left">Meat, meat products</td>
<td align="left">AFs</td>
<td align="left">IAC</td>
<td align="left">HPLC (FD)</td>
<td align="left">[<xref ref-type="bibr" rid="b108-ijms-10-00062">108</xref>]</td></tr>
<tr>
<td align="left">Milk, dairy products</td>
<td align="left">AFs (M1), OTA, ergovaline, DON, ZON, FUMs, T-2, MPA, RQ, CPA</td>
<td align="left">LLE
<break/>SPE (IAC) 
<break/>ELISA</td>
<td align="left">HPLC (FD, MS/MS) 
<break/>Amperometric
<break/>detection</td>
<td align="left">[<xref ref-type="bibr" rid="b23-ijms-10-00062">23</xref>] [<xref ref-type="bibr" rid="b24-ijms-10-00062">24</xref>] [<xref ref-type="bibr" rid="b27-ijms-10-00062">27</xref>] [<xref ref-type="bibr" rid="b29-ijms-10-00062">29</xref>] [<xref ref-type="bibr" rid="b63-ijms-10-00062">63</xref>] [<xref ref-type="bibr" rid="b183-ijms-10-00062">183</xref>] [<xref ref-type="bibr" rid="b187-ijms-10-00062">187</xref>] [<xref ref-type="bibr" rid="b201-ijms-10-00062">201</xref>] [<xref ref-type="bibr" rid="b205-ijms-10-00062">205</xref>] [<xref ref-type="bibr" rid="b219-ijms-10-00062">219</xref>] [<xref ref-type="bibr" rid="b276-ijms-10-00062">276</xref>] [<xref ref-type="bibr" rid="b277-ijms-10-00062">277</xref>] [<xref ref-type="bibr" rid="b278-ijms-10-00062">278</xref>]</td></tr>
<tr>
<td align="left" colspan="4"><italic>Biological samples</italic></td>
<td align="left">[<xref ref-type="bibr" rid="b142-ijms-10-00062">142</xref>]</td></tr>
<tr>
<td align="left">Urine, plasma</td>
<td align="left">Trichothecenes, FUMs (B1), OTA, RALs, taleranol, RQ</td>
<td align="left">SPE (IAC) 
<break/>SPME</td>
<td align="left">HPLC (MS, MS/MS)</td>
<td align="left">[<xref ref-type="bibr" rid="b30-ijms-10-00062">30</xref>] [<xref ref-type="bibr" rid="b102-ijms-10-00062">102</xref>] [<xref ref-type="bibr" rid="b109-ijms-10-00062">109</xref>] [<xref ref-type="bibr" rid="b127-ijms-10-00062">127</xref>] [<xref ref-type="bibr" rid="b149-ijms-10-00062">149</xref>] [<xref ref-type="bibr" rid="b155-ijms-10-00062">155</xref>] [<xref ref-type="bibr" rid="b160-ijms-10-00062">160</xref>] [<xref ref-type="bibr" rid="b161-ijms-10-00062">161</xref>] [<xref ref-type="bibr" rid="b218-ijms-10-00062">218</xref>] [<xref ref-type="bibr" rid="b279-ijms-10-00062">279</xref>] [<xref ref-type="bibr" rid="b280-ijms-10-00062">280</xref>]</td></tr>
<tr>
<td align="left">Blood</td>
<td align="left">OTs (A, B), MPA</td>
<td align="left">LLE
<break/>ELISA</td>
<td align="left">HPLC (FD, MS/MS) 
<break/>CZE (LIF)</td>
<td align="left">[<xref ref-type="bibr" rid="b202-ijms-10-00062">202</xref>] [<xref ref-type="bibr" rid="b254-ijms-10-00062">254</xref>] [<xref ref-type="bibr" rid="b281-ijms-10-00062">281</xref>]</td></tr>
<tr>
<td align="left">Liver, kidney, lung, brain,…</td>
<td align="left">FUMs (B1), ZON, AFs</td>
<td align="left">SPE</td>
<td align="left">HPLC (FD)</td>
<td align="left">[<xref ref-type="bibr" rid="b207-ijms-10-00062">207</xref>] [<xref ref-type="bibr" rid="b282-ijms-10-00062">282</xref>]</td></tr>
<tr>
<td align="left" colspan="5"><italic>Environmental samples</italic></td></tr>
<tr>
<td align="left">Water</td>
<td align="left">AFs (B1), DON, OTA, RALs</td>
<td align="left">SPE (IAC, MIP, RAM) 
<break/>biosensors</td>
<td align="left">HPLC (FD, MS, MS/MS) 
<break/>GC (MS)</td>
<td align="left">[<xref ref-type="bibr" rid="b33-ijms-10-00062">33</xref>] [<xref ref-type="bibr" rid="b156-ijms-10-00062">156</xref>]</td></tr>
<tr>
<td align="left">Soil</td>
<td align="left">RALs, OTA</td>
<td align="left">LLE
<break/>SPE
<break/>Soxlet extraction</td>
<td align="left">HPLC (FD)</td>
<td align="left">[<xref ref-type="bibr" rid="b31-ijms-10-00062">31</xref>] [<xref ref-type="bibr" rid="b32-ijms-10-00062">32</xref>] [<xref ref-type="bibr" rid="b91-ijms-10-00062">91</xref>]</td></tr>
<tr>
<td align="left" colspan="4"><italic>Indoor environment</italic></td>
<td align="left">[<xref ref-type="bibr" rid="b171-ijms-10-00062">171</xref>]</td></tr>
<tr>
<td align="left">House dust</td>
<td align="left">Trichothecenes, OTA, STC</td>
<td align="left">LLE
<break/>SPE</td>
<td align="left">CE
<break/>TLC
<break/>HPLC (MS/MS)</td>
<td align="left">[<xref ref-type="bibr" rid="b170-ijms-10-00062">170</xref>] [<xref ref-type="bibr" rid="b253-ijms-10-00062">253</xref>]</td></tr>
<tr>
<td align="left">Building material</td>
<td align="left">AFs, STC, CIT, OTA Volatile metabolites</td>
<td align="left">LLE
<break/>SPE</td>
<td align="left">HPLC (MS/MS)</td>
<td align="left">[<xref ref-type="bibr" rid="b11-ijms-10-00062">11</xref>] [<xref ref-type="bibr" rid="b12-ijms-10-00062">12</xref>] [<xref ref-type="bibr" rid="b172-ijms-10-00062">172</xref>]</td></tr>
<tr>
<td align="left">Indoor air</td>
<td align="left">OTA, AFs, ZON</td>
<td align="left">LLE</td>
<td align="left">HPLC (FD)</td>
<td align="left">[<xref ref-type="bibr" rid="b13-ijms-10-00062">13</xref>] [<xref ref-type="bibr" rid="b14-ijms-10-00062">14</xref>] [<xref ref-type="bibr" rid="b148-ijms-10-00062">148</xref>]</td></tr></tbody></table></table-wrap></sec></back></article>
