Non target screening strategy based on GC-Q-TOF for Scotch whisky authentication.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F17%3A43914082" target="_blank" >RIV/60461373:22330/17:43914082 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Non target screening strategy based on GC-Q-TOF for Scotch whisky authentication.
Original language description
Whisky is one of the most popular spirit drinks in the world. Unfortunately, this high valued commodity is vulnerable to fraud. To detect fraudulent practices and document quality parameters, a number of laboratory tests based on various principles including chromatography and spectroscopy has been developed. In most cases, the analytical methods are based on targeted screening strategies. In our study, to isolate and pre-concentrate as much as possible volatile and semi-volatile compounds, ethyl acetate extraction was used. In the next step, non-target approach, fingerprinting of whisky components based on gas chromatography coupled with tandem mass spectrometry (Q-TOF mass analyzer) was employed. The data obtained by analysis of a unique set of 180 authentic whisky samples (differing in region of origin, maturation in various cask and age) provided by the Scotch Whisky Research Institute were assessed by advanced chemometric methods. Principal component analysis (PCA), partial least squares discriminant analysis (PLS?DA) and orthogonal PLS?DA were applied for classification model construction. Very good separation according maturation casks (bourbon, sherry, red, white and port wine) was achieved significant markers most contributing to the clustering were identified (e.g. diethyl tartrate or vanillin acetate). In the next phase, 20 fake samples and 24 ´unknown´ samples were analyzed and the data processed in the same way. Some differences could be observed in volatiles profiles of authentic and fake samples. Employing the chemometric model developed for this purpose, marker compounds enabling distinguishing fake samples were found. Based on their mass spectra, several food additives were identified. These ´new´ markers might be added on the target analytes list for a routine control.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
FOODINTEGRITY 2017 CONFERENCE
ISBN
978-88-941066-5-7
ISSN
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e-ISSN
neuvedeno
Number of pages
2
Pages from-to
77-78
Publisher name
Barilla
Place of publication
Parma
Event location
Parma
Event date
May 10, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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