Smith, BL 
ORCID: 0000-0001-5571-3647, Hughes, DM ORCID: 0000-0002-1287-9994, Badu-Tawiah, AK, Eccles, R, Goodall, I and Maher, S
(2019)
Rapid Scotch Whisky Analysis and Authentication using Desorption Atmospheric Pressure Chemical Ionisation Mass Spectrometry.
Scientific Reports, 9 (1).
7994-.
Abstract
Whisky, as a high value product, is often adulterated, with adverse economic effects for both producers and consumers as well as potential public health impacts. Here we report the use of DAPCI-MS to analyse and chemically profile both genuine and counterfeit whisky samples employing a novel ‘direct from the bottle’ methodology with zero sample pre-treatment, zero solvent requirement and almost no sample usage. 25 samples have been analysed from a collection of blended Scotch whisky (n = 15) and known counterfeit whisky products (n = 10). Principal component analysis has been applied to dimensionally reduce the data and discriminate between sample groups. Additional chemometric modelling, a partial least squares regression, has correctly classified samples with 92% success rate. DAPCI-MS shows promise for simple, fast and accurate counterfeit detection with potential for generic aroma profiling and process quality monitoring applications.
| Item Type: | Article |
|---|---|
| Additional Information: | Whisky, as a high value product, is often adulterated, with adverse economic effects for both producers and consumers as well as potential public health impacts. Here we report the use of DAPCI-MS to analyse and chemically profile both genuine and counterfeit whisky samples employing a novel ‘direct from the bottle’ methodology with zero sample pre-treatment, zero solvent requirement and almost no sample usage. 25 samples have been analysed from a collection of blended Scotch whisky (n = 15) and known counterfeit whisky products (n = 10). Principal component analysis has been applied to dimensionally reduce the data and discriminate between sample groups. Additional chemometric modelling, a partial least squares regression, has correctly classified samples with 92% success rate. DAPCI-MS shows promise for simple, fast and accurate counterfeit detection with potential for generic aroma profiling and process quality monitoring applications. |
| Uncontrolled Keywords: | Atmospheric Pressure, Drug Contamination, Principal Component Analysis, Alcoholic Beverages, Mass Spectrometry |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 10 Jun 2019 13:22 |
| Last Modified: | 19 Jan 2023 00:40 |
| DOI: | 10.1038/s41598-019-44456-0 |
| Open Access URL: | https://www.nature.com/articles/s41598-019-44456-0 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3045240 |
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