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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.
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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
Affiliated Colleges: