Authenticity discrimination of Pulsatillae Radix based on dry-process REIMS fingerprinting combined with machine learning / 中国中药杂志
China Journal of Chinese Materia Medica
; (24): 921-929, 2023.
Artículo
en Chino
| WPRIM (Pacífico Occidental)
| ID: wpr-970563
Biblioteca responsable:
WPRO
ABSTRACT
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.
Texto completo:
Disponible
Base de datos:
WPRIM (Pacífico Occidental)
Asunto principal:
Algoritmos
/
Anemone
/
Aprendizaje Automático
/
Medicina Tradicional China
Idioma:
Chino
Revista:
China Journal of Chinese Materia Medica
Año:
2023
Tipo del documento:
Artículo