Rapid Scotch Whisky Analysis and Authentication using Desorption Atmospheric Pressure Chemical Ionisation Mass Spectrometry

التفاصيل البيبلوغرافية
العنوان: Rapid Scotch Whisky Analysis and Authentication using Desorption Atmospheric Pressure Chemical Ionisation Mass Spectrometry
المؤلفون: David M Hughes, Abraham K. Badu-Tawiah, Simon Maher, Ian Goodall, Rebecca Eccles, Barry L. Smith
المصدر: Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports
بيانات النشر: Nature Publishing Group, 2019.
سنة النشر: 2019
مصطلحات موضوعية: 0301 basic medicine, business.product_category, lcsh:Medicine, Mass spectrometry, Article, 03 medical and health sciences, 0302 clinical medicine, food, Desorption, Partial least squares regression, Scotch whisky, Bottle, lcsh:Science, Analytical biochemistry, food.beverage, Principal Component Analysis, Multidisciplinary, Atmospheric pressure, Alcoholic Beverages, lcsh:R, Pulp and paper industry, Counterfeit, Atmospheric Pressure, 030104 developmental biology, Principal component analysis, Environmental science, lcsh:Q, Drug Contamination, business, 030217 neurology & neurosurgery
الوصف: 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.
اللغة: English
تدمد: 2045-2322
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ab57425e4249f0e053c5293c3995368
http://link.springer.com/article/10.1038/s41598-019-44456-0
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....0ab57425e4249f0e053c5293c3995368
قاعدة البيانات: OpenAIRE