| Autor: |
Shi Y; National Institutes for Food and Drug Control Beijing 102629, China., Yao LW; National Institutes for Food and Drug Control Beijing 102629, China., Wei F; National Institutes for Food and Drug Control Beijing 102629, China., Ma SC; National Institutes for Food and Drug Control Beijing 102629, China. |
| Jazyk: |
čínština |
| Zdroj: |
Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica [Zhongguo Zhong Yao Za Zhi] 2023 Feb; Vol. 48 (4), pp. 921-929. |
| DOI: |
10.19540/j.cnki.cjcmm.20221017.103 |
| Abstrakt: |
In this study, rapid evaporative ionization mass spectrometry(REIMS) fingerprints of 388 samples of roots of Pulsatilla chinensis(PC) and its common counterfeits, roots of P. cernua and roots of Anemone tomentosa were analyzed based on REIMS combined with machine learning. The samples were determined by REIMS through dry burning, and the REIMS data underwent cluster analysis, similarity analysis(SA), and principal component analysis(PCA). After dimensionality reduction by PCA, the data were analyzed by similarity analysis and self-organizating map(SOM), followed by modeling. The results indicated that the REIMS fingerprints of the samples showed the characteristics of variety differences and the SOM model could accurately distinguish PC, P. cernua, and A. tomentosa. REIMS combined with machine learning algorithm has a broad application prospect in the field of traditional Chinese medicine. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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