Reliability of online near-infrared spectroscopy analysis of the ex-traction process of Huatan Qushi decoction for phlegm-dampness constitution

作     者：Zhao Shipeng Zheng Yanfei Li Pin Liang Xue Bao Lei Chen Yu Yu Ruoxi Sun Ranran Li Lingru Wang Qi 

作者机构：College of Traditional Chinese MedicineBeijing University of Chinese MedicineBeijing 100029China 

出 版 物：《Journal of Traditional Chinese Medicine》 (中医杂志（英文版）)

年 卷 期：2017年第37卷第6期

页      面：804-809页

核心收录：

学科分类：1008[医学-中药学(可授医学、理学学位)] 1007[医学-药学(可授医学、理学学位)] 1006[医学-中西医结合] 1005[医学-中医学] 1002[医学-临床医学] 100602[医学-中西医结合临床] 10[医学] 

基　　金：Supported by the Chinese National Natural Science Foundation(Study on Differences between the Deficiency-Constitution and Access-Constitution Obesity based on Inhibition at Initiation and Degradation Step of Macrophages Autophagy and Its Epigenetic Regulation Mechanisms,No.81030064) the Beijing Natural Science Foundation(Mechanism of Phlegm-dampness Constitution Turning to Mebabolic Disorders and Effect on Recipe for Reducing Phlegm and Expelling Dampness Based on Technigue of MIcro RNA Chip,No.7162118) 

主　　题：Spectroscopy, near-infrared Least-squares analysis Hesperidin Phlegm dampness Huatan Qushi decoction 

摘      要：OBJECTIVE: To establish a quantitative model for the online analysis of hesperidin content in the extraction process of Huatan Qushi decoction for individuals with phlegm-dampness constitution by using near-infrared(NIR) spectroscopy and partial least squares(PLS) ***: The reference content of hesperidin, an effective ingredient of Huatan Qushi decoction,was determined using high-performance liquid chromatography(HPLC). The modeling band was selected using synergy interval PLS(Si PLS) algorithms, and a PLS model demonstrating the relationship between NIR predictive values and HPLC reference values was established. The optimal modeling route was selected through global optimization of process trace ***: The root mean square error of cross-validation was 9.8410. The coefficients of determination of the calibration set and prediction set were0.9860(R2 cal) and 0.9458(R_(cal)~2), respectively. The residual predictive deviation was 3.0115. The parameters demonstrated high predictive capability and reliability. The band was selected via the Si PLS method. There were seven latent ***: This study provides a favorable comprehensive evaluation method for variable selection and quality control of the Traditional Chinese Medicine extraction process.