2021
DOI: 10.1016/j.talanta.2020.122069
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Real-time authentication of animal species origin of leather products using rapid evaporative ionization mass spectrometry and chemometric analysis

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Cited by 13 publications
(15 citation statements)
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“…The raw data generated by REIMS analysis from six DSC samples provided the original material for multivariate statistical analysis by building distinct statistical models. PCA is an unsupervised algorithm which is generally applied for dimension reduction by finding out the principal components (PCs) to maximize the variance and ignoring class labels in a dataset. , The PCA model was first used for exploring major trends in the score plot (Figure A), scree plot (Figure B), and biplot (Figure C). The score plot showed that all the DSC samples clustered into six groups clearly, and the first two PCs explained 92.0 cum % of total variance, indicating the good distribution of the samples in space.…”
Section: Results and Discussionmentioning
confidence: 99%
“…The raw data generated by REIMS analysis from six DSC samples provided the original material for multivariate statistical analysis by building distinct statistical models. PCA is an unsupervised algorithm which is generally applied for dimension reduction by finding out the principal components (PCs) to maximize the variance and ignoring class labels in a dataset. , The PCA model was first used for exploring major trends in the score plot (Figure A), scree plot (Figure B), and biplot (Figure C). The score plot showed that all the DSC samples clustered into six groups clearly, and the first two PCs explained 92.0 cum % of total variance, indicating the good distribution of the samples in space.…”
Section: Results and Discussionmentioning
confidence: 99%
“…The compounds detected in a range of m/z 600–1000 could be tentatively identified as phosphatidylcholine, phosphatidylethanolamine, and phosphatidylinositol [24]. The compounds, such as triglycerides, phenolic acids, and amino acids normally detected in animal‐derived samples, were not acquired in the sorghum samples [22, 23]. The tremendous diversity in the metabolome consists of complex mixtures of small molecular metabolites, in which individual compounds vary in abundance by six or more orders of magnitude, making it unrealistic to develop a single analytical method that enables us to measure all metabolites in a sample simultaneously.…”
Section: Resultsmentioning
confidence: 99%
“…There was no clear clustering observed between different geographic origins of sorghum using PCA modeling (Figure 2A). It is reported that PCA data treatment before LDA could reduce input variables and the chance of over‐fitting that may occur in LDA [23]. Thus, we evaluated the capabilities of this method by constructing a PCA–LDA model.…”
Section: Resultsmentioning
confidence: 99%
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“…83 Gao et al combined REIMS with multivariate analysis to differentiate between leather products sourced from different animals, a method that would be beneficial in leather product testing and authenticity confirmation. 84…”
Section: Forensics and Securitymentioning
confidence: 99%