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2014年全国中药炮制学术年会暨中药饮片创新发展论坛及协同创新联盟会议

作者： Jun Jiang Xiaobin Jia Affiliated Hospital on Integration of Chinese and Western Medicine Nanjing University of Chinese Medicine Key Laboratory of New Drug Delivery System of Chinese Meteria Medica Jiangsu Provincial Academy of Chinese Medicine

To profile the fatty acids(FAs) composition of suet oil(SO),a precolumn methylesterification(PME) combined with gas chromatography quadrupole mass spectrometry(GC-EI-qMS) was reported in this *** optimal condition of PME,including methyl reagent volume(10 mL),temperature(60 ℃) and time(10 min) were investigated by Box-Behnken design(BBD).Spectral library(NIST 08) and/or standard compounds were used to identify up to 25 FAs in SO,representing 90.89%of the total peak *** then,10 main FAs derivatized into fatty acid methyl esters(FAMEs) were quantified by *** correlation coefficient of 10 FAMEs were all at 0.999 while the lowest quantified level was 0.01 μg/*** recoveries of 10 FAMEs were 82.1%-98.7%with relative standard deviations of 2.2%-6.8%.The method detection limits(LOQ) were1.25-5.95 ug/*** FAs composition distributed widely from 12 to 20 carbon,in which hexadecanoic acid and octadecanoic acid were the main ingredients in *** then,Eighteen SO samples purchased from Qinhai,Anhui and Jiangsu were successfully classified into three groups by principal component analysis(PCA) according to the contents of ten detected *** results showed that all SO samples were rich in FAs but with significant difference corresponding to different *** proposed method could be useful in quality control and could probably be used for SO differentiation based on the FAs metabolomic profile.

关键词： suet oil(SO) composition profiles fatty acids(FAs) GC-EI-qMS chemometrics analysis

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Identification of three kinds of Plumeria flowers by DNA barcoding and HPLC specific chromatogram

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Journal of Pharmaceutical analysis 2018年第3期8卷 176-180页

作者： Leilei Zhao Xiaoxue Yu Jie Shen Xinjun Xu School of Pharmaceutical Sciences Sun Yat-sen University Guangzhou 510006 China Guangdong Technology Research Center for Advanced Chinese Medicine Guangzhou China

DNA barcoding and HPLC specific chromatogram were used to identify three kinds of Plumeria flowers respectively. DNAs extracted from the three Plumeria species were amplified by PCR with universal primers, and the psbA-trnH region was selected. All the amplified products were sequenced and the results were analyzed by MEGA 5.0. Chemometric methods including principal components analysis and hierarchical clustering analysis were conducted on the SAS 9.0 software to demonstrate the variability among samples. In conclusion, the psbA-trnH of all samples were successfully amplified from total DNA and sequenced. These three varieties of Plumeria can be differentiated by the psbA-trnH region and clustered into three groups respectively through building neighbor joining tree, which conformed to their germplasm origins. However, it was hard to distinguish them by HPLC specific chromatograms combined with chemometrics analysis. These indicated that DNA barcoding was a promising and reliable tool for the identification of three kinds of Plumeria flowers compared to HPLC specific chromatogram generally used. It could be treated as a powerful complementary method for traditional authentication, especially for those varieties which are difficult to be identified by conventional chromatography.

关键词： Plumeria DNA barcoding HPLC specific chromatogram chemometrics analysis Identification

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