title: On-line monitoring of extraction process of Flos Lonicerae Japonicae using near infrared spectroscopy combined with synergy interval PLS and genetic algorithm.
abstract: There is a growing need for the effective on-line process monitoring during the manufacture of traditional Chinese medicine to ensure quality consistency. In this study, the potential of near infrared (NIR) spectroscopy technique to monitor the extraction process of Flos Lonicerae Japonicae was investigated. A new algorithm of synergy interval PLS with genetic algorithm (Si-GA-PLS) was proposed for modeling. Four different PLS models, namely Full-PLS, Si-PLS, GA-PLS, and Si-GA-PLS, were established, and their performances in predicting two quality parameters (viz. total acid and soluble solid contents) were compared. In conclusion, Si-GA-PLS model got the best results due to the combination of superiority of Si-PLS and GA. For Si-GA-PLS, the determination coefficient (Rp2) and root-mean-square error for the prediction set (RMSEP) were 0.9561 and 147.6544μg/ml for total acid, 0.9062 and 0.1078% for soluble solid contents, correspondingly. The overall results demonstrated that the NIR spectroscopy technique combined with Si-GA-PLS calibration is a reliable and non-destructive alternative method for on-line monitoring of the extraction process of TCM on the production scale.
authors.affiliation: College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
authors.forename: Yue
authors.initials: Y
authors.lastname: Yang
authors.affiliation: College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Wang
authors.affiliation: College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
authors.forename: Yongjiang
authors.initials: Y
authors.lastname: Wu
authors.affiliation: College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
authors.forename: Xuesong
authors.initials: X
authors.lastname: Liu
authors.affiliation: Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang 222001, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Bi
authors.affiliation: Jiangsu Kanion Pharmaceutical Co., Ltd., Lianyungang 222001, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Xiao
authors.affiliation: College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China. Electronic address: chenyong1@zju.edu.cn.
authors.forename: Yong
authors.initials: Y
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D004867:Equipment Design; D016018:Least-Squares Analysis; D031239:Lonicera; D008956:Models, Chemical; D010936:Plant Extracts / Q000032:analysis / Q000737:chemistry* / Q000302:isolation & purification*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
chemical_list: D010936:Plant Extracts; C588038:lonicerae flos
keywords: Extraction; Genetic algorithm (GA); Near infrared spectroscopy; On-line monitoring; Si-GA-PLS; Synergy interval PLS (Si-PLS)