Identification of key process parameters of Chinese materia medica production process based on grey relation analysis / 中草药

ABSTRACT

Objective: To identify the key process parameters of the Chinese materia medica (CMM) production process by using grey relation analysis (GRA) method. Methods: Taking Lonicerae Japonicae Flos and Artemisiae Annuae Herba extraction section of Reduning Injection as an example, GRA was adopted to calculate and compare the influence of the process parameters on the quality index. Meanwhile, analytic hierarchy process (AHP) combined with Spearman rank correlation analysis was used to validate mutually. Results: According to GRA Results:, the relative importance of process parameters was ranked as follows average volume flow rate of extraction (X4) > pH after acid adjustment (X2) > the paste temperature of extracting concentration (X7) > alcohol precipitation concentrated extract weight (X1) > hydrochloric acid weight (X3) > extraction time (X6) > relative standard deviation of flow rate (X5). The correlation coefficient between the order by GRA and that by AHP was 0.893. According to the importance of process parameters, the average volume flow rate of extraction, the pH after acid adjustment, and the paste temperature of extracting concentration were identified as the key process parameters. Conclusion: The Results: obtained in this study show the feasibility of GRA in selecting key process parameters, which can provide theoretical reference for the establishment of prediction model as well as online feedback regulation.