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The development of Fructus corni quality standard considering the effects of processing 被引量:1
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作者 Xingchu Gong Junlin Guo +1 位作者 Jingjing Pan Zhenfeng Wu 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2021年第1期77-84,共8页
The quality standards for Fructus Comi have been established based on the effects of the manufacturing processes.Three critical process parameters(CPPs)of extraction,filtration,and concentration to prepare Fructus Com... The quality standards for Fructus Comi have been established based on the effects of the manufacturing processes.Three critical process parameters(CPPs)of extraction,filtration,and concentration to prepare Fructus Comi concentrate were identified by Plackett-Burman design with a single batch of Fructus Corni,which were heating medium temperature,extraction time,and water addition.Morroniside yield,loganin yield,and dry matter yield were process critical quality attributes(CQAs).CPPs arranged with a Box-Behnken design were applied to treat different batches of Fructus Comi After constructing a model that included CPPs,material propertie s,and process CQAs,loganin content was found to be the critical material attribute(CMA).The design space was calculated with a probability method.According to the limits of process CQAs,the minimum content of loganin in Fructus Corni was calculated with an error propagation method,which was 6.92 mg·g^(-1).When the content of loganin in Fructus Corni reaches up to 6.92 mg·g^(-1),the material is considered high-quality and is most suitable for the process.High-quality material can be used for production of Fructus Comi concentrate.This method can also be used to set material quality standards for other Chinese medicines. 展开更多
关键词 Material quality standard critical process parameters Control strategy LOGANIN Formulated granules
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Granulation process analysis technologies and potential applications in traditional Chinese medicine
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作者 Tongcan Cui Yizhe Hou +3 位作者 Huimin Feng Sijun Wu Wenlong Li Zheng Li 《Acupuncture and Herbal Medicine》 2022年第1期9-24,共16页
Pharmaceutical production is changing from batch production to continuous production,during which granulation is one of the most important unit operations.The quality of mass-produced products is traditionally guarant... Pharmaceutical production is changing from batch production to continuous production,during which granulation is one of the most important unit operations.The quality of mass-produced products is traditionally guaranteed by conducting off-line testing,which cannot meet the demand of continuous production for real-time monitoring of critical process parameters and critical quality attributes(CQAs)of the pharmaceutical granulation technology.Since the U.S.Food and Drug Administration proposed process analytical technology(PAT)in 2004,many PAT tools have been developed to monitor the granulation process and provide information regarding the granulation operation conditions and endpoint determination.In this article,we review the recent research and application of two PAT modes in the granulation process,namely,single CQA and multi-CQA PAT,with the aim to provide references for comprehensively improving the technological level of the pharmaceutical granulation process.Furthermore,the potential applications in traditional Chinese Medicine are discussed. 展开更多
关键词 critical process parameters critical quality attributes Pharmaceutical granulation technology process analytical technology
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Critical process parameter identification of manufacturing processes of Astragali Radix extract with a weighted determination coeffcient method 被引量:1
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作者 Min-fei Sun Jing-yi Yang +5 位作者 Wen Cao Jing-yuan Shao Guo-xiang Wang Hai-bin Qu Wen-hua Huang Xing-chu Gong 《Chinese Herbal Medicines》 CAS 2020年第2期125-132,共8页
Objective:Critical process parameters(CPPs)identification is an important step of the implementation of quality by design(Qb D)concept.There are many CPP identification methods,such as risk analysis method,sensitivity... Objective:Critical process parameters(CPPs)identification is an important step of the implementation of quality by design(Qb D)concept.There are many CPP identification methods,such as risk analysis method,sensitivity analysis method,multiple linear regression method,standard partial regression coefficient(SPRC)method,and so on.The SPRC method can consider multiple process critical quality attributes(CQAs)simultaneously,but the determination of CPP number is subjective.Therefore,new CPP identification method is still required.Methods:The manufacturing process of Astragali Radix extract,which contained water reflux extraction,concentration,and ethanol precipitation,was used as an example.First,the multiple process CQAs were determined to be the yield of pigment,dry matter,sugars,and active ingredients.Second,the potential CPPs were determined by a knowledge organization method.Plackett-Burman designed experiments were then performed.A weighted determination coefficient(R2 w)method was presented to identify CPPs.In this method,the importance of different CQAs was considered.Process parameters were removed one-by-one according to their importance index.The decrease in R2 wwas used to characterize the importance of the removed parameter.If the decrease of R2 wwas less than a preset threshold,the removed parameter was not a CPP.Results:During the manufacturing process of Astragali Radix extract,the potential CPPs determined by the knowledge organization method were water consumption,reflux extraction time,extraction frequency,ethanol content,ethanol consumption,and concentration endpoint.Reflux extraction time,the first ethanol consumption,the second ethanol consumption,and the second ethanol precipitation refrigeration temperature were found to be CPPs using the weighted determination coefficient method with the threshold of 10%.Conclusion:Using the weighted determination coefficient method,CPPs can be determined with all the CQAs considered based on their importance.The determination of CPP number is more objective compared with the SPRC method. 展开更多
关键词 Astragali Radix critical process parameters ethanol precipitation knowledge organization method water extraction
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