As a kind of traditional Chinese medicinal materials coptis chinensis has a lot of medicinal value and closely related to human health, Widely used in clinical or disease prevention and treatment. So the quality of me...As a kind of traditional Chinese medicinal materials coptis chinensis has a lot of medicinal value and closely related to human health, Widely used in clinical or disease prevention and treatment. So the quality of medicinal coptis chinensis rapid determination is very important. Calibration model for determination of Coptis chinensis’ quality was built by partial least squares and near infrared spectroscopy, and the method of spectral pretreatment was discussed. Berberine and moisture content were used as evaluation index of Coptis chinensis’ quality according to traditional Chinese medicine standard in this experiment. The first derivative and vector normalization were adopted for the spectral preprocessing. The performance of the final model was evaluated according to root mean squares error of cross-validation (RMSECV), root mean square error of prediction (RMSEP) and correlation coefficient (R). According to the model of calibration set, the R values were 0.9298 and 0.8898, RMSECV were 0.239% and 0.302%. The R values of prediction set were 0.9347 and 0.9146, RMSEP were 0.104% and 0.330%, and prediction results were accurate and reliable. This method could be applied in rapid analysis of Coptis chinensis. The method was suitable for production fields and research fields, and had a wide application prospect.展开更多
文摘As a kind of traditional Chinese medicinal materials coptis chinensis has a lot of medicinal value and closely related to human health, Widely used in clinical or disease prevention and treatment. So the quality of medicinal coptis chinensis rapid determination is very important. Calibration model for determination of Coptis chinensis’ quality was built by partial least squares and near infrared spectroscopy, and the method of spectral pretreatment was discussed. Berberine and moisture content were used as evaluation index of Coptis chinensis’ quality according to traditional Chinese medicine standard in this experiment. The first derivative and vector normalization were adopted for the spectral preprocessing. The performance of the final model was evaluated according to root mean squares error of cross-validation (RMSECV), root mean square error of prediction (RMSEP) and correlation coefficient (R). According to the model of calibration set, the R values were 0.9298 and 0.8898, RMSECV were 0.239% and 0.302%. The R values of prediction set were 0.9347 and 0.9146, RMSEP were 0.104% and 0.330%, and prediction results were accurate and reliable. This method could be applied in rapid analysis of Coptis chinensis. The method was suitable for production fields and research fields, and had a wide application prospect.
