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Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics
Joint Authors
Xu, Lu
Yang, Tianming
Shi, Qiong
Fu, Hai-Yan
Xie, Shunping
Hu, Ou
Guo, Xiaoming
Lan, Wei
Wei, Liuna
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Fourier transform near-infrared (NIR) spectroscopy and mid-infrared (MIR) spectroscopy play important roles in all fingerprint techniques because of their unique characteristics such as reliability, versatility, precision, and ease of measurement.
In this paper, a supervised pattern recognition method based on the PLSDA algorithm by NIR and the NIR-MIR fusion spectra has been established to identify geoherbalism of Angelica dahurica from different regions and authenticity of Corydalis yanhusuo W.
T.
Wang.
Comparing principle component analysis (PCA) cannot successfully identify geographical origins of Angelica dahurica.
Linear discriminant analysis (LDA) also hardly distinguishes those origins.
Furthermore, the PLSDA model based on the data fusion of NIR and IR was more accurate and efficient.
But, the identification of authenticity of Corydalis yanhusuo W.
T.
Wang was still inaccurate in the PLSDA model.
Consequently, data fusion of NIR-MIR original spectra combined with moving window partial least-squares discriminant analysis was firstly used and showed perfect properties on authenticity and adulteration discrimination of Corydalis yanhusuo W.
T.
Wang.
It indicated that data fusion of NIR-MIR spectra combined with MWPLSDA could be considered as the promising tool for rapid discrimination of the geoherbalism and authenticity of more Chinese herbs in the future.
American Psychological Association (APA)
Fu, Hai-Yan& Shi, Qiong& Wei, Liuna& Xu, Lu& Guo, Xiaoming& Hu, Ou…[et al.]. 2019. Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics. Journal of Spectroscopy،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1192013
Modern Language Association (MLA)
Fu, Hai-Yan…[et al.]. Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics. Journal of Spectroscopy No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1192013
American Medical Association (AMA)
Fu, Hai-Yan& Shi, Qiong& Wei, Liuna& Xu, Lu& Guo, Xiaoming& Hu, Ou…[et al.]. Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics. Journal of Spectroscopy. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1192013
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192013