绿原酸
化学
酸枣
色谱法
芦丁
枣属
化学计量学
棕榈油酸
偏最小二乘回归
化学型
芍药苷
线性判别分析
代谢组学
高效液相色谱法
精油
棕榈酸
植物
人工智能
数学
生物
有机化学
脂肪酸
统计
计算机科学
抗氧化剂
作者
Sheng Guo,Jin‐Ao Duan,Yuping Tang,Dawei Qian,Zhenhua Zhu,Yefei Qian,Erxin Shang,Shulan Su
标识
DOI:10.1002/jssc.201000788
摘要
Abstract To rapidly explore the differentiating components and the potential chemical markers for discrimination between those Chinese medicinal herbs with similar chemical characteristics, an ultra‐high‐performance liquid chromatography (UHPLC)‐TOFMS coupled with multivariate statistical analysis method was proposed and validated by using two Ziziphus species ( Z. jujuba and Z. jujuba var. spinosa ) as the model herbs. After the samples were analyzed using UHPLC‐TOFMS, the data sets of retention time (RT)‐ m / z pairs, ion intensities and sample codes were further processed with orthogonal partial least squared discriminant analysis (OPLS‐DA) to holistically compare the difference between the fruits of these two Ziziphus species, and to generate an S‐plot. Those compounds correlating to the points at the two ends of “S” were regarded as the most differentiating components between these two kinds of samples. By comparing the mass/UV spectra and retention times with those of reference compounds, these components were finally characterized as zizyberenalic acid, palmitoleic acid, oleic acid, pomonic acid and rutin, and these compounds would be the potential chemical markers for discrimination of these jujube products. The results suggested that this newly established approach could be used to rapidly determine the subtle differences and explore the potential chemical markers for differentiation within the herbs with similar chemical ingredients.
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