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author:

Pan, Wei (Pan, Wei.) [1] | Wu, Mei (Wu, Mei.) [2] | Zheng, Zhenzhu (Zheng, Zhenzhu.) [3] | Guo, Longhua (Guo, Longhua.) [4] | Lin, Zhenyu (Lin, Zhenyu.) [5] (Scholars:林振宇) | Qiu, Bin (Qiu, Bin.) [6] (Scholars:邱彬)

Indexed by:

Scopus SCIE

Abstract:

Pseudostellaria heterophyllais a very popular traditional Chinese medicine herb, also called "Taizishen." Discrimination ofP. heterophyllafrom different regions is critical for ensuring the effectiveness of drug use, because the drug effects ofP. heterophyllafrom different regions are diversity of each other. To discriminateP. heterophyllafrom different regions rapidly and effectively, a model extracted by competitive adaptive reweighted sampling (CARS) was established. Original spectra ofP. heterophyllain wave number range of 10,000 to 4,000 cm(-1)were acquired. Orthogonal partial least squares discriminant analysis (OPLS-DA) was also used to establish a suitable model. CARS was performed for extracting key wave number variables. We found that the near-infrared spectrum of a series of samples analyzed by Row-center-SG, CARS, and OPLS-DA can effectively distinguish theP. heterophyllafrom different regions, and the accuracy of OPLS-DA model is also satisfactory in terms of good discrimination rate. These results show that the Row-center-SG, CARS, and OPLS-DA model can be used to identify theP. heterophyllafrom different regions. Practical Application According to our research results, we can draw a conclusion that our research results may be used to distinguish the traditional Chinese medicine from those from different places of origin and the powder with similar appearance.

Keyword:

competitive adaptive reweighted sampling FT-NIR spectroscopy orthogonal partial least squares discriminant analysis Pseudostellaria heterophylla

Community:

  • [ 1 ] [Pan, Wei]Fujian Acad Agr Sci, Inst Agr Qual Stand & Testing Technol Res, Fuzhou 350003, Fujian, Peoples R China
  • [ 2 ] [Wu, Mei]Fuzhou Univ, Dept Chem, Fujian Prov Key Lab Anal & Detect Technol Food Sa, MOE Key Lab Anal & Detect Food Safety, Fuzhou 350116, Fujian, Peoples R China
  • [ 3 ] [Guo, Longhua]Fuzhou Univ, Dept Chem, Fujian Prov Key Lab Anal & Detect Technol Food Sa, MOE Key Lab Anal & Detect Food Safety, Fuzhou 350116, Fujian, Peoples R China
  • [ 4 ] [Lin, Zhenyu]Fuzhou Univ, Dept Chem, Fujian Prov Key Lab Anal & Detect Technol Food Sa, MOE Key Lab Anal & Detect Food Safety, Fuzhou 350116, Fujian, Peoples R China
  • [ 5 ] [Qiu, Bin]Fuzhou Univ, Dept Chem, Fujian Prov Key Lab Anal & Detect Technol Food Sa, MOE Key Lab Anal & Detect Food Safety, Fuzhou 350116, Fujian, Peoples R China
  • [ 6 ] [Zheng, Zhenzhu]QuanZhou Womens & Childrens Hosp, Quanzhou, Fujian, Peoples R China

Reprint 's Address:

  • 邱彬

    [Qiu, Bin]Fuzhou Univ, Dept Chem, Fujian Prov Key Lab Anal & Detect Technol Food Sa, MOE Key Lab Anal & Detect Food Safety, Fuzhou 350116, Fujian, Peoples R China

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Source :

JOURNAL OF FOOD SCIENCE

ISSN: 0022-1147

Year: 2020

Issue: 7

Volume: 85

Page: 2004-2009

3 . 1 6 7

JCR@2020

3 . 2 0 0

JCR@2023

ESI Discipline: AGRICULTURAL SCIENCES;

ESI HC Threshold:116

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 19

SCOPUS Cited Count: 19

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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