化学计量学
色谱法
化学
指纹(计算)
计算生物学
生物
人工智能
计算机科学
作者
Huan Li,Xingqun Gong,Zichen Wang,Chun Pan,Yang Zhao,Xiangdong Gao,Wei Liu
标识
DOI:10.1016/j.ijbiomac.2018.11.103
摘要
Multiple techniques including high performance size-exclusion chromatography (HPSEC), Fourier-transform infrared spectroscopy (FT-IR) and pre-column derivatization high-performance liquid chromatography (PCD-HPLC) were applied to the fingerprint analysis of the polysaccharides from Sarcandra glabra (SGPs) in different regions. Chemometrics was used to evaluate the similarity and differences of SGPs from different regions based on their fingerprints. The results of the present study showed that polysaccharides from 18 batches of Sarcandra glabra had a high degree of similarity based on the HPSEC, PCD-HPLC, and FT-IR fingerprints. The samples from different regions could be classified by clustering analysis based on their nuances. The five monosaccharides (Gal, Rha, Xyl, GlcA, and Glc) and the wavelengths of FT-IR (3371 cm−1 and 1411 cm−1) could be selected as herb markers for the quality control of Sarcandra glabra.
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