Effects of polyol excipient stability during storage and use on the quality of biopharmaceutical formulations / 药物分析学报

Biopharmaceuticals are formulated using a variety of excipients to maintain their storage stability.However,some excipients are prone to degradation during repeated use and/or improper storage,and the impurities generated by their degradation are easily overlooked by end users and are usually not strictly monitored,affecting the stability of biopharmaceuticals.In this study,we evaluated the degra-dation profile of polyol excipient glycerol during repeated use and improper storage and identified an unprecedented cyclic ketal impurity using gas chromatography with mass spectrometry(GC-MS).The other polyol excipient,mannitol,was much more stable than glycerol.The effects of degraded glycerol and mannitol on the stability of the model biopharmaceutical pentapeptide,thymopentin,were also evaluated.The thymopentin content was only 66.4％in the thymopentin formulations with degraded glycerol,compared to 95.8％in other formulations after the stress test.Most glycerol impurities(i.e.,aldehydes and ketones)reacted with thymopentin,affecting the stability of thymopentin formulations.In conclusion,this work suggests that more attention should be paid to the quality changes of excipients during repeated use and storage.Additional testing of excipient stability under real or accelerated conditions by manufacturers would help avoid unexpected and painful results.

Critical process parameter identification of manufacturing processes of Astragali Radix extract with a weighted determination coefficient method / 中草药·英文版

Objective: Critical process parameters (CPPs) identification is an important step of the implementation of quality by design (QbD) 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 (Rw2) 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 Rw2 was used to characterize the importance of the removed parameter. If the decrease of Rw2 was 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.