• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 9, 2875 (2022)
Wei CHEN1、1;, Hai-long WU1、1; *;, Tong WANG1、1; *;, Yue-yue CHANG1、1;, Yao CHEN2、2;, Jian YANG3、3;, Hai-yan FU4、4;, Xiao-long YANG4、4;, Xu-fu LI5、5;, and Ru-qin YU1、1;
Author Affiliations
  • 11. State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
  • 22. Hunan Key Lab of Biomedical Materials and Devices, College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou 412008, China
  • 33. National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, State Key Laboratory Breeding Base of Dao-di Herbs, Beijing 100700, China
  • 44. The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan 430074, China
  • 55. Beijing Tongrentang Pingjiang Atractylodes Macrocephala Koidz. Co., Ltd., Pingjiang 414500, China
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    DOI: 10.3964/j.issn.1000-0593(2022)09-2875-09 Cite this Article
    Wei CHEN, Hai-long WU, Tong WANG, Yue-yue CHANG, Yao CHEN, Jian YANG, Hai-yan FU, Xiao-long YANG, Xu-fu LI, Ru-qin YU. Origin Traceability of Atractylodes Macrocephala Koidz. by Using Three-Way Fluorescence Coupled With Chemometrics[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2875 Copy Citation Text show less

    Abstract

    Atractylodes macrocephala Koidz. (AM) is a famous traditional Chinese medicine, the quality of AM is directly related to the producing area, so it is urgent to find a method to quickly identify the quality of AM and trace its origin. AM contains various endogenous fluorescent substances, which can provide a basis for identifying the origin of AM by three-way fluorescence technology. In this paper, the three-way fluorescence spectrum of AM was characterized by alternating trilinear decomposition (ATLD), and then three-way fluorescence was combined with partial least squares discriminant analysis (PLS-DA) and k-Nearest Neighbors (kNN) to trace the origin of AM samples. The results show that the classification models established by PLS-DA and kNN could effectively distinguish samples from the three major AM production areas (Anhui, Hunan, and Zhejiang), and the classificationaccurate rate (CCR) of Zhejiang AM, a Dao-di AM herbs, is as high as 80% and 90 in the prediction set, respectively. The proposed method provides a novel and rapid solution for the origin traceability of AM, which is conducive to maintaining the order of AM market and its industrial development.
    Wei CHEN, Hai-long WU, Tong WANG, Yue-yue CHANG, Yao CHEN, Jian YANG, Hai-yan FU, Xiao-long YANG, Xu-fu LI, Ru-qin YU. Origin Traceability of Atractylodes Macrocephala Koidz. by Using Three-Way Fluorescence Coupled With Chemometrics[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2875
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