巴马汀
结垢
超滤(肾)
分子间力
石英晶体微天平
渗透(战争)
小檗碱
膜污染
化学
牛血清白蛋白
色谱法
有机化学
分子
膜
生物化学
工程类
运筹学
吸附
作者
Yun Zhang,Mingcong Huang,Qinshi Wang,Xianli Zhang,Jing Peng,Yue Zhang,Qianlian Wu,Jin‐Ao Duan,Xiangjun Mao,Zhishu Tang,Bo Li,Huaxu Zhu
标识
DOI:10.1016/j.seppur.2022.121205
摘要
The objective of this study was to understand the influence of membrane fouling on the penetration of pharmaceutically active compounds (PhACs) in traditional Chinese medicine (TCM). Four types of TCM PhACs (palmatine, berberine, geniposide, and protocatechuic acid) and three different concentrations of bovine serum albumin (BSA) were formulated into model solutions, to evaluate the researching penetration mechanisms of PhACs under membrane fouling conditions during a cross-flow ultrafiltration (UF) process. The Hermia model was applied to analyze the membrane fouling mechanisms, and quartz crystal microbalance with dissipation (QCM-D) monitoring and molecular dynamics (MD) simulations were used to analyze the intermolecular interactions between BSA and different TCM PhACs. The results confirmed that the presence of PhACs affected the fouling mechanisms. For example, the fouling models of 10.0 g/L BSA solutions changed from cake filtration to complete blocking in the presence of berberine. Under the condition of the membrane fouling, the penetration of PhACs was mainly affected by the intermolecular interactions. The penetrations of the four PhACs studied for all tested BSA solutions were consistent with the intermolecular interaction data obtained using QCM-D and MD simulations. According to the results of the MD simulations, the intermolecular interactions between BSA and palmatine and berberine (-42.99 and −79.16 kJ/mol) were more significant than those between BSA and geniposide and protocatechuic acid (-2.68 and −3.51 kJ/mol), making penetration of the alkaloids (palmatine and berberine) more difficult. The QCM-D results were similar. This study provides a better understanding of PhAC penetration during the UF of TCM solutions.
科研通智能强力驱动
Strongly Powered by AbleSci AI