Li Wei, Sun Suqin, Qin Jieping, Yi Yanhong, Yang Meihua
Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100193, China.
Zhongguo Zhong Yao Za Zhi. 2010 Dec;35(24):3318-21.
To establish a rapid determination method of pinoresinol diglucoside in Eucommiae unloads by near-infrared reflectance spectroscopy (NIRS).
Forty-one samples of E. unloads were collected from three different producing areas and their main component, namely pinoresinol diglucoside, was determined by HPLC. Corresponding data of samples were collected from 12 000 to 4 000 cm(-1) by near-infrared reflectance spectroscopy. The spectral pretreatment was optimized by OPUS software and the calibration equations between the content of pinoresinol diglucoside and spectrum data were constructed by partial least squares regression.
Available information could be extracted from spectra in the range from 7 502 to 4 597.6 cm(-1) after corrected by applying second derivative transformation and subtract a linear correction. Cross validation was used to prevent over-fitting. Good correlation existed between pinoresinol diglucoside content and NIR spectra ( R2 = 0.926 4, SEC = 0.029 and SEP = 0.066 2).
NIRS calibration equations developed in this study could be applied to the rapid analysis of the pinoresinol diglucoside content.
建立近红外反射光谱法(NIRS)快速测定杜仲中松脂醇二葡萄糖苷的方法。
从三个不同产地采集41份杜仲样品,采用高效液相色谱法测定其主要成分松脂醇二葡萄糖苷。通过近红外反射光谱法采集样品在12 000至4 000 cm⁻¹范围内的相应数据。利用OPUS软件优化光谱预处理,并采用偏最小二乘法回归建立松脂醇二葡萄糖苷含量与光谱数据之间的校正方程。
经二阶导数变换校正并减去线性校正后,在7 502至4 597.6 cm⁻¹范围内的光谱中可提取有效信息。采用交叉验证防止过拟合。松脂醇二葡萄糖苷含量与近红外光谱之间存在良好的相关性(R² = 0.926 4,SEC = 0.029,SEP = 0.066 2)。
本研究建立的近红外光谱校正方程可用于松脂醇二葡萄糖苷含量的快速分析。