亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Parameter-by-parameter method for steric mass action model of ion exchange chromatography: Theoretical considerations and experimental verification

化学 生物系统 校准 线性回归 色谱法 稳健性(进化) 算法 数学 统计 生物化学 生物 基因
作者
Yucheng Chen,Shan‐Jing Yao,Dong‐Qiang Lin
出处
期刊:Journal of Chromatography A [Elsevier BV]
卷期号:1680: 463418-463418 被引量:18
标识
DOI:10.1016/j.chroma.2022.463418
摘要

Ion exchange chromatography (IEC) is one of the most widely-used techniques for protein separation and has been characterized by mechanistic models. However, the time-consuming and cumbersome model calibration hinders the application of mechanistic models for process development. A new methodology called "parameter-by-parameter method (PbP)" was proposed with mechanistic derivations of the steric mass action (SMA) model of IEC. The protocol includes four steps: (1) first linear regression (LR1) for characteristic charge; (2) second linear regression (LR2) for equilibrium coefficient; (3) linear approximation (LA) for shielding factor; (4) inverse method (IM) for kinetic coefficient. Four SMA parameters could be one-by-one determined in sequence, reducing the number of unknown parameters per species from four to one, and predicting almost consistent retention. Numerical single-component experiments were investigated firstly, and the PbP method showed excellent agreement between experiments and simulations. The effects of loadings on the PbP and Yamamoto methods were compared. It was found that the PbP method had higher accuracy and robustness than the Yamamoto method. Moreover, a five-experiment strategy was suggested to implement the PbP method, which is straightforward to reduce the cost of calibration experiments. Finally, a real-world multi-component separation was challenged and further confirmed the feasibility of the PbP method. In general, the proposed method can not only reliably estimate the SMA parameters with comprehensive physical understanding but also accurately predict retention over a wide range of loading conditions.

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
zhaodan完成签到,获得积分10
2秒前
guyuzheng完成签到,获得积分10
12秒前
Tzzl0226发布了新的文献求助10
16秒前
爱听歌谷蓝完成签到,获得积分10
19秒前
Wei发布了新的文献求助10
19秒前
隐形曼青应助文艺雪巧采纳,获得10
20秒前
24秒前
魔幻的芳完成签到,获得积分10
25秒前
文艺雪巧发布了新的文献求助10
30秒前
30秒前
32秒前
花陵完成签到 ,获得积分10
33秒前
柠橙发布了新的文献求助10
33秒前
34秒前
悲凉的忆南完成签到,获得积分10
35秒前
缥缈发布了新的文献求助10
38秒前
lx840518完成签到 ,获得积分10
38秒前
39秒前
40秒前
陈旧完成签到,获得积分10
41秒前
orixero应助yaonuliwa采纳,获得10
43秒前
Tzzl0226发布了新的文献求助10
44秒前
46秒前
msk完成签到 ,获得积分10
47秒前
欣欣子完成签到,获得积分10
47秒前
Lucas应助thousandlong采纳,获得10
50秒前
诌小小完成签到 ,获得积分20
50秒前
yxl完成签到,获得积分10
53秒前
58秒前
可耐的盈完成签到,获得积分10
1分钟前
李健应助柠橙采纳,获得10
1分钟前
thousandlong发布了新的文献求助10
1分钟前
1分钟前
thousandlong完成签到,获得积分10
1分钟前
绿毛水怪完成签到,获得积分10
1分钟前
yaonuliwa发布了新的文献求助10
1分钟前
大模型应助文艺雪巧采纳,获得10
1分钟前
lsc完成签到,获得积分10
1分钟前
小fei完成签到,获得积分10
1分钟前
1分钟前
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
Inorganic Chemistry Eighth Edition 1200
Free parameter models in liquid scintillation counting 1000
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
The Organic Chemistry of Biological Pathways Second Edition 800
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6306754
求助须知:如何正确求助?哪些是违规求助? 8123063
关于积分的说明 17014284
捐赠科研通 5365035
什么是DOI,文献DOI怎么找? 2849273
邀请新用户注册赠送积分活动 1826911
关于科研通互助平台的介绍 1680244