NIR Rapid Assessments of Blumea balsamifera (Ai-na-xiang) in China

文献类型： 外文期刊

第一作者： Yu, Fu-Lai

作者： Yu, Fu-Lai;Huang, Mei;Wang, Dan;Zhang, Ying-Bo;Hu, Xuan;Chen, Xiao-Lu;Pang, Yu-Xin;Zhao, Na;Zhao, Na;Wu, Zhi-Sheng;Huang, Lu-Qi;Pang, Yu-Xin;Pang, Yu-Xin

作者机构：

关键词： Blumea balsamifera;NIR;l-borneol;total flavone;rapid assessments;green chemistry

期刊名称：MOLECULES （ 影响因子：4.411； 五年影响因子：4.587 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： Blumea balsamifera (Ai-na-xiang) is used as an important plant source of natural borneol, which is widely used in the pharmaceutical industry. The aim of this study was to establish the methods based on near infrared (NIR) spectroscopy for determining the geographical origin of B. balsamifera, as well as developing a method for the quantitative rapid analysis of the active pharmaceutical ingredients (APIs). A total of 109 samples were collected from China in 2013 and arbitrarily divided into calibration and prediction sets using the Kennard-Stone algorithm. The l-borneol and total flavone contents of the samples were measured by gas chromatography and ultraviolet-visible spectroscopy, respectively. The NIR spectra were acquired using an integrating sphere and a partial least squares (PLS) model was built using the optimum wavelength regions, which were selected using a synergy interval partial least-squares (SiPLS) algorithm. The root mean square errors of prediction of the l-borneol and total flavone models were 0.0779 and 2.2694 mg/g, with R-2 of 0.9069 and 0.8013, respectively. A discriminant model to determine the geographical origin of B. balsamifera (Guizhou and Hainan) was also established using a partial least squares discriminant analysis method with an optimum pretreatment method. The prediction accuracy rate of the model was 100%. NIR spectroscopy can be used as a reliable and environmentally friendly method to determine the API and the origin of different B. balsamifera samples.

分类号： O62

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