Institute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
School of Pharmacy, Heilongjiang University of Chinese Medicine, Key Laboratory of Medicinal Materials, Chinese Academy of Sciences, Harbin 150040, China.
Molecules. 2018 Jul 3;23(7):1617. doi: 10.3390/molecules23071617.
A model of Near Infrared Diffuse Reflectance Spectroscopy (NIR-DRS) was established for the first time to determine the content of Shengmaxinside I in the honey-fried processing of Rhizoma Cimicifugae.
Shengmaxinside I content was determined by high-performance liquid chromatography (HPLC), and the data of the honey-fried processing of Rhizoma Cimicifugae samples from different batches of different origins by NIR-DRS were collected by TQ Analyst 8.0. Partial Least Squares (PLS) analysis was used to establish a near-infrared quantitative model.
The determination coefficient R² was 0.9878. The Cross-Validation Root Mean Square Error (RMSECV) was 0.0193%, validating the model with a validation set. The Root Mean Square Error of Prediction (RMSEP) was 0.1064%. The ratio of the standard deviation for the validation samples to the standard error of prediction (RPD) was 5.5130.
This method is convenient and efficient, and the experimentally established model has good prediction ability, and can be used for the rapid determination of Shengmaxinside I content in the honey-fried processing of Rhizoma Cimicifugae.
首次建立近红外漫反射光谱（NIR-DRS）模型，以测定蜜炙加工过程中升麻素 I 的含量。
采用高效液相色谱法（HPLC）测定升麻素 I 的含量，采用 TQ Analyst 8.0 采集不同批次、不同来源的蜜炙加工样品的 NIR-DRS 数据。采用偏最小二乘法（PLS）建立近红外定量模型。
确定系数 R²为 0.9878。验证集的交叉验证均方根误差（RMSECV）为 0.0193%，验证了模型的有效性。预测均方根误差（RMSEP）为 0.1064%。验证样品的标准差与预测标准差之比（RPD）为 5.5130。
该方法方便、高效，所建立的实验模型具有良好的预测能力，可用于快速测定蜜炙加工过程中升麻素 I 的含量。
