A case study of the mechanism of unfolding and aggregation of a monoclonal antibody in ion exchange chromatography

化学 洗脱 解吸 吸附 色谱法 离子交换 离解(化学) 离子色谱法 相(物质) 离子 物理化学 有机化学
作者
Izabela Poplewska,Wojciech Piątkowski,Dorota Antos
出处
期刊:Journal of Chromatography A [Elsevier BV]
卷期号:1636: 461687-461687 被引量:15
标识
DOI:10.1016/j.chroma.2020.461687
摘要

A mechanistic model for describing unfolding of a monoclonal antibody (mAb) in ion exchange chromatography has been developed. The model reproduced retention behavior characteristic for conformational changes of antibodies upon adsorption, including: multi-peak elution, aggregate formation, and recovery reduction. Two competitive paths in the adsorption mechanism of the unfolded protein were assumed: refolding in the adsorbed phase to the native form followed by its desorption, or direct desorption followed by instantaneous aggregation in the liquid phase. The reduction in recovery of the eluted protein was attributed to spreading of the unfolded protein on the adsorbent surface, which enhanced the binding affinity. The model was formulated based on the analysis of retention behavior of a model mAb that was eluted in pH gradients on a strong cation exchange resin. The pH profile was found to be distorted in the presence of the protein, which was ascribed to dissociation of ionizable groups of the protein in the adsorbed phase. Since the protein retention was strongly pH dependent, that phenomenon was also accounted for in mathematical modeling. A series of independent experiments was designed to evaluate the model parameters that quantified the process thermodynamics and kinetics: the Henry constants of the native, unfolded, spread and aggregated forms of the protein along with underlying kinetic coefficients. The model was efficient in reproducing the retention pattern of the protein and the aggregate content in eluting band profiles. After proper calibration, the model can potentially be used to quantify protein unfolding and elution in other ion exchange systems.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
私欲宝宝完成签到,获得积分10
4秒前
一安完成签到,获得积分10
5秒前
巴哒完成签到,获得积分10
5秒前
乐乐应助宇宙第一甜妹采纳,获得10
6秒前
蓝景轩辕完成签到 ,获得积分10
7秒前
在水一方应助等风的人采纳,获得10
9秒前
Shelley发布了新的文献求助10
9秒前
10秒前
11秒前
erhao完成签到,获得积分10
12秒前
yfn完成签到,获得积分10
13秒前
13秒前
撒西不理完成签到,获得积分10
14秒前
旧梦如烟发布了新的文献求助10
14秒前
17秒前
19秒前
tang123发布了新的文献求助10
19秒前
唐俊杰完成签到 ,获得积分10
19秒前
冷静雨南完成签到 ,获得积分10
20秒前
撸撸大仙完成签到,获得积分10
20秒前
WhiteCaramel完成签到 ,获得积分10
20秒前
tzy完成签到,获得积分10
21秒前
愉快的寒松完成签到 ,获得积分10
22秒前
24秒前
尼仲星完成签到 ,获得积分10
25秒前
CodeCraft应助Snow886采纳,获得10
25秒前
26秒前
tang123完成签到,获得积分10
26秒前
LMN完成签到,获得积分10
27秒前
咸鱼打水漂完成签到,获得积分10
30秒前
30秒前
sea完成签到 ,获得积分10
31秒前
FashionBoy应助正直的语海采纳,获得10
32秒前
今后应助Capacition6采纳,获得30
33秒前
11完成签到 ,获得积分10
34秒前
西沙海底完成签到,获得积分10
35秒前
36秒前
周易完成签到,获得积分10
37秒前
DAISHU发布了新的文献求助10
38秒前
Hello应助科研通管家采纳,获得10
40秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Periodic Report Summary 2 - AFTER (A Framework for electrical power sysTems vulnerability identification, dEfense and Restoration) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7319717
求助须知:如何正确求助?哪些是违规求助? 8935359
关于积分的说明 18941986
捐赠科研通 6978283
什么是DOI,文献DOI怎么找? 3214413
关于科研通互助平台的介绍 2382282
邀请新用户注册赠送积分活动 2193439