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To study the fingerprint of volatile oil from Kadsura heteroclita by GC-MS. 10 batches of Kadsura heteroclita were analyzed by GC-MS. TIC profiles were evaluated by" computer aided similarity evaluation system". The characteristic peaks in chromatograms were identified. Hierarchical clustering analysis was performed by SPSS. 23 main peaks was established preliminarily from 10 batches. Resemblance values of 10 batches were a little low. 10 batches were divided into three main clusters based on hierarchical clustering analysis. With Good reproducibility, fingerprints established for volatile oil from Kadsura heteroclita provides an effective method for quality control.

Citation

Hao-yan Jiao, Yu-sheng Wang, Yao Liu, Qing-fa Tang. GC-MS study on fingerprint of volatile oil from Kadsura heteroclita]. Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials. 2012 Sep;35(9):1431-4

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PMID: 23451498

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