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Development of an automated Raman system and use of principal component analysis to classify real and counterfeit liquors

We developed an automated Raman measurement platform for the customized design of various solution containers. We used the software LabVIEW to integrate the entire automatic measurement process. By designing an intuitive human–machine interface, the user only needs to input a few setting parameters...

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Detalles Bibliográficos
Autores principales: Chi, Huan-Wen, Hu, Shu-Wei, Lin, Ding-Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642367/
https://www.ncbi.nlm.nih.gov/pubmed/37964906
http://dx.doi.org/10.1039/d3ra06057h
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author Chi, Huan-Wen
Hu, Shu-Wei
Lin, Ding-Zheng
author_facet Chi, Huan-Wen
Hu, Shu-Wei
Lin, Ding-Zheng
author_sort Chi, Huan-Wen
collection PubMed
description We developed an automated Raman measurement platform for the customized design of various solution containers. We used the software LabVIEW to integrate the entire automatic measurement process. By designing an intuitive human–machine interface, the user only needs to input a few setting parameters and can efficiently operate the machine in automation mode for an array of solutions containing real or counterfeit liquors such as kaoliang liquor, vodka, rum, gin, rice wine, ethanol, and methanol. In this study, data from various alcoholic beverage solutions were subjected to principal component analysis (PCA) to distinguish from the low-concentration counterfeit liquors (methanol <50 g L(−1)). Moreover, several brands of liquors with the same alcohol concentration were successfully classified into different groups based on a combination of Raman spectroscopy and PCA analysis.
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spelling pubmed-106423672023-11-14 Development of an automated Raman system and use of principal component analysis to classify real and counterfeit liquors Chi, Huan-Wen Hu, Shu-Wei Lin, Ding-Zheng RSC Adv Chemistry We developed an automated Raman measurement platform for the customized design of various solution containers. We used the software LabVIEW to integrate the entire automatic measurement process. By designing an intuitive human–machine interface, the user only needs to input a few setting parameters and can efficiently operate the machine in automation mode for an array of solutions containing real or counterfeit liquors such as kaoliang liquor, vodka, rum, gin, rice wine, ethanol, and methanol. In this study, data from various alcoholic beverage solutions were subjected to principal component analysis (PCA) to distinguish from the low-concentration counterfeit liquors (methanol <50 g L(−1)). Moreover, several brands of liquors with the same alcohol concentration were successfully classified into different groups based on a combination of Raman spectroscopy and PCA analysis. The Royal Society of Chemistry 2023-11-13 /pmc/articles/PMC10642367/ /pubmed/37964906 http://dx.doi.org/10.1039/d3ra06057h Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Chi, Huan-Wen
Hu, Shu-Wei
Lin, Ding-Zheng
Development of an automated Raman system and use of principal component analysis to classify real and counterfeit liquors
title Development of an automated Raman system and use of principal component analysis to classify real and counterfeit liquors
title_full Development of an automated Raman system and use of principal component analysis to classify real and counterfeit liquors
title_fullStr Development of an automated Raman system and use of principal component analysis to classify real and counterfeit liquors
title_full_unstemmed Development of an automated Raman system and use of principal component analysis to classify real and counterfeit liquors
title_short Development of an automated Raman system and use of principal component analysis to classify real and counterfeit liquors
title_sort development of an automated raman system and use of principal component analysis to classify real and counterfeit liquors
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642367/
https://www.ncbi.nlm.nih.gov/pubmed/37964906
http://dx.doi.org/10.1039/d3ra06057h
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