[Application of feedforward control strategy based on spectra of raw materials to optimize alcohol extraction process of Panax notoginseng].

In this work, we obtained the quality information of Panax notoginseng with near infrared spectroscopy in an efficient way. By combining the quality information of raw materials with process parameters in experimental design, quantitative relationship models were established between material quality information, process parameters and product quality of P. notoginseng, thus realizing the feedforward control of the alcohol extraction process. The quantitative models established have high robustness and satisfactory forecasting ability. With new batches of P. notoginseng introduced for the alcohol extraction process, the quality information of raw materials was rapidly obtained. Based on the established models, the process parameters were optimized according to the expected critical quality attributes (CQA), thereby reducing the fluctuation of product quality caused by raw material variation.