Next Article in Journal
Design and Modelling of an Amphibious Spherical Robot Attached with Assistant Fins
Previous Article in Journal
Fabrication of Lensed Optical Fibers for Biosensing Probes Using CO2 and Femtosecond Lasers
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Sequential Analysis of Trace Elements in a Micro Volume Urine Sample Using Inductively Coupled Plasma Mass Spectrometry

1
Institute of Precision Medicine, Medical and Life Sciences Faculty, Furtwangen University, Jakob-Kienzle-Str. 17, D-78054 VS-Schwenningen, Germany
2
Institute of Anatomy and Cell Biology, Department of Medical Cell Biology, University of Marburg, Robert-Koch-Str. 8, D-35037 Marburg, Germany
3
Natural Science and Technical Academy (NTA), Seidenstr. 12-35, D-88316 Isny, Germany
4
Institute of Pharmaceutical Sciences, University of Freiburg, Albertstraße 25, D-79104 Freiburg i. Br., Germany
5
Fraunhofer Institute IZI Leipzig, EXIM Department, Schillingallee 68, D-18057 Rostock, Germany
6
Faculty of Science, Associated Member of Tuebingen University, Auf der Morgenstelle 8, D-72076 Tübingen, Germany
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(9), 3740; https://doi.org/10.3390/app11093740
Submission received: 19 March 2021 / Revised: 12 April 2021 / Accepted: 15 April 2021 / Published: 21 April 2021

Abstract

:
In this work, we describe a simple, fast, cheap, accurate and high-throughput method for the determination of Al; V; Cr; Mn; Fe; Co; Cu; Zn; As; Se; Mo; Cd; Sn; Ba; TI; Pb in a micro volume of urine by using inductively coupled mass spectrometry (ICP-MS) equipped with an octupole-based collision cell. The samples were directly analyzed after a simple acidification with 3% nitric acid. Validation of this method was performed by using certified urine reference material. He and H were used as collision gas for reducing polyatomic interference for most of the measured elements. Finally, we partook in an external quality assurance conducted by ISNTAND e.V. 2. Results show that our high-throughput method is ideal for detecting elements in newborns and infants because of its simplicity, speed, accuracy and low sample volume.

1. Introduction

Urine is one of the oldest and most basic human specimens used to evaluate the presence, severity and cause of diseases within the kidney and urinary tract [1]. Several diseases can be traced back to an imbalance of trace elements [2,3,4,5]. Since the early 1990s, trace elements have been attracting attention in a wide range of scientific areas related to human health such as clinical analysis, nutritional diagnosis and environmental analysis [6,7,8,9,10]. These elements may be either essential or non-essential. Essential elements (manganese (Mn), cobalt (Co), copper (Cu), zinc (Zn), molybdenum (Mo)) are those that are required for normal physiological processes in human beings [11]. Many elements are part of protein complexes that are required for enzymatic activities and may also play structural roles in tissue or cell membranes. Non-essential trace elements (aluminum (Al), vanadium (V), arsenic (As), cadmium (Cd), tin (Sn), lead (Pb)) are considered toxic and are not essential for physiological processes [9,11]. Moreover, essential trace elements can cause toxicity if they reach excessive levels in the human body. Chelation therapy is commonly used by physicians to counteract excessive and harmful levels of non-essential trace elements. Recently, several researchers have claimed that chelation therapy can also help in treating many other conditions, including heart disease [12,13], autism [14], Alzheimer’s disease [15], and diabetes [12]. Chelation therapy is used to remove metals (e.g., Al, V, chromium (Cr), Mn, iron (Fe), Co, Cu, Zn, As, selenium (Se), Mo, Cd, Sn, barium (Ba), Tl, Pb) from the body by the formation of a chelate complex. Chelators are chelating ligands that are used during chelation therapy. Chelators—such as EDTA (ethylenediaminetetraacetate), BAL (British anti-Lewisite), DMSA (2,3-dimercaptosuccinic acid), DMPS (2,3-dimercapto-1-propanesulfonic acid), and DPA (2- amino-3-methyl-3 sulfanylbutanoic acid)—mobilize metals from tissues and maintain the chelate complex during circulation to the kidneys and subsequent excretion in the urine [16]. Chelation therapy is a very effective way to remove several metals from the body. The elements selected to be measured in this work were therefore chosen based on their importance in chelation therapy and on their relevance to biological processes. Al is a non-essential trace element and has no physiological function in the human body. Al occurs naturally in soil, water, and air. Small amounts of Al are released into the environment from coal-fired power plants and incinerators. An exceedingly small amount of the Al in food or water can enter the human body through the digestive tract. However, most of this absorbed element is excreted by the human body. Nevertheless, an overload of Al over a long period of time can trigger disorders in the brain (such as Alzheimer’s), and damage the liver, kidneys and bones [17]. Moreover, an overload of this element may lead to inflammatory effects or oxidative stress [18]. V is one of the minerals that is regularly ingested through our daily diet. As an ultra-trace element, V occurs only in very small amounts in the body. The highest levels of V are found in the liver, kidneys and bones. An overload of this element may cause chronic bronchi, lungs and intestine disease. Furthermore, visual disturbances, nausea and cardiac arrhythmia have been described [19,20]. Another ultra-trace but essential element is Mn. It is found in the liver, kidneys, pancreas, and in bone marrow. Mn is absorbed through the small intestine and is transported through the blood plasma. Mn is mainly excreted via bile and urine. Due to today’s good nutrition, Mn deficiency symptoms are hardly possible nowadays. Skeletal changes, coagulation disorders, and disturbed sperm formation were also observed [21]. In humans, a lack of Mn is suspected to cause oxidative stress and bone structure problems [22]. Co exposure is increasing as cobalt demand rises worldwide due to its use in enhancing rechargeable battery efficiency, super-alloys, and magnetic products. Co is considered to be a possible human carcinogen, with the lung being a primary target. However, few studies have considered cobalt-induced toxicity in human lung cells [23]. Although Co has a biologically necessary role as a metal constituent of vitamin B12, excessive exposure has been shown to induce various adverse health effects. The systemic health effects are characterized by a complex clinical syndrome, including mainly neurological (e.g., hearing and visual impairment), cardiovascular, and endocrine deficits [24]. Two of the most important trace elements playing a major role in the development of oxidative stress are Se and Cu. These elements are necessary for numerous oxidase and superoxide dismutase (SOD) reactions in the cytosol. Cu, in particular, is a critical functional component of several enzymes related to oxidative stress, e.g., SOD, cytochrome C oxidase (CCO) in the mitochondria, and tyrosinase [25,26]. An excess amount of Mn, Cu, or iron is toxic for the human body.
Unregulated copper homeostasis may lead to diseases such as Menkes disease—characterized by a deficiency of Cu, or to Wilson’s disease—characterized by an excessive amount of Cu [26]. Zn—which is also found in enzymes—catalyzes several synthetic biological reactions [25]. A Zn deficiency is characterized by acral dermatitis, alopecia, and diarrhea [27]. As, Cd and Pb are all highly toxic to humans in their ionic forms. Table 1 lists element concentration ranges that may be encountered in urine.
The primary targets for the above-mentioned toxic elements (As, Cd and Pb) are not well understood, as they can damage different cellular structures and a variety of tissues and organs [33,34]. However, one major cause of toxicity may be the strong interaction with sulfohydryl groups, and their interference with the homeostasis of essential elements [35]. Cd, for example, is known to interfere with the calcium (Ca) metabolism in humans [36]. Furthermore, Cd and Pb can replace Zn in proteins, adding another possible mechanism of toxicity. Indeed, Cd and inorganic As are both also classified as carcinogens, rendering their evaluation in urine highly relevant.
In the past, atomic absorption spectrometry (AAS) was used for biomonitoring the levels of trace elements in various laboratories. Nowadays, many laboratories have moved towards methods based on inductively coupled plasma coupled with mass spectrometry (ICP-MS). ICP-MS has become the method of choice for analyzing trace elements in urine and blood due to its many advantages, including sequential multielement measurements, and lower cost- and time-consuming analysis [8,9]. The typical amount of sample for trace element analysis in urine has varied amongst authors and number of trace elements. Currently, the sample volume of urine reported for the sequential analysis of trace elements is usually between 200 µL [37] and 2000 µL [38]. However, the amount of urine is often a limiting factor in clinical testing laboratories, especially when diagnosing newborns or infants. Therefore, well validated methods using a micro volume of sample with minimal hands-on time are crucial for such applications. In this study, we develop and validate a simple dilute and shoot method for the sequential determination of 16 trace elements—namely, Al; V; Cr; Mn; Fe; Co; Cu; Zn; As; Se; Mo; Cd; Sn; Ba; TI; and Pb—that are relevant in the monitoring of chelation therapy using a micro volume of human urine. We performed our experiments on an ICP-MS 7900 (Agilent Technologies, Tokyo, Japan) equipped with an octupole-based collision cell. As a further sign of quality, it is necessary to validate a method and participate in an external quality assessment in order to increase credibility with health agencies. Reducing the turnaround time and sample volume in routine analysis is also one of the most challenging parts in method development. Such traits are highly in demand due to the fact that they are moderately prized and timesaving in sample preparation as well as analysis time.

2. Materials and Methods

2.1. Instrumentation

All measurements were performed with an ICP-MS (Agilent 7900) equipped with standard nickel cones and an SPS-4 Autosampler (Agilent Technologies, Tokyo, Japan). High-purity argon (99.999%) was used for ICP maintenance. A nebulizer, type Micro Mist, was installed. All other operating conditions are shown in Table 2. Data were acquired in counts per second (cps). The following isotopes were selected: 27Al, 51V, 52Cr, 55Mn, 56Fe, 59Co, 63Cu, 66Zn, 75As, 78Se, 95Mo, 103Rh, 111Cd, 118Sn, 137Ba, 193Ir, 205TI, 208Pb. The optimization of ICP-MS was carried out by using a tuning solution consisting of Cs (cesium, 55), Co (cobalt, 27), Li (lithium, 3), Mg (magnesium, 12), Tl (thallium, 81), and Y (yttrium, 39) (Agilent Technologies, Palo Alto, CA, USA). All measurements were performed in triplicate from each vial. The spectra were recorded using Agilent MassHunter Data software (version 4.2).
Elements were measured in three different modes whilst the ICP-MS-System was performance checked daily. Table 3 shows the trace element acquisition parameters.

2.2. Reagents

For analytical purity suprapure nitric acid (Merck, Kenilworth, NJ, USA, Ref. 1.00441) and high-purity (>18 MΩ cm−1) deionized distilled water was used in all experiments. All solutions were prepared in high-purity water obtained from a Milli-Q Water-station (Milli-Q® HX-7040-SD). All consumable materials such as tubes, gloves and vessels were purchased from Carl Roth GmbH and Co KG (Karlsruhe, Germany) laboratories. Plastic bottles and tubes were cleaned by soaking in 3% nitric acid overnight, rinsing in high-purity water, and then air-drying before use.

2.3. Samples

Commercially available control and calibration sample material produced for quality assurance purposes—manufactured by Recipe® (ClinCheck, Munich, Germany) Chemicals and Instruments GmbH and Seronorm® Trace Elements Urine Level 1 and 2 (Sero AS, Billingstad, Norway)—was used for method development, validation, and application. Therefore, no ethics approval was necessary.

2.4. Calibration and Sample Preparation

A three-point calibration using a blank consisting of 3% nitric acid and Urine Level 1 (REF 210605, Sero AS, Billingstad, Norway) and 2 (REF 210705, Sero AS, Billingstad, Norway) was prepared daily for the comparative analysis of trace element concentrations of Al, V, Cr, Mn, Fe, Co, Cu, Zn, As, Se, Mo, Cd, Sn, Ba, TI and Pb in urine. For assessment of linearity, slope, limit of detection (LOD) and limit of quantification (LOQ), a five-point calibration was used. For method validation reference materials, ClinCheck® Trace Elements Urine L-1 (REF 8847, Recipe®, Munich, Germany) and ClinCheck® Trace Elements Urine L-2 (REF 8848, Recipe®, Munich, Germany) were analyzed. A serial dilution in 3% nitric acid (made from suprapur nitric acid 65%, Merck, Darmstadt, Germany) of the reference samples was prepared in decreasing amounts. For sample preparation, only 100 µL of the corresponding urine sample was acidified with 3% nitric acid filled up to 3 mL in a 15 mL polypropylene tube. After that, the samples were homogenized on a vortex for 5 s and were then ready for measurement. Devices used for sample preparation were pipettes (volumes 50–1000 mL) and a dispenser with adjustable volumes from 1–5 mL (Eppendorf, Hamburg, Germany). This is an easy, quick, and accurate dilute and shoot sample preparation method for preparing many samples in a short time. A similar amount of Rh and Ir were added as an internal standard to all samples throughout the measurement.

2.5. Data Validation and Statistics

Statistical methods were validated according to the ICH Guidelines and implemented on three different days. All of the analytes presented in this work are in the acceptance range specified by the manufacturer, whilst most analytes are within clinical reference ranges, as shown in Table 4.
A validation of the methods was carried out to determine performance and comprised of precision in series (CV in %), accuracy, limits of detection (LOD) and limits of quantification (LOQ). Precision was assessed using the coefficient of variation and accuracy by analyte recovery determination.

2.6. External Quality Assessment

The accuracy and the suitability of the method for routine use was tested by participation in an external quality assessment conducted by INSTAND e.V. (Düsseldorf, Germany) according to the Guidelines of the Society for the Promotion of Quality Assurance in Medical Laboratories. The freeze-dried samples were then transported to our laboratory at room temperature. The samples were ready for preparation after reconstituting them according to the INSTAND e.V. guidelines.

3. Results and Discussion

The aim of our study was to develop a fast, simple, cheap and well-validated method for the sequential detection of trace elements in urine by using a micro amount of sample which makes this method suitable for routine use in the biomonitoring of newborns and infants.

3.1. Matrix Interference

We developed simple and cost-effective dilute and shoot sample preparation procedures for evaluating and comparing sixteen important essential and non-essential trace elements. Urine samples could be analyzed directly in the simple dilution described above. The direct introduction of a highly concentrated organic matrix in the plasma often results in matrix interferences and spectral interferences from polyatomic ions. Spectral interferences have been reported for several elements such as 40Ar35Cl+ for 75As+, 35Cl16O+ for 51V+, 43Ca16O+ for 59Co+, 40Ar23Na+ for 63Cu+, and 32S16O18O+ for 66Zn+. Another prominent interference in urine analysis is 95Mo16O+ for 111Cd+ [39,40]. Al, V, Co, Cr, Cu, Zn, As, and Cd were determined using an octupole-based collision cell with helium and hydrogen as the collision gas in order to avoid interferences of molecules [39].

3.2. Sample Preparation and Digestion

Sample preparation is recognized to be the largest source of errors and one of the most critical analysis points [41]. Therefore, it is essential to eliminate any disturbing matrix influence to avoid undesirable effects on sample preparation or analysis. Variations in matrix effects of urine depends on various factors including diet, renal function or hydration status [42]. Nevertheless, urine is a body fluid with a comparably low amount of sample matrix, requiring little sample preparation (e.g., simple dilution with nitric acid [41]). Whilst research groups have reported simple dilution procedures [43,44], several used significantly more sample material. Nitric acid (≤5%) is commonly used for metal dissolution and stabilization for ICP-MS urine analysis [45]. Another advantage of adding acid is that it reduces the pH to less than 2 of the sample. It also stabilizes the sample and prevents losses through wall absorptions in the tube and the growth of bacteria [46].

3.3. Validation

The described procedure was thoroughly validated in accordance with the International Conference for Harmonization (ICH) guidelines to verify its fit for the intended purpose [47]. Several industry committees, regulatory agencies, and individual researchers have published reviews about validation strategies, quality assurance, and regulatory purposes [48], wherein most are related to the pharma and chemical industry. Over the years, method validation guidelines have been offered by numerous international organizations such as the American Society for Testing and Material (ASTM), the European Analytical Chemistry Group (EURACHEM), and the European Committee for Normalization (CEN) [49]. Consequently, several validation guidelines with different scopes have been issued describing the validation parameters to be studied, the way to determine each one, and their acceptance criteria. The ICH guideline is our preference, especially as this guideline has been developed for harmonization purposes. Our method was validated regarding linearity and slope, method LODs and LOQs, repeatability and accuracy and precision.

3.4. Linearity and Slope

The linearity was evaluated using correlation coefficients (R2). Regression is considered to be linear if R2 ≥ 0.995 [50]. R2 values were higher than or equal to 0.98 for all elements of this work. The linearity was calculated based on five analyte concentrations. Mean values of intensity from three repetitions were taken for each calibration point. Table 5 shows the linearity, slope and the validation range of our method.
A linear regression can be assumed for all analyzed elements except for Al, Co, Zn, Se and Pb—where the R2 is slightly lower than the recommended value [50].

3.5. Limit of Detection (LOD) and Limit of Quantification (LOQ)

The limit of detection (LOD) and limit of quantification (LOQ) were calculated as a signal-to-noise ratio of 3 and 10, respectively. The LOD is the minimum concentration of the analyte that can be detected but not quantitated as an exact value. The LOQ is defined as the minimum concentration of the analyte that can be quantitatively determined with suitable precision and accuracy. LOD and LOQ were calculated according to Armbruster and Pry (2008) [51]. Table 6 shows the LOD and LOQ for all elements measured in this study.

3.6. Repeatability, Accuracy and Precision

Spectral interferences, as described above, play an important role in trace element analysis using ICP-MS. He and H collision or reaction gas, respectively, were chosen in order to avoid relevant spectral interferences, as shown in Table 3. According to Batista et al. [52], the use of standard reference material is recommended when validating a method. The element composition of the urine samples and the intra-and inter-day analysis of the samples are shown in Table 7. The values shown in Table 7 are the average of triplicate preparations within a day analysis (n = 3). The final average concentration is an average concentration of the average values of each day.
Table 7 demonstrates the determination of the elements Al, V, Cr, Mn, Fe, Co, Cu, Zn, As, Se, Mo, Cd, Sn, Ba, TI and Pb with an accuracy ranging from 90.97% to 150.73%. The values (except V, Co and Se as they were close to the LOQ) were in accordance with the methods’ performance criteria recommended by INMETRO (2011) [53] in which the expected accuracy must be between 80–120%. The result was consistent with similar methods in the literature. Freire et al. [54] reported a recovery of 78–111% for trace elements extracted from freeze-dried urine standard reference material using a sample preparation method consisting of acidification with nitric acid and Triton X-100. In another acid digestion procedure for the determination of trace element contents in urine, recoveries of 87–116% were reported in urine reference material, respectively [55]. Moreover, trace elements in urine have been extracted and digested using a microwave system. For example, Yang Z et al., reported recoveries of between 81–107% for Al, V, Cr, Mn, Co, Cu, Cd, Sn, Ba, TI, and Pb as determined by ICP-MS [56]. Soubhia et al. [57] obtained Cr, Mn, Cu, As, Mo, Cd, Tl, Pb accuracy and repeatability results similar to this work. Repeatabilities for the intra- and inter-day values vary significantly amongst working groups and methods used. Marco and Hernandez-Caraballo reported repeatability values between 10–25% for V, Cr, Mn, Fe, Co, Cd, Zn, As and Se [58]. Minich et al. defined a smaller range of 3–9% for their method validation [59]. Nevertheless, we showed inter-day and intra-day repeatabilities (Cv) for all elements below 13% with our method. Regarding the results of the internal quality control, the measured values are in good agreement with the declared values of the control material from SeronormTM (Sero AS, Billingstad, Norway), as indicated in Table 4.

3.7. External Quality Assurance

Well-validated and checked methods are essential if used to determine an abnormal amount of trace elements in the human body. Therefore, participation in a recognized external quality assurance has several benefits, including information on the relative performance of different methods, and knowledge about one’s own ability to perform tests and report results accurately. Doing so also gains the confidence of clinicians and patients [60]. We partook in an external quality assurance using our method given the extensive benefits—including timesaving, low material costs, using only a micro volume of sample, and good accuracy and repeatability values—of our new method in comparison to other published methods, as shown in Table 8. A batch of ten analytes was tested during the INSTAND interlaboratory comparative program of the Institute for Standardization and Documentation in Clinical Laboratories.
Laboratories partake in external quality assessment or proficiency testing schemes in order to evaluate the quality of their results and to fulfil accreditation requirements. Moreover, in some jurisdictions, it is mandated by law to participate in external quality assessments to guarantee a high standard of analysis and credibility with health authorities [61,62]. External quality assurance assessment scheme results for ten analytes are listed in Table 8. The measured and recommended concentrations are in good agreement with the interlaboratory comparative program of the Institute for Standardization and Documentation in Clinical Laboratories. This satisfactory correspondence was also found for extremely low concentrations (Cd value 1.02 μg L−1) as well as very high concentrations (Zn value 0.43 mg L−1) in urine. The results from the external quality assurance program demonstrate that the described method is valid for the quantification of the elements in urine, requiring a simple one-step dilute and shot method using ICP-MS.

4. Conclusions

The main goal of the work described above was to provide a simple, fast, inexpensive, sensitive, reliable and non-time-consuming method for the determination of essential and non-essential trace elements in urine using a micro volume of sample. To assess this, a suite of sixteen (Al, V, Cr, Mn, Fe, Co, Cu, Zn, As, Se, Mo, Cd, Sn, Ba, TI and Pb) trace elements—which play an important role in the context of chelation therapy and heavy metal discharge—were selected. After all conditions had been established, measurements became very efficient. After the subsequent participation in an external quality assessment, we can conclude that our method is suitable for detecting a lack or an overload of the mentioned trace elements. Moreover, its advantage to other reported methods lies in the speed, robustness and simplicity of the former. This method is also suitable for routine analysis and diagnosis in infants and newborns since it uses only micro amounts of urine.

Author Contributions

Conceptualization, H.-P.D. and R.K.; methodology, N.L.; software, N.L.; validation, N.L.; formal analysis, N.L.; investigation, N.L.; resources, H.-P.D. and R.K.; data curation, N.L. and L.K.; writing—original draft preparation, N.L. and H.-P.D.; writing—review and editing, L.K. and H.-P.D.; visualization, N.L.; supervision, H.-P.D. and R.K.; project administration, H.-P.D.; funding acquisition, N.L. All authors have read and agreed to the published version of the manuscript.

Funding

Funding from the Institute of Precision Medicine; the Federal Ministry of Science, Research and Art of Baden-Württemberg, Germany (researchership for L.K.); and the Institute for Applied Research (IAF), Furtwangen University (VS-Schwenningen, Germany) is gratefully acknowledged. The article processing charge was funded by the Baden-Württemberg Ministry of Science, Research, and Culture and the Furtwangen University in the funding program Open Access Publishing.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in this article.

Acknowledgments

The authors gratefully thank Fungisai Matemadombo for proofreading and for constructive criticism of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kruse, J.A. Clinical Methods: The History, Physical, and Laboratory Examinations. JAMA 1990, 264, 2808. [Google Scholar] [CrossRef]
  2. Sears, M.E. Chelation: Harnessing and Enhancing Heavy Metal Detoxification—A Review. Sci. World J. 2013, 2013, 1–13. [Google Scholar] [CrossRef] [Green Version]
  3. Gallieni, M.; Brancaccio, D.; Cozzolino, M.; Sabbioni, E. Trace elements in renal failure: Are they clinically important? Nephrol. Dial. Transplant. 1996, 11, 1232–1235. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Shahbazian, H.; Absalan, A.; Jalali, M.T.; Mastipour, F.; Kaydani, G.A.; Zayeri, Z.D. Comparison of zinc, copper, selenium, magnesium, aluminium and lead blood concentrations in end-stage renal disease patients and healthy volunteers in Ahvaz, southwest of Iran. Russ. Open Med. J. 2018, 7, e0105. [Google Scholar] [CrossRef]
  5. Thomson, N.M.; Stevens, B.J.; Humphery, T.J.; Atkins, R.C. Comparison of trace elements in peritoneal dialysis, hemodialysis, and uremia. Kidney Int. 1983, 23, 9–14. [Google Scholar] [CrossRef] [Green Version]
  6. Dashtizadeh, M.; Kamani, H.; Ashrafi, S.D.; Panahi, A.H.; Mahvi, A.H.; Balarak, D.; Hoseini, M.; Ansari, H.; Bazrafshan, E.; Parsafar, F. Human health risk assessment of trace elements in drinking tap water in Zahedan city, Iran. J. Environ. Health Sci. Eng. 2019, 17, 1163–1169. [Google Scholar] [CrossRef] [PubMed]
  7. Bocca, B.; Ruggieri, F.; Pino, A.; Rovira, J.; Calamandrei, G.; Mirabella, F.; Martínez, M.Á.; Domingo, J.L.; Alimonti, A.; Schuhmacher, M. Human biomonitoring to evaluate exposure to toxic and essential trace elements during pregnancy. Part B: Predictors of exposure. Environ. Res. 2020, 182, 109108. [Google Scholar] [CrossRef]
  8. Jin, J.; Mulesa, L.; Rouillet, M.C. Trace Elements in Parenteral Nutrition: Considerations for the Prescribing Clinician. Nutrients 2017, 9, 440. [Google Scholar] [CrossRef]
  9. Burjonrappa, S.C.; Miller, M. Role of trace elements in parenteral nutrition support of the surgical neonate. J. Pediatr. Surg. 2012, 47, 760–771. [Google Scholar] [CrossRef] [PubMed]
  10. Guendouzi, Y.; Soualili, D.L.; Fowler, S.W.; Boulahdid, M. Environmental and human health risk assessment of trace metals in the mussel ecosystem from the Southwestern Mediterranean. Mar. Pollut. Bull. 2020, 151, 110820. [Google Scholar] [CrossRef]
  11. Hu, Y.; Xiao, T.; Wang, Q.; Liang, B.; Zhang, A. Effects of Essential Trace Elements and Oxidative Stress on Endemic Arsenism Caused by Coal Burning in PR China. Biol. Trace Elem. Res. 2020, 198, 25–36. [Google Scholar] [CrossRef]
  12. Diaz, D.; Fonseca, V.; Aude, Y.W.; Lamas, G.A. Chelation therapy to prevent diabetes-associated cardiovascular events. Curr. Opin. Endocrinol. Diabetes Obes. 2018, 25, 258–266. [Google Scholar] [CrossRef] [PubMed]
  13. Mathew, R.O.; Schulman-Marcus, J.; Nichols, E.L.; Newman, J.D.; Bangalore, S.; Farkouh, M.; Sidhu, M.S. Chelation Therapy as a Cardiovascular Therapeutic Strategy: The Rationale and the Data in Review. Cardiovasc. Drugs Ther. 2017, 31, 619–625. [Google Scholar] [CrossRef] [PubMed]
  14. James, S.; Stevenson, S.W.; Silove, N.; Williams, K. Chelation for autism spectrum disorder (ASD). Cochrane Database Syst. Rev. 2015, 5, CD010766. [Google Scholar] [CrossRef] [PubMed]
  15. Dusek, P.; Schneider, S.A.; Aaseth, J. Iron chelation in the treatment of neurodegenerative diseases. J. Trace Elem. Med. Biol. 2016, 38, 81–92. [Google Scholar] [CrossRef] [PubMed]
  16. Pal, S.; Mondal, S.; Mukherjee, R.; Maity, J. Removal of Heavy Metals from the Body System by Chelation Therapy. Nanomed. Nanotechnol. J. 2018, 2, 120. [Google Scholar]
  17. Exley, C. The toxicity of aluminium in humans. Morphologie 2016, 100, 51–55. [Google Scholar] [CrossRef]
  18. Demirkaya, K.; Demirdöğen, B.C.; Torun, Z.Ö.; Erdem, O.; Çırak, E.; Tunca, Y.M. Brain aluminium accumulation and oxidative stress in the presence of calcium silicate dental cements. Hum. Exp. Toxicol. 2017, 36, 1071–1080. [Google Scholar] [CrossRef]
  19. Tripathi, D.; Mani, V.; Pal, R.P. Vanadium in Biosphere and Its Role in Biological Processes. Biol. Trace Elem. Res. 2018, 186, 52–67. [Google Scholar] [CrossRef]
  20. Rehder, D. The role of vanadium in biology. Metallomics 2015, 7, 730–742. [Google Scholar] [CrossRef] [Green Version]
  21. Okereafor, U.; Makhatha, M.; Mekuto, L.; Uche-Okereafor, N.; Sebola, T.; Mavumengwana, V. Toxic Metal Implications on Agricultural Soils, Plants, Animals, Aquatic life and Human Health. Int. J. Environ. Res. Public Health 2020, 17, 2204. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Chen, P.; Bornhorst, J.; Aschner, M. Manganese metabolism in humans. Front. Biosci 2018, 1, 1655–1679. [Google Scholar] [CrossRef] [Green Version]
  23. Smith, L.J.; Holmes, A.L.; Kandpal, S.K.; Mason, M.D.; Zheng, T.; Wise, J.P. The cytotoxicity and genotoxicity of soluble and particulate cobalt in human lung fibroblast cells. Toxicol. Appl. Pharmacol. 2014, 278, 259–265. [Google Scholar] [CrossRef]
  24. Leyssens, L.; Vinck, B.; Van Der Straeten, C.; Wuyts, F.; Maes, L. Cobalt toxicity in humans—A review of the potential sources and systemic health effects. Toxicology 2017, 387, 43–56. [Google Scholar] [CrossRef]
  25. Nishito, Y.; Kambe, T. Absorption Mechanisms of Iron, Copper, and Zinc: An Overview. J. Nutr. Sci. Vitaminol. 2018, 64, 1–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Palumaa, P. Copper chaperones. The concept of conformational control in the metabolism of copper. FEBS Lett. 2013, 587, 1902–1910. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Olechnowicz, J.; Tinkov, A.; Skalny, A.; Suliburska, J. Zinc status is associated with inflammation, oxidative stress, lipid, and glucose metabolism. J. Physiol. Sci. 2017, 68, 19–31. [Google Scholar] [CrossRef] [Green Version]
  28. Sieniawska, C.E.; Jung, L.C.; Olufadi, R.; Walker, V. Twenty-four-hour urinary trace element excretion: Reference intervals and interpretive issues. Ann. Clin. Biochem. 2012, 49, 341–351. [Google Scholar] [CrossRef]
  29. Komaromy-Hiller, G.; Ash, K.O.; Costa, R.; Howerton, K. Comparison of representative ranges based on U.S. patient popu-lation and literature reference intervals for urinary trace elements. Clin. Chim. Acta 2000, 296, 71–90. [Google Scholar] [CrossRef]
  30. Tietz, N.W. (Ed.) Clinical Guide to Laboratory Tests, 3rd ed.; W.B. Saunders: Philadelphia, PA, USA, 1995. [Google Scholar]
  31. Iyengar, G.V. Reevaluation of the trace element content in Reference Man. Radiat. Phys. Chem. 1998, 51, 545–560. [Google Scholar] [CrossRef]
  32. Wilschefski, S.C.; Baxter, M.R. Inductively Coupled Plasma Mass Spectrometry: Introduction to Analytical Aspects. Clin. Biochem. Rev. 2019, 40, 115–133. [Google Scholar] [CrossRef] [PubMed]
  33. Li, S.; Zhao, H.; Wang, Y.; Shao, Y.; Liu, J.; Xing, M. Arsenic-induced cardiotoxicity correlates with mitochondrial damage and trace elements imbalance in broiler chickens. Poult. Sci. 2018, 98, 734–744. [Google Scholar] [CrossRef]
  34. Alamolhodaei, N.S.; Shirani, K.; Karimi, G. Arsenic cardiotoxicity: An overview. Environ. Toxicol. Pharmacol. 2015, 40, 1005–1014. [Google Scholar] [CrossRef] [PubMed]
  35. Maret, W.; Moulis, J.-M. The Bioinorganic Chemistry of Cadmium in the Context of Its Toxicity. Met. Ions Life Sci. 2013, 11, 1–29. [Google Scholar] [PubMed]
  36. Clemens, S.; Ma, J.F. Toxic Heavy Metal and Metalloid Accumulation in Crop Plants and Foods. Annu. Rev. Plant Biol. 2016, 67, 489–512. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Choe, K.-Y.; Gajek, R. Determination of trace elements in human urine by ICP-MS using sodium chloride as a matrix-matching component in calibration. Anal. Methods 2016, 8, 6754–6763. [Google Scholar] [CrossRef]
  38. Moore, R.E.T.; Rehkämper, M.; Kreissig, K.; Strekopytov, S.; Larner, F. Determination of major and trace element variability in healthy human urine by ICP-QMS and specific gravity normalisation. RSC Adv. 2018, 8, 38022–38035. [Google Scholar] [CrossRef] [Green Version]
  39. Heitland, P.; Köster, H.D. Fast, simple and reliable routine determination of 23 elements in urine by ICP-MS. J. Anal. At. Spectrom. 2004, 19, 1552–1558. [Google Scholar] [CrossRef]
  40. May, T.W.; Wiedmeyer, R.H. A Table of Polyatomic Interferences in ICP-MS; ASPND7; Atomic Spectroscopy Press Ltd.: Hong Kong, China, 1998; Volume 19, pp. 143–186. ISSN 0195-5373. [Google Scholar]
  41. Welna, M.; Szymczycha-Madeja, A.; Pohl, P. Quality of the Trace Element Analysis: Sample Preparation Steps. In Wide Spectra of Quality Control; IntechOpen: Rijeka, Croatia, 2011. [Google Scholar] [CrossRef] [Green Version]
  42. Chiu, M.L.; Lawi, W.; Snyder, S.T.; Wong, P.K.; Liao, J.C.; Gau, V. Matrix Effects—A Challenge Toward Automation of Molecular Analysis. J. Assoc. Lab. Autom. 2010, 15, 233–242. [Google Scholar] [CrossRef]
  43. Burden, T.J.; Whitehead, M.W.; Thompson, R.P.H.; Powell, J.J. Preparation of urine samples for trace metal de-termination: A study with aluminium analysis by inductively coupled plasma optical emission spectrometry. Ann. Clin. Biochem. 1998, 35, 245–253. [Google Scholar] [CrossRef] [PubMed]
  44. Heitland, P.; Köster, H.D. Biomonitoring of 30 trace elements in urine of children and adults by ICP-MS. Clin. Chim. Acta 2006, 365, 310–318. [Google Scholar] [CrossRef]
  45. Bornhorst, J.A.; Hunt, J.W.; Urry, F.M.; McMillin, G.A. Comparison of Sample Preservation Methods for Clinical Trace Element Analysis by Inductively Coupled Plasma Mass Spectrometry. Am. J. Clin. Pathol. 2005, 123, 578–583. [Google Scholar] [CrossRef] [PubMed]
  46. Matusiewicz, H. Sample Preparation for Inorganic Trace Element Analysis. Phys. Sci. Rev. 2017, 2, 20178001. [Google Scholar] [CrossRef] [Green Version]
  47. ICH Guideline Q2(R1): Validation of Analytical Procedures: Text and Methodology, November 2005. Available online: https://www.gmp-navigator.com/guidelines/gmp-guideline/ich-q2r1-validation-of-analytical-procedures-text-and-methodology (accessed on 18 April 2021).
  48. Rambla-Alegre, M.; Esteve-Romero, J.; Carda-Broch, S. Is it really necessary to validate an analytical method or not? That is the question. J. Chromatogr. A 2012, 1232, 101–109. [Google Scholar] [CrossRef] [PubMed]
  49. The Commission of the European Communities. Commission Decision of 12 August 2002 implementing Council Directive 96/23/EC concerning the performance of analytical methods and the interpretation of results (2002/657/ EC). Off. J. Eur. Commun. 2002, L221, 8–36. [Google Scholar]
  50. Van Loco, J.; Elskens, M.; Croux, C.; Beernaert, H. Linearity of calibration curves: Use and misuse of the correlation coefficient. Accredit. Qual. Assur. 2002, 7, 281–285. [Google Scholar] [CrossRef]
  51. Armbruster, D.A.; Pry, T. Limit of Blank, Limit of Detection and Limit of Quantitation. Clin. Biochem. Rev. 2008, 29, S49. [Google Scholar]
  52. Batista, B.L.; Rodrigues, J.L.; Nunes, J.A.; Tormen, L.; Curtius, A.J.; Barbosa, F., Jr. Simultaneous determination of Cd, Cu, Mn, Ni, Pb and Zn in nail samples by inductively coupled plasma mass spectrometry (ICP-MS) after tetramethylammonium hydroxide solubilization at room temperature: Comparison with ETAAS. Talanta 2008, 76, 575–579. [Google Scholar] [CrossRef]
  53. Bokowski, L.V.; Sobrinho, R.B.; Armijo, C.J.; Dani, C.; Henriques, J.A.; Funchal, C. Method validation for determination of metals in Vitis labrusca L. grapevine leaf extracts by inductively coupled plasma mass spectrometry (ICP-MS). An. Acad. Bras. Ciências 2016, 88, 2247–2255. [Google Scholar] [CrossRef] [Green Version]
  54. Freire, B.M.; Pedron, T.; Lange, C.N.; Sanches, L.R.; Barcelos, G.R.M.; Filho, W.R.P.; Batista, B.L. Calibration for the determination of 19 trace elements in serum and urine. Toxicol. Environ. Chem. 2018, 100, 395–412. [Google Scholar] [CrossRef]
  55. Pruszkowski, E.; Neubauer, K. The Analysis of Urine for Trace Elements Using the NexION 2000 ICP-MS; Application Note, ICP—Mass Spectrometry; PerkinElmer Inc.: Shelton, CT, USA, 2017. [Google Scholar]
  56. Yang, Z.; Yu, A. Determination of Fifteen Trace Elements in Human Urine by Microwave Digestion Inductively Coupled Plasma Mass Spectrometry. Anal. Test. Technol. Instrum. 2003, 2, 98–100. [Google Scholar]
  57. Soubhia, P.C.; De Capitani, E.M.; Tiglea, P. Multi-Element Analysis of Some Toxic Metals in Urine using Quadrupole ICP-MS. Asian J. Chem. Pharm. Sci. 2017, 2, 17–26. [Google Scholar] [CrossRef] [Green Version]
  58. Marco, P.L.M.; Hernandez Caraballo, E.A. Direct analysis of biological samples by total reflection X-ray fluorescence. Spectrochim. Acta B 2004, 59, 1077. [Google Scholar] [CrossRef]
  59. Minnich, M.G.; Mille, D.C.; Parsons, P.J. Determination of As, Cd, Pb, and Hg in urine using inductively coupled plasma mass spectrometry with the direct injection high efficiency nebulizer. Spectrochim. Acta B 2008, 63, 389. [Google Scholar] [CrossRef]
  60. Matson, P.L. Internal quality control and external quality assurance in the IVF laboratory. Hum. Reprod. 1998, 13, 156–165. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. International Standards Organization. ISO—Medical Laboratories: Particular Requirements for Quality and Competence; International Organization for Standardization: Geneva, Switzerland, 2003. [Google Scholar]
  62. U.S. Public Health Service; U.S. Health Care Financing Administration. Medicare, Medicaid, and Clinical Laboratories Improvement Act (CLIA) patient confidentiality rules; proposed rule. Fed. Regist. 1988, 53, 10404–10406. [Google Scholar]
Table 1. Element concentration ranges that may be found in urine.
Table 1. Element concentration ranges that may be found in urine.
ElementPhysiological Ranges
(µg L−1)
Reference
Al<22.00[28]
V<16.15[28]
Cr0.49–6.70[29]
Mn<7.80[28]
Fe<70.00[30]
Co0.77–4.40[28]
Cu29.99–59.99[31]
Zn310.73–468.64[31]
As<70.00[29]
Se12.16–52.67[28]
Mo19.95–28.97[31]
Cd1.00–4.90[31]
Sn0.99–2.00[31]
Ba<3.99[31]
Tl0.10–1.00[31]
Pb<2072[32]
Table 2. ICP-MS operating conditions.
Table 2. ICP-MS operating conditions.
Operating ConditionValue
Extract 2−240 V
Omega Bias−90 V
Omega Lens7.6 V
Deflect−1.6 V
He flow4.3 mL min−1
H2 flow6.0 mL min−1
OctP RF200 V
Forward Power1550 W
Auxiliary gas flow0.9 L min−1
Nebulizer gas flow1.0 L min−1
Nebulizer typeMicroMist
Sample introductionPeriPump
Ion lensx-Lens
Replicates3
Table 3. ICP-MS system acquisition parameters.
Table 3. ICP-MS system acquisition parameters.
Integration m/z
MassElementNo Gas ModeHe ModeH2 Mode
27Al-0.500-
51V-0.500-
52Cr-0.500-
55Mn0.100--
56Fe--0.500
59Co-0.500-
63Cu-0.500-
66Zn-0.500-
75As-0.500-
78Se--0.500
95Mo0.100--
103Rh0.1000.5000.500
111Cd-0.500-
118Sn0.100--
137Ba0.100--
193Ir0.1000.3000.500
205TI0.100--
208Pb0.100--
Table 4. Internal quality control evaluation.
Table 4. Internal quality control evaluation.
Concentration Levels for the Internal Quality Control
Lower Level Upper Level
ElementObtained Value (µg L−1)Acceptance Range (µg L−1)Obtained Value (µg L−1)Acceptance Range (µg L−1)
Al7.506.00–9.00100.0085.00–115.00
V0.130.10–0.1523.1018.40–27.70
Cr7.706.20–9.30 30.4027.70–33.20
Mn0.330.26–0.409.307.40–11.20
Fe4.203.40–5.0061.0048.80–73.30
Co0.190.15–0.2312.8010.20–15.30
Cu26.0024.00–28.0061.0048.80–73.30
Zn171.00136.00–205.001179.00984.00–1374.00
As97.0077.00–116.00198.00173.00–223.00
Se10.508.40–12.6066.2051.90–80.40
Mo17.0013.60–20.4073.8068.10–79.50
Cd0.620.49–0.744.703.70–5.60
Sn2.401.90–2.8046.0036.80–55.30
Ba3.60N/A21.50N/A
Tl0.110.10–0.118.406.87–10.00
Pb1.511.20–1.8178.4070.40–86.40
N/A not available.
Table 5. Linearity, slope and validation range of urine analytes.
Table 5. Linearity, slope and validation range of urine analytes.
AnalyteValidation Range (µg L−1)R2Slope
Al11.33–87.100.99251.0068
V6.93–50.900.99540.9899
Cr1.35–19.900.99550.9469
Mn2.77–19.900.99530.9418
Fe21.45–222.000.99650.9469
Co0.68–34.300.99310.9102
Cu18.87–111.000.99611.0062
Zn68.67–531.000.99361.0386
As14.50–82.300.99850.9701
Se11.60–89.300.981.0151
Mo7.97–99.300.99881.0077
Cd0.82–14.300.99990.889
Sn1.71–10.000.99820.954
Ba3.60–51.300.99840.9716
TI2.27–17.700.99880.8703
Pb9.17–54.400.99260.9593
Table 6. Limit of detection (LOD) and limit of quantification (LOQ) of the method performed in this study.
Table 6. Limit of detection (LOD) and limit of quantification (LOQ) of the method performed in this study.
AnalyteLOD (µg L−1)LOQ (µg L−1)
Al7.9023.94
V2.778.41
Cr0.290.87
Mn0.722.17
Fe5.5016.65
Co2.186.60
Cu3.8311.61
Zn10.4831.75
As2.427.34
Se3.5610.80
Mo1.053.19
Cd0.110.33
Sn0.220.66
Ba0.421.28
Tl0.461.39
Pb4.1912.69
Table 7. Results of the accuracy, intra- and inter-day assay for the validated method.
Table 7. Results of the accuracy, intra- and inter-day assay for the validated method.
AnalyteTheoretical Concentration (µg L−1)Measured Concentration (µg L−1) ± SDAccuracy (%) ± SDIntra-Day Cv (%)Inter-Day Cv (%)
Al11.339.49 ± 0.58119.39 ± 7.194.286.06
17.0015.66 ± 1.43109.34 ± 10.623.949.22
34.0035.38 ± 1.1596.09 ± 3.145.503.26
43.5547.87 ± 1.7190.97 ± 3.195.523.58
87.1085.59 ± 2.51101.77 ± 2.935.162.93
V6.935.77 ± 0.23120.17 ± 5.043.334.06
10.409.09 ± 0.52114.42 ± 3.701.695.72
20.8019.00 ± 1.28109.49 ± 3.1912.326.72
25.4521.80 ± 0.95116.77 ± 5.220.834.37
50.9049.15 ± 4.04103.56 ± 9.114.228.23
Cr1.351.23 ± 0.08109.24 ± 7.05 9.506.35
2.022.06 ± 0.0898.13 ± 3.705.543.69
4.044.05 ± 0.1399.86 ± 3.1912.903.15
9.959.38 ± 0.43106.13 ± 4.984.894.55
19.9018.90 ± 0.22105.30 ± 1.253.311.18
Mn2.772.66 ± 0.01104.28 ± 0.3610.730.35
4.164.33 ± 0.2496.00 ± 5.436.495.57
8.328.37 ± 0.1799.39 ± 1.942.861.99
9.959.39 ± 0.22105.95 ± 2.390.812.30
19.9018.84 ± 1.29105.65 ± 7.610.346.85
Fe14.3013.20 ± 1.23108.30 ± 10.730.169.33
21.4521.87 ± 3.9998.10 ± 9.302.7810.42
42.9044.89 ± 0.7195.56 ± 1.497.991.58
111.00103.58 ± 10.75107.16 ± 2.274.016.68
222.00211.78 ± 14.15104.83 ± 7.321.629.33
Co0.680.45 ± 0.07150.73 ± 2.731.6412.93
1.020.87 ± 0.09116.19 ± 3.456.4710.20
2.031.88 ± 0.15107.98 ± 6.831.388.65
17.1515.36 ± 0.46111.65 ± 4.262.063.40
34.3031.64 ± 3.99108.41 ± 6.1210.9812.63
Cu18.8716.53 ± 0.39114.16 ± 2.676.492.35
28.3025.59 ± 1.92110.58 ± 8.511.877.51
55.5050.23 ± 2.39110.48 ± 2.200.982.11
56.6054.14 ± 1.14104.54 ± 5.333.224.76
111.00108.08 ± 5.20102.70 ± 5.114.484.82
Zn68.6764.22 ± 23.97106.93 ± 12.724.0112.48
103.0091.27 ± 23.42112.85 ± 2.680.572.81
206.00196.12 ± 9.69105.04 ± 5.372.834.94
265.50261. 35 ± 11.56101.59 ± 4.641.084.42
531.00534.99 ± 1.6399.25 ± 0.300.880.31
As14.5012.16 ± 0.79119.29 ± 7.529.586.48
21.7520.15 ± 0.64107.93 ± 3.384.063.20
41.1537.54 ± 1.36109.61 ± 4.533.544.23
43.5041.60 ± 1.76104.58 ± 3.910.933.63
82.3077.88 ± 0.90105.68 ± 1.230.961.15
Se11.606.83 ± 0.32128.73 ± 7.891.594.71
17.4015.12 ± 0.37115.04 ± 2.815.022.44
34.8033.07 ± 0.68105.24 ± 2.123.002.04
44.6542.11 ± 3.19106.04 ± 8.51 3.847.59
89.3085.32 ± 3.90104.67 ± 4.641.304.57
Mo7.977.74 ± 0.36102.87 ± 4.9410.164.71
11.9511.53 ± 0.66103.64 ± 5.743.955.68
23.9023.17 ± 1.66103.16 ± 7.229.707.17
49.6548.68 ± 1.11102.00 ± 2.321.062.28
99.3099.51 ± 1.9999.78 ± 2.013.332.00
Cd0.820.73 ± 0.11115.22 ± 10.529.8510.12
1.241.07 ± 0.14114.30 ± 7.541.3812.86
2.472.19 ± 0.04112.65 ± 1.899.081.69
7.156.43 ± 0.44111.11 ± 7.346.936.77
14.3012.68 ± 0.35108.37 ± 3.125.792.76
Sn1.711.51 ± 0.08114.02 ± 6.477.655.41
2.572.17 ± 0.11118.50 ± 6.103.545.24
5.004.39 ± 0.31109.16 ± 8.051.767.70
5.144.71 ± 0.36113.82 ± 8.278.367.13
10.009.23 ± 0.71108.37 ± 8.863.667.69
Ba3.603.44 ± 0.24104.64 ± 7.045.747.08
5.405.48 ± 0.1398.58 ± 2.301.662.32
10.8010.31 ± 0.27104.73 ± 2.817.132.64
25.6524.72 ± 0.86103.74 ± 3.620.893.47
51.3049.81 ± 2.65102.99 ± 5.382.795.33
TI2.272.18 ± 0.05103.89 ± 2.170.952.13
3.403.15 ± 0.04107.93 ± 1.405.111.30
6.806.16 ± 0.26110.31 ± 4.640.974.26
8.857.57 ± 0.17113.84 ± 2.672.902.27
17.7015.61 ± 0.34113.41 ± 2.472.732.20
Pb9.177.80 ± 0.33117.56 ± 5.165.594.34
13.7511.51 ± 1.05119.46 ± 2.162.009.23
27.2022.17 ± 1.16105.55 ± 3.841.623.72
27.5026.05 ± 0.97105.56 ± 6.235.195.21
54.4050.38 ± 6.06107.99 ± 5.971.3712.04
Table 8. Results of the external quality assessment.
Table 8. Results of the external quality assessment.
AnalyteSampleUnitMeasured ValueTheoretical ValueLower LimitUpper LimitDeviation (%)Z-ScoreCriteria Fulfilled
Al61µg L−126.9032.0020.543.50−16.10−1.03+
6249.6063.6040.7086.50−22.00−1.31+
Cr61µg L−14.755.093.266.92−6.70−0.80+
622.372.681.723.65−11.60−0.94+
Mn61µg L−110.309.896.3313.504.000.41+
622.482.731.753.71−9.20−0.59+
Fe61µg L−10.20--<33.00-−0.86+
62750749479.001019.000.0110.01+
Co61µg L−11.291.470.942.00−12.20−1.57+
622.542.851.823.88−10.90−1.35+
Cu61µg L−167.5067.6043.3091.90−0.10−0.01+
625.706.364.078.65−10.40−0.34+
Zn61mg L−10.420.430.270.58−1.10−0.11+
620.120.120.070.160.300.02+
As61µg L−175.6079.3050.80108.00−4.60−0.79+
6221.9023.3014.9031.70−6.00−0.86+
Cd61µg L−13.384.953.176.73−3.90−3.90+
620.681.020.651.39−2.60−2.60+
Pb61µg L−143.5048.6031.1066.10−10.50−1.02+
62139.00149.0095.40203.00−6.80−0.72+
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Laur, N.; Kaiser, L.; Deigner, H.-P.; Kinscherf, R. Sequential Analysis of Trace Elements in a Micro Volume Urine Sample Using Inductively Coupled Plasma Mass Spectrometry. Appl. Sci. 2021, 11, 3740. https://doi.org/10.3390/app11093740

AMA Style

Laur N, Kaiser L, Deigner H-P, Kinscherf R. Sequential Analysis of Trace Elements in a Micro Volume Urine Sample Using Inductively Coupled Plasma Mass Spectrometry. Applied Sciences. 2021; 11(9):3740. https://doi.org/10.3390/app11093740

Chicago/Turabian Style

Laur, Nico, Lars Kaiser, Hans-Peter Deigner, and Ralf Kinscherf. 2021. "Sequential Analysis of Trace Elements in a Micro Volume Urine Sample Using Inductively Coupled Plasma Mass Spectrometry" Applied Sciences 11, no. 9: 3740. https://doi.org/10.3390/app11093740

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop