Next Article in Journal
Influence of Thermomechanical Treatment and Ratio of β-Lactoglobulin and α-Lactalbumin on the Denaturation and Aggregation of Highly Concentrated Whey Protein Systems
Next Article in Special Issue
Molecular Properties of Flammulina velutipes Polysaccharide–Whey Protein Isolate (WPI) Complexes via Noncovalent Interactions
Previous Article in Journal
Pre-Fermentation Water Addition to High-Sugar Shiraz Must: Effects on Wine Composition and Sensory Properties
Previous Article in Special Issue
Characterization of Whey-Based Fermented Beverages Supplemented with Hydrolyzed Collagen: Antioxidant Activity and Bioavailability
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Foods
Volume 9
Issue 9
10.3390/foods9091195
foods-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Impact of Different Factors on the Quality and Volatile Organic Compounds Profile in “Bryndza” Cheese

by
Jana Štefániková
1,*,
Viera Ducková
2,
Michal Miškeje
1,
Miroslava Kačániová
3,4 and
Margita Čanigová
2
1
AgroBioTech Research Centre, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia
2
Department of Technology and Quality of Animal Products, Faculty of Biotechnology and Food Sciences, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia
3
Department of Fruit Science, Viticulture and Enology, Faculty of Horticulture and Landscape Engineering, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia
4
Department of Bioenergy, Food Technology and Microbiology, Institute of Food Technology and Nutrition, University of Rzeszow, Cwiklinkiej 1, 35601 Rzeszow, Poland
*
Author to whom correspondence should be addressed.
Foods 2020, 9(9), 1195; https://doi.org/10.3390/foods9091195
Submission received: 31 July 2020 / Revised: 20 August 2020 / Accepted: 27 August 2020 / Published: 29 August 2020
(This article belongs to the Special Issue Cheese and Whey)
Browse Figure
Versions Notes

Abstract

:
The aim of this study was to evaluate the influence of different factors on the basic physicochemical and microbiological parameters, as well as volatile organic compounds of traditionally (farm) and industrially produced “bryndza” cheese. The samples were obtained from eight producers in different areas of Slovakia during the ewe’s milk production season, from May to September. The physicochemical parameters set by the legislation were monitored by reference methods. The “bryndza” cheese microbiota was determined by using the plate cultivation method. There was analysis of volatile organic compounds carried out by electronic nose, as well as gas chromatography mass spectrometry. Seasonality and production technology (traditional and industrial ones) are the main factors that affect the standard quality of “bryndza" cheese. Lactic acid bacteria were dominated from bacterial microbiota, mostly presumptive lactococci, followed presumptive lactobacilli and enterococci. The numbers of coliform bacteria were higher in traditionally produced “bryndza” cheese than in industrially produced “bryndza” cheese. The presence of Dipodascus geotrichum was detected in all samples. There were key volatile organic compounds such as ethyl acetate, isoamyl acetate, 2-butanone, hexanoic acid, D-limonene, and 2,3-butanedione. The statistically significant differences were found among “bryndza” cheese samples and these differences were connected with the type of milk and dairies.

1. Introduction

The traditional Slovak ewe’s milk product is “bryndza” cheese or local cheese “oštiepok” [1,2]. Slovak “bryndza" cheese is natural, white, spreadable cheese, and manufactured by the traditional method. It is recognized in the European Union by Protected Geographic Indication (PGI) status as cheese produced in specified mountainous regions of Slovakia [3], where unpasteurized ewe’s milk is processed immediately after milking by renneting at 29–31 °C for 30 min, using chymosin or chymosin–identical rennet [4], and the cheese grain is formed into the lump cheese. The lump cheese is drained at 18–22 °C for 24 h and is left to ripen for 3 days at 18–22 °C. The production process continues by further ripening at 12–15 °C for 7–10 days. Ripened ewe’s lump cheese is processed by removing the crust, pressed to remove whey and milled with salt solution (4–6% w/w), in order to obtain the specific creamy texture of “bryndza”. The mountainous regions of Slovakia differ in altitude, climate, geological, and vegetation profile and there are some scientific evidences about variability of “bryndza” cheese. There are several studies related to the variability of “bryndza” that are lack of common characteristics of this Slovak cheese [5]. Ewe’s cheese represents a matrix with a specific composition which reflected ewe’s milk, as well as different autochthonous non-starter lactic acid bacteria (NSLAB) that produce typical aroma profile of ewe’s lump cheese, barrelled ewe’s cheese and “bryndza” cheese [4,5]. Kacaniova et al. [6] identified 870 isolates from coliforms, enterococci, lactic acid bacteria (LAB) and yeasts in Slovak “bryndza” cheese by MALDI–TOF MS profiling. The most frequently identified species of gram-negative bacteria were Hafnia alvei and Klebsiella oxytoca. The most frequently identified species of gram-positive bacteria were Lactococcus lactis and Lactobacillus paracasei. LAB group was represented by Lactobacillus, Lactococcus and Pediococcus. Pangallo et al. [7] confirmed that microorganisms that belong to the species Galactomyces candidus and Yarrowia lipolitica as typical yeasts of “bryndza” cheese.
Numerous volatile organic compounds (VOCs) of cheese, including raw milk-based ewe’s cheese are formed by proteolysis and by the subsequent transformation of amino acids [8] to α-keto acids [9]. There has been two different major pathways of amino acid degradation identified in L. lactis [10] so far. The first pathway is initiated by an elimination reaction of methionine catalyzed by amino acid lyases, and leading to major sulfur aroma compounds [11,12]. The second pathway is initiated by a transamination reaction catalyzed by aminotransferases and resulting especially in volatile amino acids, branched chain amino acids and methionine [13,14]. The resulting α-ketoacids are then degraded to aldehydes, alcohols, carboxylic acids, esters, methanethiol and other sulfur compounds. The most of these compounds are produced by enzymatic degradation, but some of them are the result of chemical degradation in oxidation [15,16]. The characteristics of cheese (flavor, texture, and color) are influenced by the free fatty acids (FFAs) of the milk, the main products of enzymatic hydrolysis of triacylglycerides by esterases and lipases [17]. The goat and ewe’s milk contain high levels of short-and medium-chain fatty acids, in comparison with cow’s milk. Specifically, short-chain fatty acids are very important because of their low perception thresholds. Some studies point out that milk fatty acid content could be a distinguishing clue between breeds [18]. Partial lipolysis occurs in “bryndza” cheese during its ripening. Additionally, FFAs may participate in catabolic reactions and cause an increase in the amount of aroma compounds such as methyl ketones, esters, alkanes, lactones, aldehydes, and secondary alcohols [19].
VOCs are usually analyzed by gas chromatography (GC) after the extraction or pre-concentration of the volatile fraction. The most exhaustive methods for this purpose are high vacuum distillation (HVT), solvent-assisted aroma evaporation (SAFE) or solid phase microextraction (SPME) [20,21] combined with headspace. Sádecká et al. [20] used SPME with gas chromatography-olfactometry (GC–O) for the determination of volatile odorants in May “bryndza” cheese. There were 25 olfactometric responses from the groups of alcohols, aldehydes, esters, ketones, fatty acids, and hydrocarbons recorded, depending on the degree of cheese maturation and from a GC-O point of view. There was an electronic nose (e-nose) based on a gas chromatography used for aroma profile determination of soft, steamed cheese called “parenica” from Slovakia in a previous study [22].
The aim of this study was to obtain microbiological parameters and parallel information of principal VOCs in “bryndza” cheese produced by 8 Slovak producers with the use of e-nose and a GC-MS. The other goal was to prove a significant impact of the dairies and the type of milk on the content of VOCs in “bryndza” cheese.

2. Materials and Methods

2.1. Bryndza Cheese Samples

The samples of “bryndza” cheese were obtained from 8 different producers in Slovakia (B1–8) and detailed characteristics were got from the packages (Table 1). Bryndza cheese samples B1, B2, B4, B6, and B7 were produced in the farm dairies and the samples B3, B5, and B8 were produced in the industrial dairies. All samples were collected monthly from May 2019 to September 2019. Each sample (500 g) was transported to the laboratory at a temperature of 6 °C. There were physicochemical parameters, microbiological quality and volatile organic compounds within one day after the delivery determined in the representative samples. A total of 40 samples were analyzed.

2.2. Determination of Physicochemical Properties

Fat was determined according to ISO 3433:2008 [23], dry matter according to ISO 5534:2004 [24]. Fat in dry matter was determined by calculation. pH was determined by pH meter Orion Star A211 (Thermo scientific, Renfrew, UK). The analysis of all physicochemical parameters were replicated three times.

2.3. Microbiological Analysis

Ten grams of each sample from each cheese group were put into a sterile bag under aseptic conditions and homogenized in 90 mL of sterile peptone/saline solution (0.87%) for 2 min in a Stomacher bagmixer blender (Interscience, Saint-Nom-la-Bretèche, France). Decimal dilutions were prepared according to ISO 6887–5 (2010) [25].
Coliform bacteria (CB) were determined according to ISO 4832:2006 [26]. Yeasts and moulds (Y) were determined according to ISO 21527-1:2010 [27]. Presumptive lactobacilli (PLb) were determined by enumeration of colonies after anaerobic cultivation on de Man, Rogosa and Sharpe (MRS) agar (HiMedia, Maharashtra, India) for 72 h at the temperature of 37 °C. Presumptive lactococci (PL) were determined by enumeration of colonies after aerobic cultivation on M17 agar (HiMedia) for 72 h at the temperature of 30 °C. Enterococci (E) were determined by enumeration of colonies after aerobic cultivation on Bile Esculine Azide (BEA) agar (Biokar, Allonne, France) for 24 h at the temperature of 37 °C according to ISO 27205:2010 [28]. Microbial counts were performed in triplicate.

2.4. Analysis of Volatile Organic Compounds by Electronic Nose

The previously described electronic nose (e-nose) (Heracles II, Alpha M.O.S., Toulouse, France) method [22] was used for volatile organic compounds analysis. There was 2.5 g of sample incubated statically in a 20 mL vial in a thermostat block at the temperature of 50 °C for 15 min (Autosampler, Alpha M.O.S.) and 5 mL volume of the headspace gaseous compounds was withdrawn using a headspace autosampler syringe and dispensed into the e-nose injector for each analysis. The identification of the compounds was performed by matching the measured peaks with Kovats retention indices with NIST library (The National Institute of Standards and Technology library) (>50%) by software Alpha Soft V14 (Alpha M.O.S.). Each sample was weighed and placed in three different vials, each one was analyzed once.

2.5. Analysis of Volatile Organic Compounds by Gas Chromatography Mass Spectrometry

The head-space solid-phase microextraction (HS–SPME) method previously described [20] was used for sample extraction in a modified version. The amount of 2.5 g of sample was incubated statically in a 20 mL vial in a thermostat block at the temperature of 50 °C for 30 min (CombiPal automated sample injector 120, CTC Analytics AG, Zwingen, Switzerland), with an SPME fibre (1 cm; 50/30 µm DVB/CAR/PDMS) (Supelco, Bellefonte, PA, USA) placed in the CombiPal for each analysis. The fibre was initially conditioned by heating in the SPME Fiber Cleaning and Conditioning Station (placed in the CombiPal) at the temperature of 270 °C for 1 h. SPME extracts were desorbed in the GC injector at the temperature of 250 °C for 1 min and the fibre was cleaned in SPME Fiber Cleaning and Conditioning Station at 230 °C for 10 min.
The relative content (expressed in percentage) of samples was determined by gas chromatography mass spectrometry (GC 7890B–MS 5977A) (Agilent Technologies Inc., Santa Clara, CA, USA) equipped with column DB–WAXms (30 m × 0.32 mm × 0.25 µm; Agilent Technologies Inc., Santa Clara, CA, USA) operating with a temperature program and MS conditions [20]. The identification of compounds was carried out by comparing mass spectra (over 80% match) with a commercial database NIST® 2017, and Wiley library, retention times of reference standards (ethyl acetate, hexanoic acid and isoamyl alcohol) comparison of data on occurrence in cheese from Slovakia with literature [5,20,29]. The relative content of determined compounds was calculated by dividing individual peak area by the total area of all peaks. Peaks under 1% were not counted. Each sample was measured in triplicate.

2.6. Statistical Analysis

Compounds identified by e-nose with a discriminant D > 0.900 were selected as significant sensors, based on which the PCA (Principal Component Analysis) was made by Alpha Soft V14 (Alpha M.O.S.) software.
The STATGRAPHICS Centurion (© StatPoint Technologies, Inc., Warrenton, VA, USA) and GraphPad Prism 6.01 (GraphPad Software Incorporated, San Diego, CA, USA) were used for statistical physicochemical, microbiological and GC–MS analysis. The ANOVA method complemented by the Test of Tukey´s Multiple Comparison Test and unpair t-test with a value of p < 0.05 was applied.

3. Results

3.1. Physicochemical Properties of “Bryndza” Cheese

The results of the physicochemical parameters of “bryndza” cheese are shown in Table 2. The content of dry matter and fat in the dry matter are the parameters of bryndza cheese prescribed by the legislation [30]. The variability of “bryndza” cheese dry matter content ranged from 2.34% to 5.19% for farm dairies (B1, B2, B4, B6, B7) samples and from 2.37% to 5.52% for industrial dairies (B3, B5, B8) ones. Higher coefficients of variation were found in the parameter of fat in dry matter, which ranged from 1.75% to 7.98% in “bryndza” cheese from farm dairies and from 2.71% to 9.77% in samples from industrial dairies. Mixed “bryndza” cheese (B3, B8) samples had the lowest average fat content. The pH value of bryndza cheese as an indicator of ripening was more stable in “bryndza” cheese from industrial dairies (coefficient of variation ranged from 0.99% to 1.69%) than in “bryndza” cheese from farm dairies (coefficient of variation ranged from 1.22% to 3.82%).

3.2. Microbiological Quality

The counts of microorganisms in the analyzed “bryndza” cheese samples are in Table 3. The coliform bacteria in the “bryndza” cheese produced from pasteurized milk (producer B8) were < 1 log CFU/g. In contrast, the counts of coliform bacteria ranged from 3.46 to 6.78 log CFU/g in “bryndza” cheese produced from unpasteurized ewe’s milk.
Enterococci in the “bryndza” cheese from pasteurized milk reached an average value of 2.37 log CFU/g in the monitored period. Higher counts of enterococci were found in “bryndza” cheese from unpasteurized milk in the case of coliform bacteria than in “bryndza” cheese from pasteurized milk. The counts of enterococci in these samples ranged from 4.59 log CFU/g (“bryndza” cheese sample B5 was made from pasteurized cow’s milk and unpasteurized ewe’s milk) to 7.36 log CFU/g.
Presumptive lactococci were dominated microbiota of “bryndza” cheese. The counts ≥ 7.17 log CFU/g were found in all samples. The counts of presumptive lactobacilli in bryndza cheese from pasteurized milk reached levels 6.56 log CFU/g and from unpasteurized milk ≥ 7.73 log CFU/g.
Yeast counts varied from 4.65 log CFU/g to 6.62 log CFU/g. The differences between the counts of yeasts in “bryndza” cheese from unpasteurized and pasteurized milk are not as significant as in the case of other groups of monitored microorganisms. Species Dipodascus geotrichum (before Geotrichum candidum) was dominated yeast.

3.3. Analysis of VOC

The VOC of different chemical natures and varied sensory descriptors were separated by e-nose, based on head-space gas chromatography with a flame-ionization detector. The twenty VOCs were identified as sensors (markers) with D > 0.900 (Table 4). The aroma profiles of “bryndza” cheese were dominated by esters (7), aldehydes (4), alcohols (4), free fatty acids (2), ketones (2), and one monoterpene.
The dataset of e-nose was in the two-dimensional (2D) PCA plot. The first two principal components accounted for over 90% of total variance indicating that the first two PCs are sufficient enough to explain the total variance of the dataset. When the samples overlap or close to each other, it means they have a similar aroma as it is shown in Figure 1, 40 “bryndza” pieces of cheese from 8 producers divided into 5 groups according to the month of production in PC1 (76.25%). The samples from the May group were far away from the September group, which means that they have significantly different aromas and simultaneously, May and September groups of samples are surrounded by June, July, and August. In general, the PCA result suggested that the e-nose can properly characterize the samples of “bryndza” cheese.
Based on the qualitative analysis of HS–SPME/GC–MS results, a total of 24 VOCs were identified from “bryndza” cheese produced by 8 producers including alcohols (7), free fatty acids (6), esters (4), aldehydes and ketones (4), one monoterpene and one oxime in this study. Data in Table 5 shown the average chemical composition of samples produced during 2019 (from May to September). The compounds with the highest relative contents in “bryndza” were isoamyl alcohol (2.86–10.6%), acetoin (6.16–20.7%), acetic acid (7.42–11.3%), butanoic acid (ND–5.88%), and methoxy-phenyl-oxime (3.74–8.54%).
The six compounds identified by e-nose with a D > 0.900 with ethyl acetate, isoamyl acetate, 2-butanone, hexanoic acid, D-limonene, and 2,3-butanedione were confirmed by GC-MS in this study. Statistical analysis of variance was used to differentiate cheese by evaluation scores such as type of milk, and dairies (farm or industrial) (Table 5). Particularly type of milk had a significant influence on the amounts of identified VOC. The relative chemical composition (TIC% Area) of 2,3-butanediol, 1-methoxy 2-propanol, 2-butanol, acetoin, 2-butanone, acetic acid, octanoic acid, n-decanoic acid, ethyl acetate, isoamyl acetate, and phenyl-methoxy-oxime were not significantly influenced by type of milk or dairies. Statistical analysis by the Test of Tukey’s confirmed that TIC% Area of ten compounds was influenced by type of milk. The TIC% Area of β-phenyl ethanol, 2,3-butanedione, 2-phenetyl acetate, and D-limonene was significantly influenced by dairies (p ˂ 0.05).

4. Discussion

The quality of “bryndza” cheese is affected by many factors, such as the composition of used ewe’s and cow’s milk, the seasonality of ewe’s milk, or the microbiota of used starter culture [31,32,33]. “Bryndza” cheese must have a dry matter content at least 44 wt.% and fat in dry matter of ewe’s “bryndza” cheese should be at least 48 wt.% and in mixed “bryndza” cheese at least 38 wt.% [30].
The reason for fat, fat in dry matter and dry matter content fluctuation in “bryndza” cheese from farm dairies is that the fat content in milk is not standardized in the traditional production. It is known that the fat and dry matter content of ewe’s milk changes naturally during the season [34]. Industrial dairies also use cow’s milk to “bryndza” cheese production, which explains lower fat content in the “bryndza” cheese from these producers (B3 and B8). Most “bryndza” cheese samples from the industrial producer (B3) had lower dry matter content than it is in legislative requirements. The changes in the composition of ewe’s milk and in the produced lump cheese, as well during the season were also reflected in the sensory properties of “bryndza” cheese.
Coliform bacteria are considered as indicators of faecal contamination or poor hygienic conditions in obtaining and processing milk into cheese or low counts of competing LAB. The counts of LAB were high in the analyzed “bryndza” samples, therefore, the coliform bacteria counts indicate poor hygiene in milk processing into cheese. The exception is the counts of coliform bacteria in the “bryndza” cheese from farmers B1 and B2. The differences in the counts of coliform bacteria between “bryndza” cheese made from unpasteurized and pasteurized milk are in line with the results of other studies in this area [35]. Coliform bacteria in “bryndza” cheese have also been found by other authors [7,32,33].
Higher counts of enterococci were found in “bryndza” cheese samples made from unpasteurized ewe’s milk on farms. Some authors [36] even found higher counts of enterococci (8.0 log CFU/g) in “bryndza” cheese made from raw ewe’s milk in comparison with our results. In contrast, there are some results with very similar counts of enterococci (5.11–5.85 log CFU/g) in “bryndza” cheese made from raw and pasteurized milk in published studies [33]. The presence of enterococci in food may not always indicate faecal contamination, but rather, a violation of hygiene and sanitation principles. In the case of some food (cheese and fermented meat products), enterococci are added into them in a targeted way to improve organoleptic properties [37]. Enterococci and yeast in ewe’s cheese made from raw milk contribute to the formation of acetic acid esters [38].
Various genera and species of LAB are present in the microbiota of raw ewe’s milk. Their counts gradually increase during the production of lump cheese and “bryndza” cheese [7]. Starter culture, which is not so varied in genus and species, must be added into the milk after pasteurization to achieve lactic acidification. “Bryndza” cheese made from pasteurized milk may have lower counts of lactic acid bacteria, especially lactobacilli, as it is evidenced by our results and the works of other authors [32]. LAB break down lactose into lactic acid and various aroma compounds such as diacetyl, acetoin, acetaldehyde, or acetic acid [39]. However, they contribute very little to the lipolysis of milk fat. LAB cause the degradation of casein fractions into small peptides and free amino acids by the production of proteinases and peptidases. Amino acids can change into various alcohols, aldehydes, acids, esters, and sulfur compounds, which contribute to the specific aroma of the cheese [40].
Yeast is a natural microbiota of “bryndza” cheese and acts in the secondary stage of this cheese ripening. It is not surprising that the differences in yeast counts in “bryndza” cheese, made from raw and pasteurized milk, are minimal. Dipodascus geotrichum has a dominant position among yeasts in bryndza cheese. This type of yeast grows on the surface of the lump and breaks down lactates, milk fat (free fatty acids are released) and proteins (peptides and amino acids) [41,42]. Some strains of Dipodascus geotrichum are able to produce esters and various sulfur compounds, which contribute to the formation of a typical aroma and overall quality parameters of cheese [41].
LAB, enterococci, and yeasts Galactomyces candidus [6,7,32,43] play a key role in aroma development during cheese ripening. The VOCs are generated by the enzymatic degradation of amino acids in cheese, especially in cheese containing only LAB. The amino acid transamination is catalyzed by lactococci aminotransferases and this is the first step in the degradation of volatile and branched-chain amino acids, which are precursors of volatile organic compounds [44,45]. The resulting α-ketoacids are then degraded to aldehydes, alcohols, carboxylic acids, esters, methanethiol, and other sulfur compounds [46]. The seven compounds as 2-methyl propanol, ethyl acetate, ethyl butanoate, 2-butanone, isoamyl acetate, hexanoic acid, and butane-2,3-dione were identified in this study by e-nose and gas chromatography-olfactometry, as previously described in “bryndza” cheese from Slovakia [4,5,20,32]. Several of the identified compounds (ethyl acetate, 2-phenyl ethyl acetate, ethyl propanoate, 2-methyl-propanol, 2-phenyl ethanol, 2,3-butanediol, 3-hydroxy-2-butanone (acetoin), 3-methyl butanol, 2,3-butanedione, acetic, butanoic, pentanoic, and octanoic acids) are known to be components of different foreign ewe’s cheese as the Oscypek, Canestrato Pugliese, Fiore Sardo, Torta del Casar, Terrincho, Roncal, Manchego, Pecorino Romano [47,48,49]. Other identified compounds, benzaldehyde [13], 2,7-dimethyl-4,5-octanediol [50] were previously described as secondary metabolites by LAB. Passerini et al. [51] confirmed that strains of L. lactis with the citP gene and the citM-G cluster produced a larger amount of VOCs than the strains without this genetic information. Likewise, the quality differences in milk and dairy products from different grazing areas have been previously reported [52,53].
The terpenes composition (limonene, myrcene, carvone) of milk and cheese are directly transferred from ingested botanical species and free fatty acids (acetic, butanoic, pentanoic, octanoic, decanoic, and dodecanoic acids) can also be effective to trace animal management and feeding systems [54]. Fatty acids were the most abundant VOCs in the barrelled ewe’s cheese (intermediate product in the production of winter bryndza) from Slovakia [4] and in the raw ewes’ milk cheese Torta del Casar [47,48] or Feta cheese [52]. The free fatty acids are also precursors of methyl ketones, alcohols, lactones, and esters, so they may play an important role in the global aroma development of cheese [48]. The identified 2-methyl propanal was previously described [55] as milk aromas. The other compounds, n-butanol and methoxy-phenyl-oxime were previously identified in cheese produced from pasteurization milk fermented with cultures mixed (L. bulgaricus and Streptococcus thermophilus) and with Dregea sinensis Hemsl. protease [56].
The e-nose technology in this study can detect the fingerprint of VOCs present in the headspace of the “bryndza” sample and “parenica” cheese previously described [22] by means of a gas chromatography principle. There are several studies in which an e-nose method containing 10 metal-oxide semiconductors for characterization of the volatile profile of French cheese types [57], Danish blue cheese [58], or Pecorino cheese were used [59]. These mentioned works used e-nose with sensors and it could not determine and identify concrete VOCs and therefore there was a need to confirm the results by GC methods.

5. Conclusions

The composition, microbiological quality, as well as the production of volatile organic compounds, changed during the ewe’s milk season and “bryndza” cheese production by farm and industrial producers from Slovakia. The type of heat treatment of the milk, and the technology of the “bryndza” cheese production, also had an impact on the microbiological quality. There were coliform bacteria, enterococci, presumptive lactococci, presumptive lactobacilli, and yeasts detected. The key VOC were defined in “bryndza” cheese by e-nose and GC–MS. Based on the PCA result, the May samples had significantly different aromas, compared with the September samples.

Author Contributions

Conceptualization, J.Š. and M.Č.; methodology and laboratory analyses, J.Š., V.D., M.M., M.K. and M.Č.; data curation, V.D. and M.M.; writing—original draft preparation, J.Š., V.D., M.M., M.K. and M.Č.; writing—review and editing, J.Š., V.D. and M.Č. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the APVV–16–0244 grant “Qualitative factors affecting the production and consumption of milk and cheese”.

Acknowledgments

This study was supported by Research Center AgroBioTech built in accordance with the project Building Research Center “AgroBioTech” ITMS 26220220180 and to Operational Program Research and Innovation: “Support of research activities in the ABT RC, 313011T465, co-financed by the European Regional Development Fund”.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zajác, P.; Martišová, P.; Čapla, J.; Čurlej, J.; Golian, J. Characteristics of textural and sensory properties of Oštiepok cheese. Potr. Slovak J. Food Sci. 2019, 13, 116–130. [Google Scholar] [CrossRef] [Green Version]
  2. Šnirc, M.; Árvay, J.; Král, M.; Jančo, I.; Zajác, P.; Harangozo, Ľ.; Benešová, L. Content of mineral elements in the traditional Oštiepok cheese. Biol. Trace Elem. Res. 2020, 196, 639–645. [Google Scholar] [CrossRef]
  3. Commission Regulation (Ec) No 676/2008 of 16 July 2008 registering certain names in the Register of protected designations of origin and protected geographical indications (Ail de la Drôme (PGI), Všestarská cibule (PDO), Slovenská bryndza (PGI), Ajo Morado de Las Pedroñeras (PGI), Gamoneu or Gamonedo (PDO), Alheira de Vinhais (PGI), Presunto de Vinhais Or Presunto Bísaro de Vinhais (PGI)), L189. Off. J. Eur. Union 2008, 51, 19–20.
  4. Sádecká, J.; Šaková, N.; Pangallo, D.; Koreňová, J.; Kolek, E.; Puškárová, A.; Bučková, M.; Valík, L.; Kuchta, T. Microbial diversity and volatile odour-active compounds of barrelled ewes´ cheese as an intermediate product that determines the quality of winter bryndza cheese. LWT Food Sci. Technol. 2016, 70, 237–244. [Google Scholar] [CrossRef]
  5. Šaková, N.; Sádecká, J.; Lejková, J.; Puškárová, A.; Koreňová, J.; Kolek, E.; Valík, Ľ.; Kuchta, T.; Pangallo, D. Characterization of May bryndza cheese from various regions in Slovakia based on microbiological, molecular and principal volatile odorants examination. J. Food Nutr. Res. Slovak 2015, 54, 239–251. [Google Scholar]
  6. Kačániová, M.; Nagyová, Ľ.; Štefániková, J.; Felšöciová, S.; Godočiková, L.; Haščík, P.; Horská, E.; Kunová, S. Characterization of bryndza cheese from different regions of Slovakia based on microbiological quality. Potr. Slovak J. Food Sci. 2020, 14, 69–75. [Google Scholar] [CrossRef] [Green Version]
  7. Pangallo, D.; Šaková, N.; Koreňová, J.; Puškárová, A.; Kraková, L.; Valík, L.; Kuchta, T. Microbial diversity and dynamics durnig the production of May bryndza cheese. Int. J. Food Microbiol. 2014, 170, 38–43. [Google Scholar] [CrossRef]
  8. Ozturkoglu-Budak, S.; Wiebenga, A.; Bron, P.A.; de Vries, R.P. Protease and lipase activities of fungal and bacterial strains derived from an artisanal raw ewe’s milk cheese. Int. J. Food Microbiol. 2016, 237, 17–27. [Google Scholar] [CrossRef]
  9. Čaplová, Z.; Pangallo, D.; Kraková, L.; Puškárová, A.; Drahovská, H.; Bučková, M.; Koreňová, J.; Kuchta, T. Detection of genes prtP, pepN, pepX and bcaT involved in formation of aroma-active compounds in lactic acid bacteria from ewes´ cheese. J. Food Nutr. Res. Slovak 2018, 57, 195–200. [Google Scholar]
  10. Yvon, M.; Rijnen, L. Cheese flavor formation by amino acid catabolism. Int. Dairy J. 2001, 11, 185–201. [Google Scholar] [CrossRef]
  11. Dias, B.; Weimer, B. Conversion of methionine to thiols by Lactococci, Lactobacilli, and Brevibacteria. App. Environ. Microbiol. 1998, 64, 3320–3326. [Google Scholar] [CrossRef] [Green Version]
  12. Dias, B.; Weimer, B. Purification and characterization of L-Methionine g-lyase from Brevibacterium linens BL2. App. Environ. Microbiol. 1998, 64, 3327–3331. [Google Scholar] [CrossRef] [Green Version]
  13. Rijnen, L.; Delacroix-Buchet, A.; Demaizieres, D.; Le Quéré, J.L.; Gripon, J.C.; Yvon, M. Inactivation of lactococcal aromatic aminotransferase prevents the formation of floral aroma compounds from aromatic amino acids in semi-hard cheese. Int. Dairy J. 1999, 9, 877–885. [Google Scholar] [CrossRef]
  14. Bourdat-Deschamps, M.; Le Bars, D.; Yvon, M.; Chapot-Chartier, M.P. Autolysis of Lactococcus lactis AM2 stimulates the formation of certain aroma compounds from amino acids in a cheese model. Int. Dairy J. 2004, 14, 791–800. [Google Scholar] [CrossRef]
  15. Nierop-Groot, M.N.; de Bont, J.A.M. Conversion of phenylalanine to benzaldehyde initiated by an aminotransferase in Lactobacillus plantarum. App. Environ. Microbiol. 1998, 64, 3009–3013. [Google Scholar] [CrossRef] [Green Version]
  16. Nierop-Groot, M.N.; de Bont, J.A.M. Involvement of manganese in conversion of phenylalanine to benzaldehyde by lactic acid bacteria. App. Environ. Microbiol. 1999, 65, 5590–5593. [Google Scholar] [CrossRef] [Green Version]
  17. González-Martín, M.I.; Vivar-Quintana, A.M.; Revilla, I.; Salvador-Esteban, J. The determination of fatty acids in cheeses of variable composition (cow, ewe´s, and goat) by means of near infrared spectroscopy. Microchem. J. 2020, 156, 104854. [Google Scholar] [CrossRef]
  18. Signorelli, F.; Contarini, G.; Annicchiarico, G.; Napolitano, F.; Orrú, L.; Catillo, G.; Haenlein, G.F.W.; Moioli, B. Breed differences in sheep milk fatty acid profiles: Opportunities for sustainable use of animal genetic resources. Small Rumin. Res. 2008, 78, 24–31. [Google Scholar] [CrossRef]
  19. Erbay, Z.; Koca, N. Effects of using whey and maltodextrin in white cheese powder production on free fatty acid content, nonenzymatic browning and oxidation degree during storage. Int. Dairy J. 2019, 96, 1–9. [Google Scholar] [CrossRef]
  20. Sádecká, J.; Kolek, E.; Pangallo, D.; Valík, L.; Kuchta, T. Principal volatile odorants and dynamics of their formation during the production of May Bryndza cheese. Food Chem. 2014, 150, 301–306. [Google Scholar] [CrossRef]
  21. Boltar, I.; Čanžek Majhenič, A.; Jarni, K.; Jug, T.; Bavcon Krajl, M. Research of volatile compounds in cheese affected by different technological parameters. J. Food Nutr. Res. Slovak 2019, 58, 75–84. [Google Scholar]
  22. Štefániková, J.; Nagyová, V.; Hynšt, M.; Vietoris, V.; Martišová, P.; Nagyová, Ľ. Application of electronic nose for determination of Slovak cheese authentication based on aroma profile. Potr. Slovak J. Food Sci. 2019, 13, 262–267. [Google Scholar] [CrossRef] [Green Version]
  23. ISO. Cheese—Determination of Fat Content—Van Gulik Method. International Organization for Standardization; ISO 3433:2008; International Organization for Standardization: Geneva, Switzerland, 2008. [Google Scholar]
  24. ISO. Cheese and Processed Cheese Determination of the Total Solids Content (Reference Method); ISO 5534:2004; International Organization for Standardization: Geneva, Switzerland, 2004. [Google Scholar]
  25. ISO. Microbiology of Food and Animal Feeding Stuffs—Preparation of Test Samples, Initial Suspension and Decimal Dilutions for Microbiological Examination—Part 5: Specific rules for the Preparation of Milk and Milk Products; ISO 6887-5:2010; International Organization for Standardization: Geneva, Switzerland, 2010. [Google Scholar]
  26. ISO. Microbiology of Food and Animal Feeding Stuffs—Horizontal Method for the Enumeration of Coliforms—Colony-Count Technique; ISO 4832:2006; International Organization for Standardization: Geneva, Switzerland, 2006. [Google Scholar]
  27. ISO. Microbiology of Food and Animal Feeding Stuffs. Horizontal Method for the Enumeration of Yeasts and Moulds. Part 1: Colony Count Technique in Products with Water Activity Greater than 0.95; ISO 21527-1:2010; International Organization for Standardization: Geneva, Switzerland, 2010. [Google Scholar]
  28. ISO. Fermented Milk Products—Bacterial Starter Cultures—Standard of Identity; ISO 27205:2010; International IDF Standard: Brussels, Belgium, 2010. [Google Scholar]
  29. Tomáška, M.; Čaplová, Z.; Sádecká, J.; Šoltys, K.; Kopuncová, M.; Budiš, J.; Drončovský, M.; Kolek, E.; Koreňová, J.; Kuchta, T. Microorganisms and volatile aroma-active compounds in “nite” and “vojky” cheeses. J. Food Nutr. Res. Slovak 2019, 58, 187–200. [Google Scholar]
  30. Regulation no. 343/2016 of the Ministry of Agriculture and Rural Development of the Slovak Republic of 8 December 2016 on Certain Dairy Products. Available online: https://www.slov-lex.sk/pravne-predpisy/SK/ZZ/2016/343/ (accessed on 6 July 2020).
  31. Planý, M.; Kuchta, T.; Šoltýs, K.; Semes, T.; Pangallo, D.; Siekel, P. Metagenomic analysis of Slovak bryndza cheese using nextgeneration 16SrDNA amplicon sequencing. Nova Biotechnol. Chim. 2016, 15, 23–34. [Google Scholar] [CrossRef] [Green Version]
  32. Sádecká, J.; Čaplová, Z.; Tomáška, M.; Šoltys, K.; Kopuncová, M.; Budiš, J.; Drončovský, M.; Kolek, E.; Koreňová, J.; Kuchta, T. Microorganisms and volatile aroma-active compounds in bryndza cheese produced and marketed in Slovakia. J. Food Nutr. Res. Slovak 2019, 58, 382–392. [Google Scholar]
  33. Semjon, B.; Reitznerová, A.; Poláková, Z.; Výrostková, J.; Maľová, J.; Koréneková, B.; Dudriková, E.; Lovayová, V. The effect of traditional production methods on microbial, physico-chemical and sensory properties of Slevenska bryndza Pretected Geographical Indication cheese. Int. J. Dairy Technol. 2018, 71, 709–716. [Google Scholar] [CrossRef]
  34. Dudrikova, E. Hygienic and Technological Aspects of the Collection and Processing of Sheep´s Milk into the Mountain Conditions in Slovakia, 1st ed.; University of Veterinary Medicine and Pharmacy: Košice, Slovakia, 2011; p. 121. (In Slovak) [Google Scholar]
  35. Martin, N.H.; Trmčić, A.; Hsieh, T.H.; Boor, K.J.; Wiedmann, M. The evolving role of coliforms as indicators of unhygienic processing conditions in dairy foods. Front. Microbiol. 2016, 7, 1–8. [Google Scholar] [CrossRef]
  36. Vrabec, M.; Lovayová, V.; Dudriková, K.; Gallo, J.; Dudriková, E. Antibiotic reistance and prevalence of Enterococcus sp. and Escherichia coli isolated from bryndza cheese. Ital. J. Anim. Sci. 2015, 4, 609–614. [Google Scholar]
  37. Cocolin, L.; Foschino, R.; Comi, G.; Grazia Fortina, M. Description of the bacteriocins produced by two strains of Enterococcus faecium isolated from Italian goat milk. Food Microbiol. 2007, 24, 752–758. [Google Scholar] [CrossRef]
  38. Liu, S.Q.; Holland, R.; Crow, V.L. Esters and their biosynthesis in fermented dairy products: A review. Int. Dairy J. 2004, 14, 923–945. [Google Scholar] [CrossRef]
  39. Smit, G.; Smit, B.A.; Engels, W.J.M. Flavour formation by lactic acid bacteria and biochemical flavour profiling of cheese products. FEMS Microb. Rev. 2005, 29, 591–610. [Google Scholar] [CrossRef]
  40. Van Kranenburg, R.; Kleerebezem, M.; van Hylckama Vlieg, J.E.T.; Ursing, B.M.; Boekhorst, J.; Smit, B.A.; Ayad, E.H.E.; Smit, G.; Siezen, R.J. Flavour formation from amino acids by lactic acid bacteria: Predictions from genome sequence analysis. Int. Dairy J. 2002, 12, 111–121. [Google Scholar] [CrossRef]
  41. Koňuchová, M.; Liptáková, D.; Šípková, A.; Valík, Ľ. Role of Geotrichum candidum in Dairy Industry. Chem. Listy 2016, 110, 491–497. [Google Scholar]
  42. Jaster, H.; Judacewski, P.; Ribeiro, J.C.B.; Zielinski, A.A.F.; Demiate, I.M.; Los, P.R.; Alberti, A.; Nogueira, A. Quality assessment of the manufacture of new ripened soft cheese by Geotrichum candidum: Physico-chemical and technological properties. Food Sci. Technol. 2018, 39, 50–58. [Google Scholar] [CrossRef] [Green Version]
  43. Kačániová, M.; Kunová, S.; Štefániková, J.; Felšöciová, S.; Godočíková, L.; Horská, E.; Nagyová, Ľ.; Haščík, P.; Terentjeva, M. Microbiota of the traditional Slovak sheep cheese “Bryndza”. J. Microbiol. Biotechnol. Food Sci. 2019, 9, 482–486. [Google Scholar] [CrossRef]
  44. Yvon, M.; Thirouin, S.; Rijnen, L.; Fromentier, D.; Gripon, J.C. An aminotransferase from Lactococcus lactis initiates conversion of amino acids to cheese flavor compounds. App. Environ. Microbiol. 1997, 63, 414–419. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Tanous, C.; Gori, A.; Rijnen, L.; Chambellon, E.; Yvon, M. Pathways for α-ketoglutarate formation by Lactococcus lactis and their in amino acid catabolism. Int. Dairy J. 2005, 15, 759–770. [Google Scholar] [CrossRef]
  46. Savijoki, K.; Ingmer, H.; Varmanen, P. Proteolytic systems of lactic acid bacteria. App. Microbiol. Biotechnol. 2006, 71, 394–406. [Google Scholar] [CrossRef]
  47. Delgado, F.J.; González-Crespo, J.; Cava, R.; García-Parra, J.; Ramírez, R. Characterization of the volatile profile of a Spanish ewe raw milk soft cheese P.D.O. Torta del Casar during ripening by SPME-GC-MS. Food Chem. 2010, 118, 182–189. [Google Scholar] [CrossRef]
  48. Delgado-Martínez, F.J.; Carrapiso, A.I.; Contador, R.; Rosario Ramírez, M. Volatile compounds and sensory changes after high pressure processing of mature “Torta del Casar” (raw ewe´s milk cheese) during refrigerated storage. Innov. Food Sci. Emerg. Technol. 2019, 52, 34–41. [Google Scholar] [CrossRef]
  49. Majcher, M.A.; Goderska, K.; Pikul, J.; Jeleń, H.H. Changes in volatile, sensory and microbial profiles during preparation of smoked ewe cheese. J. Sci. Food Agric. 2011, 91, 1416–1423. [Google Scholar] [CrossRef]
  50. Nájera-Domínguez, C.; Gutiérrz-Méndez, N.; Nevárez-Moorillon, G.; Caro-Canales, I. Comparison of volatile compounds produced by wild Lactococcus lactis in miniature Chihuahua-type cheeses. Dairy Sci. Technol. 2015, 94, 499–516. [Google Scholar] [CrossRef] [Green Version]
  51. Passerini, D.; Laroute, V.; Coddeville, M.; Le Bourgeois, P.; Loubiere, P.; Ritzenthaler, P.; Cocaign-Bousquet, M.; Daveran-Mingot, M.L. New insights into Lactococcus lactis diacetyl- and acetoin producing strains isolated from diverse origins. Int. J. Food Microbiol. 2013, 160, 329–336. [Google Scholar] [CrossRef]
  52. Bozoudi, D.; Kondyli, E.; Claps, S.; Hatzikamari, M.; Michaelidou, A.; Biliaderis, C.G.; Litopoulou-Tzanetaki, E. Compositional characteristics and volatile organic compounds of traditional PDO feta cheese made in two different mountainous areas of Greece. Int. J. Dairy Technol. 2018, 71, 673–682. [Google Scholar] [CrossRef]
  53. Iussig, G.; Renna, M.; Gorlier, A.; Lonati, M.; Lussiana, C.; Battaglini, L.M.; Lombardi, G. Browsing ratio, species intake, and milk fatty acid composition of goats foraging on alpine open grassland and grazable forestland. Small Rumin. Res. 2015, 132, 12–24. [Google Scholar] [CrossRef] [Green Version]
  54. Moran, L.; Aldezabal, A.; Aldai, N.; Barron, L.J.R. Terpenoid traceability of commercial sheep cheeses produced in mountain and valley farms: From pasture to mature cheeses. Food Res. Int. 2019, 126, 108669. [Google Scholar] [CrossRef]
  55. Cadwallader, K. Instrumental measurement of milk flavour and colour. In Improving the Safety and Quality of Milk, 1st ed.; Griffiths, M.W., Ed.; Woodhead Publishing: New York, NY, USA, 2010; Volume 2, pp. 181–206. [Google Scholar]
  56. Wang, H.; Wang, Y.; Huang, A. Influence of Dregea sinensis Hemsl. protease on the quality of mozzarella cheese from buffalo milk. Emir. J. Food Agric. 2017, 29, 539–546. [Google Scholar] [CrossRef]
  57. Ghasemi-Varnamkhasti, M.; Mohammad-Razdari, A.; Yoosefian, S.H.; Izadi, Z.; Siadat, M. Aging discrimination of French cheese types based on the optimization of an electronic nose using multivariate computational approaches combined with response surface method (RSM). LWT 2019, 111, 85–98. [Google Scholar] [CrossRef]
  58. Trihaas, J.; Vognsen, L.; Nielsen, P.V. Electronic nose: New tool in modelling the ripening of Danish blue cheese. Int. Dairy J. 2005, 15, 679–691. [Google Scholar] [CrossRef]
  59. Cevoli, C.; Cerretani, L.; Gori, A.; Caboni, M.F.; Gallina Toschi, T.; Fabbri, A. Classification of Pecorino cheeses using electronic nose combined with artificial neural network and comparison with GC–MS analysis of volatile compounds. Food Chem. 2011, 129, 1315–1319. [Google Scholar] [CrossRef]
Foods 09 01195 g001 550
Figure 1. Projection of “bryndza” cheese from 8 producers (B1–8) onto the space defined by the first two principal components (PC1/PC2) based on the e-nose results. Sample groups according to the month: ○—May, ●—June, ▲—July, ■—August, ∆—September.
Figure 1. Projection of “bryndza” cheese from 8 producers (B1–8) onto the space defined by the first two principal components (PC1/PC2) based on the e-nose results. Sample groups according to the month: ○—May, ●—June, ▲—July, ■—August, ∆—September.
Foods 09 01195 g001
Table
Table 1. Characterization of analyzed bryndza cheese samples.
Table 1. Characterization of analyzed bryndza cheese samples.
B1B2B3B4B5B6B7B8
Ewe’s Milk100%100%min 50%100%min 50%
or 100%		100%100%min 50%
Raw/Pasteurized MilkRRewes´ R
cows´ P		RPRRP
Dry Mattermin
44%		ULmin
44%		ULmin 44%,
48%		44%min
48%		min
44%
Fat in Dry Mattermin
48%		ULmin
48%		ULmin
48%		48%min
48%		min
48%
NaClmax
2.5%		max
2.5%		max
2.5%		ULmax
2.5%		max
2%		max
2.5%		1.9%
Producing Area of Slovakiamiddlemiddlemiddlewestmiddleeastmiddlemiddle
Packageplastic foilplastic foilplastic foilplastic foilpaper + aluminium foilplastic containerplastic foilplastic foil
UL—unlabeled.
Table
Table 2. Physicochemical properties of bryndza cheese (average values, means ± SD).
Table 2. Physicochemical properties of bryndza cheese (average values, means ± SD).
B1B2B3B4B5B6B7B8
F (%)24.8 ± 2.124.9 ± 1.619.4 ± 2.524.8 ± 1.324.3 ± 3.326.4 ± 0.426.3 ± 3.122.4 ± 0.5
DM (%)47.7 ± 1.148.9 ± 1.442.5 ± 2.054.1 ± 2.849.3 ± 2.752.0 ± 1.453.1 ± 2.245.5 ± 1.1
FDM (%)51.8 ± 3.450.9 ± 2.245.6 ± 4.545.8 ± 1.449.1 ± 3.950.8 ± 0.949.5 ± 4.049.4 ± 1.3
pH5.24 ± 0.25.09 ± 0.15.34 ± 0.15.24 ± 0.15.14 ± 0.15.21 ± 0.15.26 ± 0.25.24 ± 0.1
F—fat, DM—dry matter, FDM—fat in dry matter.
Table
Table 3. Microbiological quality of bryndza cheeses (values of geomean) (log CFU/g).
Table 3. Microbiological quality of bryndza cheeses (values of geomean) (log CFU/g).
B1B2B3B4B5B6B7B8
CB3.773.466.016.783.726.225.27<1
E5.357.367.357.344.597.196.472.37
PL8.369.158.989.038.988.528.597.17
PLb7.738.988.698.768.488.358.326.56
Y6.626.216.264.656.525.966.195.80
DG5.755.205.114.335.935.496.065.24
CB—coliform bacteria, E—enterococci, PL—presumptive lactococci, PLb—presumptive lactobacilli, Y—yeasts, DG—Dipodascus geotrichum.
Table
Table 4. Volatile organic compounds in bryndza cheese determined by electronic nose (e-nose) with D > 0.900.
Table 4. Volatile organic compounds in bryndza cheese determined by electronic nose (e-nose) with D > 0.900.
Volatile Organic CompoundsKovats´ Retention Index DB-5 ColumnKovats´ Retention Index DB-1701 ColumnSensory Descriptor 1
Ketones2-butanone594690butter, cheese, chemical, chocolate, ethereal, gaseous
2,3-butanonedione589690butter, caramelized, creamy, fruity, pineapple, spirit
Aldehydepropanal489579ethereal, plastic, pungent, solvent
butanal578668chocolate, green, malty, pungent
heptanal901986citrus, fatty, fruity, green, smoky
2-methyl propanal522626brunt, fruity, green, toasted, spicy, malty, pungent
furfural836978almond, bread, sweet
Estersethyl acetate614677acidic, butter, caramelized, fruity, orange, pineapple, pungent, solvent, ethereal, sweet
butyl acetate813879banana, bitter, ethereal, green, strong, fruity, pear, pineapple, sweaty, sweet
ethyl butanoate800865acetone, banana, bubblegum, caramelized, fruity, pineapple, strawberry, sweet
isoamyl acetate876945banana, fresh, fruity, pear, sweet
ethyl propanoate710766acetone, fruity, solvent
methyl 2-methyl butanoate774840apple, chewing gum, fruity, solvent, spirit
Alcohols2-methyl propanol626736alcoholic, bitter, chemical, glue, leek, lecorice, solvent, winey
2-propanol500602alcoholic, ethereal
n–butanol664779cheese, fermented, fruity, medicinal
1-hexanol868980dry, floral, fruity, grassy, green, herbaceous, mild woody
Free Fatty Acidspropanoic acid739889acidic, pungent, rancid, soy
hexanoic acid9961186cheese, fatty, goat, pungent, rancid, sweaty
Monoterpeneslimonene10491073citrus, fruity, minty, orange, peely
1 Sensory descriptor from AroChemBase database, part of software Alpha Soft V14 (Alpha M.O.S.).
Table
Table 5. Average chemical composition (TIC% Area) 1 of the bryndza cheese from producers B1–8 produced from May to September 2019 obtained by gas chromatography (GC–MS) analysis.
Table 5. Average chemical composition (TIC% Area) 1 of the bryndza cheese from producers B1–8 produced from May to September 2019 obtained by gas chromatography (GC–MS) analysis.
Volatile Organic Compounds (TIC% Area)B1B2B3B4B5B6B7B8
Alcoholsisoamyl alcohol a,25.204.644.073.2210.64.342.864.56
2,7-dimethyl-4,5-octandiol a1.191.391.011.06ND 30.930.720.94
2,3-butanediol1.191.603.303.942.552.031.402.56
β-phenyl ethanol a,b0.720.756.730.972.401.521.076.82
dl-erythro-1-phenyl-1,2-propanediol a1.780.640.710.60NDNDNDND
1-methoxy 2-propanolNDNDNDND1.59NDNDND
2-butanolNDNDND12.36NDNDNDND
AldehydeBenzaldehyde a2.040.790.550.48NDND0.62ND
Ketonesacetoin6.1611.311.815.218.520.718.910.6
2,3-butanedione bND2.553.551.952.391.313.153.24
2-butanoneNDNDND16.47NDND2.77ND
Free fatty acidsacetic acid7.4210.49.8711.39.427.978.958.74
butanoic acid a4.334.022.001.802.453.015.88ND
pentanoic acid a1.151.501.00ND0.740.741.372.69
hexanoic acid a3.714.043.742.853.963.946.983.66
octanoic acidND1.761.971.374.183.554.231.52
n-decanoic acidNDNDNDND2.51ND2.37ND
Estersethyl acetate3.105.266.103.633.638.07ND4.65
2-phenetyl acetate a,b0.931.378.070.85ND0.60ND3.34
acetoin acetate aND0.771.97ND1.140.90ND1.05
isoamyl acetateNDND1.76NDNDNDND3.04
MonoterpenesD-limonene a,b1.050.760.50NDNDND0.71ND
Oximephenyl-methoxy-oxime8.545.694.404.334.203.744.465.15
1 Listed are the compounds that represented min. 1% in at least one bryndza cheese. 2 Letters in superscript indicates statistically significant difference (p ˂ 0.05): a—among samples depending on type of milk; b—among samples depending on dairies. 3 ND—not detected.

Share and Cite

MDPI and ACS Style

Štefániková, J.; Ducková, V.; Miškeje, M.; Kačániová, M.; Čanigová, M. The Impact of Different Factors on the Quality and Volatile Organic Compounds Profile in “Bryndza” Cheese. Foods 2020, 9, 1195. https://doi.org/10.3390/foods9091195

AMA Style

Štefániková J, Ducková V, Miškeje M, Kačániová M, Čanigová M. The Impact of Different Factors on the Quality and Volatile Organic Compounds Profile in “Bryndza” Cheese. Foods. 2020; 9(9):1195. https://doi.org/10.3390/foods9091195

Chicago/Turabian Style

Štefániková, Jana, Viera Ducková, Michal Miškeje, Miroslava Kačániová, and Margita Čanigová. 2020. "The Impact of Different Factors on the Quality and Volatile Organic Compounds Profile in “Bryndza” Cheese" Foods 9, no. 9: 1195. https://doi.org/10.3390/foods9091195

APA Style

Štefániková, J., Ducková, V., Miškeje, M., Kačániová, M., & Čanigová, M. (2020). The Impact of Different Factors on the Quality and Volatile Organic Compounds Profile in “Bryndza” Cheese. Foods, 9(9), 1195. https://doi.org/10.3390/foods9091195

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