College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Sensors (Basel). 2013 Oct 14;13(10):13820-34. doi: 10.3390/s131013820.
Notoginseng is a classical traditional Chinese medical herb, which is of high economic and medical value. Notoginseng powder (NP) could be easily adulterated with Sophora flavescens powder (SFP) or corn flour (CF), because of their similar tastes and appearances and much lower cost for these adulterants. The objective of this study is to quantify the NP content in adulterated NP by using a rapid and non-destructive visible and near infrared (Vis-NIR) spectroscopy method. Three wavelength ranges of visible spectra, short-wave near infrared spectra (SNIR) and long-wave near infrared spectra (LNIR) were separately used to establish the model based on two calibration methods of partial least square regression (PLSR) and least-squares support vector machines (LS-SVM), respectively. Competitive adaptive reweighted sampling (CARS) was conducted to identify the most important wavelengths/variables that had the greatest influence on the adulterant quantification throughout the whole wavelength range. The CARS-PLSR models based on LNIR were determined as the best models for the quantification of NP adulterated with SFP, CF, and their mixtures, in which the rP values were 0.940, 0.939, and 0.867 for the three models respectively. The research demonstrated the potential of the Vis-NIR spectroscopy technique for the rapid and non-destructive quantification of NP containing adulterants.
三七是一种经典的传统中药，具有很高的经济和药用价值。三七粉（NP）很容易与苦参粉（SFP）或玉米粉（CF）掺假，因为它们的味道和外观相似，而且这些掺杂物的成本要低得多。本研究的目的是使用快速、无损可见近红外（Vis-NIR）光谱法定量掺假 NP 中的 NP 含量。分别使用可见光谱的三个波长范围、短波近红外光谱（SNIR）和长波近红外光谱（LNIR），基于偏最小二乘回归（PLSR）和最小二乘支持向量机（LS-SVM）两种校准方法分别建立模型。竞争自适应重加权采样（CARS）用于识别整个波长范围内对掺假定量影响最大的最重要波长/变量。基于 LNIR 的 CARS-PLSR 模型被确定为定量 NP 中掺有 SFP、CF 及其混合物的最佳模型，这三个模型的 rP 值分别为 0.940、0.939 和 0.867。研究表明，Vis-NIR 光谱技术具有快速、无损定量掺假 NP 的潜力。
