Literature DB >> 24378625

Rapid discrimination of geographical origin and evaluation of antioxidant activity of Salvia miltiorrhiza var. alba by Fourier transform near infrared spectroscopy.

Xiaoju Duan1, Danlu Zhang1, Lei Nie2, Hengchang Zang3.   

Abstract

Radix Salvia miltiorrhiza Bge. var. alba C.Y. Wu and H.W. Li and Radix S. miltrorrhiza belong to the same genus. S. miltiorrhiza var. alba has a unique effectiveness for thromboangiitis besides therapeutical efficay of S. miltrorrhiza. It exhibits antioxidant activity (AA), while its quality and efficacy also vary with geographic locations. Therefore, a rapid and nondestructive method based on Fourier transform near infrared spectroscopy (FT-NIRS) was developed for discrimination of geographical origin and evaluation of AA of S. miltiorrhiza var. alba. The discrimination of geographical origin was achieved by using discriminant analysis and the accuracy was 100%. Partial least squares (PLS) regression was employed to establish the model for evaluation of AA by NIRS. The spectral regions were selected by interval PLS (i-PLS) method. Different pre-treated methods were compared for the spectral pre-processing. The final optimal results of PLS model showed that correlation coefficients in the calibration set (Rc) and the prediction set (Rp), root mean square error of prediction (RMSEP) and residual prediction deviation (RPD) were 0.974, 0.950, 0.163 mg mL(-1) and 2.66, respectively. The results demonstrated that NIRs combined with chemometric methods could be a rapid and nondestructive tool to discriminate geographical origin and evaluate AA of S. miltiorrhiza var. alba. The developed NIRS method might have a potential application to high-throughput screening of a great number of raw S. miltiorrhiza var. alba samples for AA.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antioxidant activity; Discriminant analysis; Near infrared spectroscopy; Partial least square regression; S. miltiorrhiza var. alba

Mesh:

Substances:

Year:  2013        PMID: 24378625     DOI: 10.1016/j.saa.2013.12.003

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  5 in total

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Authors:  Daniel Cozzolino
Journal:  Antioxidants (Basel)       Date:  2015-07-02

2.  Application of variable selection in the origin discrimination of Wolfiporia cocos (F.A. Wolf) Ryvarden & Gilb. based on near infrared spectroscopy.

Authors:  Tianjun Yuan; Yanli Zhao; Ji Zhang; Yuanzhong Wang
Journal:  Sci Rep       Date:  2018-01-08       Impact factor: 4.379

Review 3.  Species authentication and geographical origin discrimination of herbal medicines by near infrared spectroscopy: A review.

Authors:  Pei Wang; Zhiguo Yu
Journal:  J Pharm Anal       Date:  2015-04-24

Review 4.  Application of High-Throughput Sequencing on the Chinese Herbal Medicine for the Data-Mining of the Bioactive Compounds.

Authors:  Xiaoyan Liu; Xun Gong; Yi Liu; Junlin Liu; Hantao Zhang; Sen Qiao; Gang Li; Min Tang
Journal:  Front Plant Sci       Date:  2022-07-14       Impact factor: 6.627

5.  Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection.

Authors:  Lianqing Zhu; Haitao Chang; Qun Zhou; Zhongyu Wang
Journal:  J Anal Methods Chem       Date:  2018-01-29       Impact factor: 2.193

  5 in total

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