Differentiation of Transylvanian fruit distillates using supervised statistical tools based on isotopic and elemental fingerprint

Dehelean, Adriana; Cristea, Gabriela; Feher, Ioana; Hategan, Ariana Raluca; Măgdaş, Dana Alina

doi:10.1002/jsfa.12241

Cited by 5 publications

(4 citation statements)

References 44 publications

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“…This method can overcome problems related to ill-conditioned variance/covariance matrices, coming from the higher number of variables when compared to the number of analyzed samples, which is common when handling instrumental data matrices. , Volatile organic compounds are the main components that cause the formation of food aromas, and the most common pretreatment of volatiles in food and beverages is HS-SPME, combined with a chemometric model . PLS-DA was the most suitable supervised method used as tool in classification of geographical origin of products such as tea for two different origins and fruit distillates for three different origins, with an accuracy of 100 and 91.2%, respectively in those studies.…”

Section: Results and Discussionmentioning

confidence: 99%

“…Last, in the work of Lee et al, 40 (40) blended Scotch whiskeys from four (4) different product categories (deluxe, standard, retailer, and West Highland) were also analyzed with the method of HS-SPME-GC-MS, and the acquired GC–MS data were also analyzed by discriminant partial least-squares. In that research, product clustering was explained in three valid factors with a total of 61% variance explained for the X-variables and 47% of variance explained for the Y variables (64% total variance explained for the Deluxe category, 49% for the standard, 42% for the West Highland and 36% for the retailer blends).…”

Section: Results and Discussionmentioning

confidence: 99%

“…9,34 Volatile organic compounds are the main components that cause the formation of food aromas, and the most common pretreatment of volatiles in food and beverages is HS-SPME, combined with a chemometric model. 36 PLS-DA was the most suitable supervised method used as tool in classification of geographical origin of products such as tea for two different origins 37 and fruit distillates for three different origins, 38 with an accuracy of 100 and 91.2%, respectively in those studies.…”

Section: Projection Methods and The Role Of Region Of Origin In The S...mentioning

confidence: 99%

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Volatile Profile in Greek Grape Marc Spirits with HS-SPME-GC-MS and Chemometrics: Evaluation of Terroir Impact

Tsapou,

Dourtoglou,

Dourtoglou

et al. 2023

ACS Omega

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Greek grape marc spirits, although being traditional products, have lately attracted increasing attention as a revisited spirit product category. A headspace solid-phase microextraction coupled to the gas chromatography−mass spectrometry method was optimized in order to determine the volatile composition of 39 samples of grape marc spirits from eight major geographical regions of Greece and 4 protected designations of origin (PDOs). This untargeted analysis approach yielded the identification and quantification of 200 volatiles characterizing those products. Principal component analysis and partial least-squares-discriminant analysis (PLS-DA) combined with the volatile matrix were further employed to identify terroir denomination. Initial results showed a clear separation of the PDO products from Tyrnavos from the rest. Variable importance in projection data pretreatment was further adopted, and with 31 volatiles subsequently used with PLS-DA, products were correctly classified according to region of origin at 76.92% and for 3 out of 4 PDO denominations at 100%.

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Section: Results and Discussionmentioning

confidence: 99%

Section: Results and Discussionmentioning

confidence: 99%

Section: Projection Methods and The Role Of Region Of Origin In The S...mentioning

confidence: 99%

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Volatile Profile in Greek Grape Marc Spirits with HS-SPME-GC-MS and Chemometrics: Evaluation of Terroir Impact

Tsapou,

Dourtoglou,

Dourtoglou

et al. 2023

ACS Omega

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“…Some Romanian samples come from Timisoara County, located in the western part of Romania, near the Hungarian border. As reported [37,38], more solid geographic differentiation of foodstuff samples using isotope and elemental profiles can be obtained by comparing products originating from regions far away from each other, whereas correct attribution is usually limited if production areas are geographically close to each other.…”

Section: Isotopic Fingerprint Of Hydrogen and Oxygenmentioning

confidence: 99%

Influence of Geographical Origin on Isotopic and Elemental Compositions of Pork Meat

Dehelean,

Feher,

Romulus

et al. 2023

Foods

Self Cite

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Pigs are a primary source of meat, accounting for over 30% of global consumption. Consumers’ preferences are determined by health considerations, paying more attention to foodstuffs quality, animal welfare, place of origin, and swine feeding regime, and being willing to pay a higher price for a product from a certain geographical region. In this study, the isotopic fingerprints (δ2H, δ18O, and δ13C) and 29 elements of loin pork meat samples were corroborated with chemometric methods to obtain the most important variables that could classify the samples’ geographical origin. δ2H and δ18O values ranged from −71.0 to −21.2‰, and from −9.3 to −2.8‰, respectively. The contents of macro- and micro-essential elements are presented in the following order: K > Na > Mg > Ca > Zn > Fe > Cu > Cr. The LDA model assigned in the initial classification showed 91.4% separation of samples, while for the cross-validation procedure, a percentage of 90% was obtained. δ2H, K, Rb, and Pd were identified as the most representative parameters to differentiate the pork meat samples coming from Romania vs. those from abroad. The mean values of metal concentrations were used to estimate the potential health risks associated with the consumption of pork meat The results showed that none of the analyzed metals (As, Cd, Sn, Pb, Cu, and Zn) pose a carcinogenic risk.

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Comparative Investigation of Aroma-Active Volatiles in (“Ruixue”, “Liangzhi”, “Crystal Fuji,” and “Guifei”) Apples by Application of Gas Chromatography–Mass Spectrometry–Olfactometry (GC–MS–O) and Two-Dimensional Gas Chromatography-Quadrupole Mass Spectrometry (GC × GC-qMS) Coupled with Sensory Molecular Science

Ma,

Zhu,

Wang

et al. 2024

J. Agric. Food Chem.

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Aroma dramatically impacts the overall flavor profiles and consumer acceptance; therefore, it is necessary to conduct a comprehensive analysis of the aroma characteristics of apples. In this study, the aroma differences among four popular apple varieties ("Ruixue", "Liangzhi", "Crystal Fuji," and "Guifei") were compared using two extraction methods (headspace-solid phase microextraction, and solvent-assisted flavor evaporation) coupled with gas chromatography−mass spectrometry−olfactometry (GC−MS−O) and two-dimensional gas chromatography-quadrupole mass spectrometry (GC × GC-qMS). A total of 82 odorants were identified via GC−MS−O, and 143 volatiles were identified by GC× GC-qMS. Among them, 41 key aroma-active compounds (butanal, ethyl acetate, 3-methylbutanal, methyl butanoate, 2-methylpropyl acetate, ethyl 2-methylbutanoate, ethyl 3methylbutanoate, butyl acetate, hexanal, 2-methylbutyl acetate, 1-butanol, 2-methylpropyl butanoate, 3-methylbutyl acetate, (E)-2-hexenal, butyl butanoate, butyl 2-methylbutanoate, hexyl acetate, hexyl butanoate, hexyl, 2-methylbutanoate, 1-octen-3-ol, 3methylthiopropanol, 1,3-octanediol, linalyl acetate, and so on) with high odor activity values (OAVs) and AI value (odor activity values ≥1 or aroma intensity ≥3) were identified. Partial least-squares-discriminant analysis showed that Ruixue exhibited a high "fruity" note, Guifei and Crystal Fuji had the greatest "wood," "floral," and "sweet" notes, while Liangzhi presented a significant "green" note. This study provided flavor chemistry support for the apple quality control and production.

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Differentiation of Transylvanian fruit distillates using supervised statistical tools based on isotopic and elemental fingerprint

Cited by 5 publications

References 44 publications

Volatile Profile in Greek Grape Marc Spirits with HS-SPME-GC-MS and Chemometrics: Evaluation of Terroir Impact

Volatile Profile in Greek Grape Marc Spirits with HS-SPME-GC-MS and Chemometrics: Evaluation of Terroir Impact

Influence of Geographical Origin on Isotopic and Elemental Compositions of Pork Meat

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