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Uncovering the Counterfeit: A study of whiskey authenticity through volatile organic compound fingerprinting, aroma and color sensory analysis
[Display omitted] •Non-target HS-SPME-GC–MS fingerprinting distinguishes whiskey authenticity.•Chemometrics tentatively identify VOCs markers of counterfeiting in whiskeys.•Potential consumers often miss aroma and color cues in counterfeit whiskeys. This study presents a method employing gas chromat...
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Published in: | Food chemistry 2024-07, Vol.447, p.139023-139023, Article 139023 |
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Main Authors: | , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | [Display omitted]
•Non-target HS-SPME-GC–MS fingerprinting distinguishes whiskey authenticity.•Chemometrics tentatively identify VOCs markers of counterfeiting in whiskeys.•Potential consumers often miss aroma and color cues in counterfeit whiskeys.
This study presents a method employing gas chromatography coupled with mass spectrometry and headspace solid-phase microextraction (HS-SPME-GC–MS), supplemented with chemometrics (Soft independent modelling of class analogies - SIMCA), to analyze volatile organic compound (VOCs) profiles in suspect whiskey samples. Furthermore, a sensory analysis of aroma and color was conducted with a panel of 52 non-trained volunteers to evaluate their ability to discriminate and preference for counterfeit whiskeys. The HS-SPME-GC–MS method successfully distinguished 41 seized samples from authentic beverages. Interestingly, sensory analysis revealed that panelists could differentiate between counterfeit and authentic samples with a reference standard but did not consistently show a preference for aroma. In some cases, there was even a preference for the color of counterfeit whiskeys. The findings suggest that sensorial tests alone may not effectively distinguish counterfeit from authentic whiskeys, especially for non-expert consumers, highlighting the need for analytical instrumentation methods in fraud detection. |
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ISSN: | 0308-8146 1873-7072 |
DOI: | 10.1016/j.foodchem.2024.139023 |