2021
DOI: 10.1016/j.saa.2021.119803
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A rapid and non-destructive ATR-FTIR spectroscopy method supported by chemometrics for discriminating between facial creams and the classification into herbal and non-herbal brands

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Cited by 18 publications
(9 citation statements)
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“…Due to the supervised nature of PLS‐DA, the sample plot can show the discrimination of samples and their classes. The accuracy of classification is ascertained through cross‐validation and by the use of distance metric that gives a minimum error of classification [20–26]. In this study, PLS‐DA was performed using the mixOmics package in R Software [20].…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Due to the supervised nature of PLS‐DA, the sample plot can show the discrimination of samples and their classes. The accuracy of classification is ascertained through cross‐validation and by the use of distance metric that gives a minimum error of classification [20–26]. In this study, PLS‐DA was performed using the mixOmics package in R Software [20].…”
Section: Methodsmentioning
confidence: 99%
“…PLS‐DA is used for the discrimination and classification of spectral data [20–26]. PLS‐DA transforms the original spectral variables to latent variables of lesser dimensions than the original data.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Another group utilized ATR-FTIR spectroscopy to differentiate facial creams based on their chemical composition, herbal vs nonherbal. 88 PLS-DA was used to classify the 57 samples (31 nonherbal and 26 herbal) analyzed. During internal validation, the prediction accuracy was 73%, while for external validation, the class prediction was 90%.…”
Section: T H Imentioning
confidence: 99%
“…Additionally, they tested common substrates that foundation is smeared onto (tissue paper and white cotton) and were still able to properly identify the stains. Another group utilized ATR-FTIR spectroscopy to differentiate facial creams based on their chemical composition, herbal vs nonherbal . PLS-DA was used to classify the 57 samples (31 nonherbal and 26 herbal) analyzed.…”
Section: Chemistry: Trace Evidencementioning
confidence: 99%