Rapid Identification of Dens Draconis and its Adulterants by NIR Correlation Coefficient Method / 中国药师

Objective:To develop a qualitative analysis model for the fast identification of Dens Draconis and its adulterants by NIR correlation coefficient method. Methods:On the basis of the traditional morphological identification, the spectra were collected u-sing the fiber accessory of a near-infrared spectroradiometer. The reference spectra were set up using the NIR spectra of certified Dens Draconis. The characteristic spectral section was chosen and the appropriate threshold was set to establish a qualitative analysis model for the rapid identification of Dens Draconis and its adulterant. Results:The spectral section of 5 000-4 200 cm-1 was selected as the characteristic spectral section, the correlation coefficient of Dens Draconis and its adulterant was calculated in training set samples, and 92. 67% was used as the threshold. Totally 10 batches of validation set samples were validated the qualitative analysis model, and the prediction accuracy was 90%. Conclusion:The method has good prediction ability, and can be used in the rapid identification of Dens Draconis and its adulterant.

Rapid Identification of Two Groups of Chinese Medicinals from Fossil Using Near-infrared Diffuse Reflectance Spectroscopy Method / 世界科学技术-中医药现代化

This study was aimed to establish a qualitative model of near-infrared spectroscopy in order to accurately and rapidly identify several mineral Chinese medicinals from fossil including Os Draconis, Dens Draconis, Fossil Shell of Spirifer, and Fossil Crabs. The near-infrared diffuse reflectance spectroscopy combined with OPUS software was used to analyze the spectral characteristics of these samples. The pattern recognition method was explored through cluster analysis. And the accuracy of the model was verified. The results showed that these mineral Chinese medicinals from fossil had their characteristics absorption so that they can be quickly and accurately differentiated from each other through pattern recognition method. It was concluded that based on near-infrared spectroscopic mod-eling, these mineral Chinese medicinals from fossil including Os Draconis, Dens Draconis, Fossil Shell of Spirifer, and Fossil Crabs can be quickly and accurately identified.