Research on optimal modeling strategy for licorice extraction process based on near-infrared spectroscopy technology.

Author: Hai-Xia WANG ¹ ; Tong-Chuan SUO ¹ ; He-Shui YU ¹ ; Zheng LI ¹
Author Information

1. College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
Publication Type:Journal Article
Keywords: PARAFAC; dynamic monitoring; licorice; near infrared spectroscopy; process analysis; quality control
From: China Journal of Chinese Materia Medica 2016;41(19):3537-3542
CountryChina
Language:Chinese
Abstract: The manufacture of traditional Chinese medicine (TCM) products is always accompanied by processing complex raw materials and real-time monitoring of the manufacturing process. In this study, we investigated different modeling strategies for the extraction process of licorice. Near-infrared spectra associate with the extraction time was used to detemine the states of the extraction processes. Three modeling approaches, i.e., principal component analysis (PCA), partial least squares regression (PLSR) and parallel factor analysis-PLSR (PARAFAC-PLSR), were adopted for the prediction of the real-time status of the process. The overall results indicated that PCA, PLSR and PARAFAC-PLSR can effectively detect the errors in the extraction procedure and predict the process trajectories, which has important significance for the monitoring and controlling of the extraction processes.