Establishment of fingerprint of Ginkgo biloba leaves and study on its quality evaluation / 中草药

To compare the quality Ginkgo biloba L. leaves collected form various habitats, different tree ages, and different harvesting times and to confirm the source of G. biloba leave used in Xin Mai Capsule. To establish the HPLC fingerprint of G. biloba leaves to determine the fingerprint and content of total flavonol glucoside and terpene lactones in G. biloba leaves collected from various habitats, different tree ages, and different harvesting time, and then to analyze the results. The contents of total flavonol glucoside and terpene lactones and fingerprint similarity in G. biloba leaves from various regions, different tree ages, and collecting times were different. The fingerprint control method has provided the scientific basis for the reasonable collection and quality evaluation of G. biloba leaves. The G. biloba leaves in June to August, 2-3 year-old from Pizhou, Jiangsu province are better, which could be considered as the source of G. biloba leaves used in Xin Mai Capsule.

Qualitative and quantitative detection of Poria cocos by near infrared reflectance spectroscopy / 中国中药杂志

<p><b>OBJECTIVE</b>The present study is concerning qualitative and quantitative detection of Poria cocos quality based on FT-near infrared (FT-NIR) spectroscopy combined with chemometrics.</p><p><b>METHOD</b>The Poria cocos polysaccharides contents were determined by UV. Transmission mode was used in the collection of NIR spectral samples. The pretreatment method was first derivation and vector normalization. Then principal component analysis (PCA) was used to build classification model and partial least square (PLS) to build the calibration model.</p><p><b>RESULT</b>The results showed that conventional criteria such as the R, root mean square error of calibration (RMSEC), and the root mean square error of prediction (RMSEP) are 0.944 0, 0.072 1 and 0.076 2, respectively. The misclassified sample is 0 using the qualitative model built by PCA.</p><p><b>CONCLUSION</b>The prediction models based on NIR have a better performance with high precision, good stability and adaptability and can be used to predict the polysaccharose content of Poria cocos rapidly, which can provide a fast approach to discriminate the different parts of Poria cocos.</p>

Variation analysis on triterpene compounds in hawthorn from different regions / 中草药

Objective: To establish an HPLC method for the content determination of ursolic acid and oleanolic acid in hawthorn (Crataegi Fructus) from different regions, whose differences were compared. Methods: Waters Symmetry C18 column (4.6 mm× 250 mm, 5 μm) was used with the mobile phase of acetonitrile-methanol-0.5% ammonium acetate (69:12:19) at a flow rate of 1 mL/min. The detection wavelength was set at 210 nm and the column temperature was 30°C. To determine the content of hawthorn from 10 different regions, variance analysis and cluster analysis were carried out for the results. Results: The linear ranges of ursolic acid and oleanolic acid were 0.078-0.780 mg/mL(r = 0.9998, n = 6) and 0.0169-0.169 mg/mL (r = 0.9996, n = 6), respectively. The average recoveries of the two components were 102.6% and 100.2%, in accordance with the determination requirement in Chinese Pharmacopoeia 2010. Conclusion: This method is simple, quick, accurate, and has better reproducibility for the determination of triterpene compounds in hawthorn. And hawthorn from Chengde and Jiangsu provinces is better. It could be used as the origin of hawthorn in the prescription of Xin mai Capsule.