Establishment of different origin Peganum harmala qualitative discrimination model based on near-infrared spectroscopy.
- Author:
Li LI
;
Ying LI
;
Ting-yuan WANG
- Publication Type:Journal Article
- MeSH:
Cluster Analysis;
Models, Theoretical;
Peganum;
chemistry;
Principal Component Analysis;
Spectroscopy, Near-Infrared;
methods
- From:
China Journal of Chinese Materia Medica
2015;40(14):2862-2865
- CountryChina
- Language:Chinese
-
Abstract:
The optic-fiber sensor technology combined with near-infrared diffuse reflection spectroscopy was applied to directly analyze Peganum harmala and identify different origin of P. harmala on the basis of principal component analysis, clustering analysis, SIMCA method, which resulted in the establishment of a new method to rapidly and nondestructively identify the origin of P. harmala. The original full wavelength spectrum for principal component analysis and the score of first two principal components can distinguish four origins of P. harmala basically. In the wavelength range of 866-2,507 nm, MSC as pretreatment method to establish the best model of clustering analysis to forecast the samples with the accuracy of 91.67%, can distinguish the four origins of P. harmala while in the wavelength of 1,085-2,507 nm, normalization method as pretreatment methods to establish a best model of SIMCA to forecast the sample, all the samples except for the changji sample have been identified with a total recognition rate of 97.22%. The results show that using near infrared diffuse reflectance spectroscopy combined with SIMCA is the best method that can be effectively used to identify the P. harmala.
