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Construction of an efficacious model for a nondestructive identification of traditional Chinese medicines Liuwei Dihuang pills from different manufacturers using near-infrared spectroscopy and moving window partial least-squares discriminant analysis.
Content Provider | Semantic Scholar |
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Author | Fu, Haiyan Huan, Shuang-Yan Jiang, Jian-Hui Wu, Hai-Long Shen, Guo-Li Yu, Ruqin |
Copyright Year | 2009 |
Abstract | This paper reports on the construction of an efficacious model for a non-invasive identification of traditional Chinese medicines, Liuwei Dihuang pills from different manufacturers, on the basis of near-infrared spectra (NIRS) coupled with moving window partial least-squares discriminant analysis (MWPLSDA). Considering the continuity of near-infrared spectral measurements, MWPLSDA is used to identify continuous and highly classification-related information intervals, a simple, yet effective classification model that can be developed for identifying accurate 150 Liuwei Dihuang pills from five different manufacturers. Meanwhile, the method is compared with some traditional pattern-recognition methods including principal component analysis (PCA), linear discriminant analysis (LDA) and partial least-squares discriminant analysis (PLSDA). The obtained results show that the method not only can reduce the operation time, but also significantly improves the classification accuracy. Hence, the nondestructive method can be expected to be promising for more practical applications on quality control and the discrimination of traditional Chinese medicine. |
File Format | PDF HTM / HTML |
Alternate Webpage(s) | https://www.jstage.jst.go.jp/article/analsci/25/9/25_9_1143/_pdf |
PubMed reference number | 19745544v1 |
Volume Number | 25 |
Issue Number | 9 |
Journal | Analytical sciences : the international journal of the Japan Society for Analytical Chemistry |
Language | English |
Access Restriction | Open |
Subject Keyword | Anterior descending branch of left coronary artery Discriminant Analysis NOC2L gene Natural Science Disciplines Pills Principal Component Analysis Spectroscopy, Near-Infrared Traditional Chinese Medicine liu-wei-di-huang wan wavelength |
Content Type | Text |
Resource Type | Article |