ABSTRACT
The development of Chinese materia medica (CMM) has risen to the level of national strategy. Under the new situation that the pharmaceutical industry implements the "Made in China 2025" strategy, quality control of the production process of CMM is one of the key areas in which the CMM industry needs to accelerate its breakthrough. The key common issues in process design, analysis and detection, process modeling, and manufacturing equipment and other aspects in the field of quality control of CMM production processes was analyzed in the paper. The progress in the three aspects of process understanding, real-time analysis method development and process control strategy establishment in the quality control system of CMM production process was reviewed. Combined with the author's corporate research practices, this paper introduces the application progress of key technologies such as quality by design (QbD), process analytical technology (PAT), experimental design (DOE), and multivariate statistical analysis in the above three research directions, and analyzes the difficulties problems in practical industrial application. The application prospect is prospected. The purpose of this article is to provide reference for CMM enterprises to apply and improve the quality control technology in the production process.
ABSTRACT
To study and establish a monitoring method for macroporous resin column chromatography process of salvianolic acids by using near infrared spectroscopy (NIR) as a process analytical technology (PAT).The multivariate statistical process control (MSPC) model was developed based on 7 normal operation batches, and 2 test batches (including one normal operation batch and one abnormal operation batch) were used to verify the monitoring performance of this model. The results showed that MSPC model had a good monitoring ability for the column chromatography process. Meanwhile, NIR quantitative calibration model was established for three key quality indexes (rosmarinic acid, lithospermic acid and salvianolic acid B) by using partial least squares (PLS) algorithm. The verification results demonstrated that this model had satisfactory prediction performance. The combined application of the above two models could effectively achieve real-time monitoring for macroporous resin column chromatography process of salvianolic acids, and can be used to conduct on-line analysis of key quality indexes. This established process monitoring method could provide reference for the development of process analytical technology for traditional Chinese medicines manufacturing.