杜仲
绿原酸
化学
偏最小二乘回归
色谱法
定量分析(化学)
红外光谱学
傅里叶变换红外光谱
分析化学(期刊)
有机化学
数学
化学工程
病理
工程类
统计
中医药
替代医学
医学
作者
Mayowa Oyebanji,Xuan Dong,Qianqian Zhang,Guohua Yao,Qing Huang
标识
DOI:10.1080/00387010.2021.1963286
摘要
Eucommia ulmoides Oliver shows various medicinal functions in both in-vitro and in-vivo studies, and its chlorogenic acid component has been indicated as one of the major bioactive compounds exerting pharmacological effects. At present, the high-performance liquid chromatography technique is the conventional method used for the quantification of chlorogenic acids, but it requires expensive instrumentation and complicated operation. In the current research, near-infrared spectroscopy was employed for the quantitative analysis of chlorogenic acid in Eucommia ulmoides. The quantification model was established based on near-infrared spectroscopy spectra for analysis of chlorogenic acids in the ethanol-aqueous extract from Eucommia ulmoides leaf. A partial least squares regression was employed for the quantitative model development and test validation was adopted to validate the regression model. The optimized ranges for the quantitative model are 4381.7–4034.6 cm−1 and 6815.5–6471.6 cm−1 with the pretreatment of data using the first derivative and vector normalization of the near-infrared spectra, with the rank = 5, coefficient of determination = 0.8843, residual predictive deviation = 3.18, and root mean square error of prediction = 1.37. This work, therefore, provides an effective and convenient method for the rapid quantitative analysis of chlorogenic acid content in Eucommia leaf.
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