Application of process analysis technology in traditional Chinese medicine manufacturing industry
In the traditional Chinese medicine(TCM)manufacturing industry,quality control determines the safety,effectiveness,and quality stability of the final product.The traditional quality control method generally carries out sampling off-line testing of drugs after the end of the batch production,which is incomprehensive,and it fails to find the problems in the production process in time.Process analysis technology(PAT)uses process testing,mathematical modeling,data analysis,and other technologies to collect,analyze,feedback,control,and continuously improve the critical quality attributes(CQA)in all aspects of the production of TCM preparations in real time.The application of PAT in the TCM manufacturing industry is one of the research hotspots in recent years,which has the advantages of real-time,systematic,non-destructive,green,and rapid detection for the production quality control of TCM preparations.It can effectively ensure the stability of the quality of TCM preparations,improve production efficiency,and play a key role in the study of the quantity and quality transfer law of TCM.Commonly used PAT includes near-infrared spectroscopy,Raman spectroscopy,online microwave,etc.In addition,the establishment of an online detection model by PAT is the key basic work to realize intelligent manufacturing in TCM production.Obtaining real-time online detection data through PAT and establishing a closed-loop control model on this basis are a key common technical difficulty in the industry.This paper adopted systematic literature analysis to summarize the relevant Chinese and foreign literature,policies and regulations,and production applications,and it introduced the development trend and practical application of PAT,so as to provide references for accelerating the application of PAT in the TCM manufacturing industry,the intelligent transformation and upgrading,and high-quality development of the TCM industry.
process analysis technologytraditional Chinese medicine manufacturingonline monitoringcritical quality attributesnear-infraredintelligent manufacturing
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