2023
DOI: 10.1016/j.jfca.2023.105217
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Towards robustness and sensitivity of rapid Baijiu (Chinese liquor) discrimination using Raman spectroscopy and chemometrics: Dimension reduction, machine learning, and auxiliary sample

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Cited by 11 publications
(1 citation statement)
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“…DA analysis is to establish a discriminant model by using the samples of known categories,to discriminate the categories of unknown samples,so that the cases of wrong judgment are minimized, Chenhui Wang et al (Wang et al 2023) By utilizing LDA-ML for data dimension reduction and enhancing discriminant ability, this approach achieves an overall test discriminant accuracy of 97%. Consequently, it enables robust and sensitive differentiation of highly similar liquor products, thereby highlighting the potential application of this technology in manufacturing quality control and product certi cation.…”
Section: For the Dummy Variable Ymentioning
confidence: 99%
“…DA analysis is to establish a discriminant model by using the samples of known categories,to discriminate the categories of unknown samples,so that the cases of wrong judgment are minimized, Chenhui Wang et al (Wang et al 2023) By utilizing LDA-ML for data dimension reduction and enhancing discriminant ability, this approach achieves an overall test discriminant accuracy of 97%. Consequently, it enables robust and sensitive differentiation of highly similar liquor products, thereby highlighting the potential application of this technology in manufacturing quality control and product certi cation.…”
Section: For the Dummy Variable Ymentioning
confidence: 99%