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System modeling on Chinese herbal medicine process based on multi-block partial least squares / 中国中药杂志
China Journal of Chinese Materia Medica ; (24): 3270-3278, 2018.
Article in Chinese | WPRIM | ID: wpr-690387
ABSTRACT
The system model of Chinese herbal medicine process is the basis for improving the precision of pharmaceutical process and ensuring the stable transmission of quality between different sections of the process. By taking the wet granulation-tableting process as the research object and using the Panax notoginsengs sapions (PNS) as a model drug, multi-block partial least squares method (MBPLS) was used in this article to build the system model of Chinese herbal medicine process, analyze the mass transmission rules in the process and improve the understanding on pharmaceutical process system of Chinese medicine. According to the process flow, the quality attributes of raw materials, granules and tablets collected in the process were divided into different data blocks, and the MBPLS method was used to establish system model. The R²Y and Q²Y of MBPLS model were 89.1% and 65.5%, respectively, indicating that the performance of the MBPLS model was good. By analyzing the parameters of MBPLS model, it was determined that the physical quality attributes of PNS raw materials and quality attributes of PNS granules were the key factors to affect the quality of PNS tablets. The particle size, bulk density and tapped density of PNS raw materials were the critical quality attributes which caused the quality variations of PNS granules and PNS tablets. MBPLS can quantify the contributions of each unit to the product quality by dividing the quality attributes into different units. It was helpful to analyze the interactions between the process units of Chinese herbal medicine and it could be applied to build system model of other Chinese herbal preparations processes.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: China Journal of Chinese Materia Medica Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: China Journal of Chinese Materia Medica Year: 2018 Type: Article