Parameter-by-parameter method for steric mass action model of ion exchange chromatography: Simplified estimation for steric shielding factor

被引:14
|
作者
Chen, Yu-Cheng [1 ]
Yao, Shan-Jing [1 ]
Lin, Dong-Qiang [1 ]
机构
[1] Zhejiang Univ, Coll Chem & Biol Engn, Zhejiang Key Lab Smart Biomat, Key Lab Biomass Chem Engn,Minist Educ, Hangzhou 310027, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Ion -exchange chromatography; Steric mass action model; Model calibration; Steric shielding factor; ADSORPTION-ISOTHERM; OPTIMIZATION; PROFILES; BEHAVIOR;
D O I
10.1016/j.chroma.2022.463655
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Mechanistic models play a crucial role in the process development and optimization of ion-exchange chromatography (IEC). Recent researches in steric mass action (SMA) model have heightened the need for better estimation of nonlinear parameter, steric shielding factor a. In this work, a straightforward approach combination of simplified linear approximation (SLA) and inverse method (IM) was proposed to initialize and further determine a, respectively. An existed, unique, and positive a can be derived from SLA. Compared with linear approximation (LA) developed in our previous study, a of the multi -component system can be calculated easily without solving the complex system of linear equations, leading to a time complexity reduction from O(n3) to O(n). The proposed method was verified first in numerical experiments about the separation of three charge variants. The calculated a was more reason-able than that of LA, and the error of elution profiles with the parameters estimated by SLA + IM was only one-sixth of that by LA in numerical experiments. Moreover, the error accumulation effect could also be reduced. The proposed method was further confirmed in real-world experiments about the separation of monomer-dimer mixtures of monoclonal antibody. The results gave a lower error and better physical understanding compared to LA. In conclusion, SLA + IM developed in the present work provides a novel and straightforward way to determine a. This simplification would help to save the effort of calibration experiments and accelerate the process development for the multi-component IEC separation. (c) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] A systematic method for Li-ion battery simplified electrochemical model parameter sensitivity ranking and optimization (vol 109, 115118, 2025)
    Liu, Enhui
    Sun, Leo
    Ziehl, Paul
    JOURNAL OF ENERGY STORAGE, 2025, 111
  • [42] Parameter Estimation of Lithium Battery Thermal Model Based on Two-Stage Forgetting Factor Least Square Method
    Li, Marui
    Dong, Chaoyu
    Mu, Yunfei
    Dong, Xiaohong
    Cao, Jingming
    Jia, Hongjie
    2021 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2021, : 1718 - 1723
  • [43] Anti-Langmuir elution behavior of a bispecific monoclonal antibody in cation exchange chromatography: Mechanistic modeling using a pH-dependent Self-Association Steric Mass Action isotherm
    Seelinger, Felix
    Wittkopp, Felix
    von Hirschheydt, Thomas
    Frech, Christian
    JOURNAL OF CHROMATOGRAPHY A, 2023, 1689
  • [44] On-line scheme for parameter estimation of nonlinear lithium ion battery equivalent circuit models using the simplified refined instrumental variable method for a modified Wiener continuous-time model
    Allafi, Walid
    Uddin, Kotub
    Zhang, Cheng
    Sha, Raja Mazuir Raja Ahsan
    Marco, James
    APPLIED ENERGY, 2017, 204 : 497 - 508
  • [45] Performance Assessment of a New Stationarity-Based Parameter Estimation Method with a Simplified Land Surface Model Using In Situ and Remotely Sensed Surface States
    Sun, Jian
    Salvucci, Guido D.
    JOURNAL OF HYDROMETEOROLOGY, 2014, 15 (01) : 340 - 358
  • [46] A transfer function type of simplified electrochemical model with modified boundary conditions and Pade approximation for Li-ion battery: Part 2. Modeling and parameter estimation
    Yuan, Shifei
    Jiang, Lei
    Yin, Chengliang
    Wu, Hongjie
    Zhang, Xi
    JOURNAL OF POWER SOURCES, 2017, 352 : 258 - 271
  • [47] A new state-of-charge estimation method for electric vehicle lithium-ion batteries based on multiple input parameter fitting model
    Liu, Xintian
    He, Yao
    Zheng, Xinxin
    Zhang, Jiangfeng
    Zeng, Guojian
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2017, 41 (09) : 1265 - 1276
  • [48] Joint SOC–SOP estimation method for lithium-ion batteries based on electro-thermal model and multi-parameter constraints
    Peijun Qin
    Yanbo Che
    Hongfeng Li
    Yibin Cai
    Mingda Jiang
    Journal of Power Electronics, 2022, 22 : 490 - 502
  • [49] PARAMETER VARIABILITY IN THE SINGLE FACTOR MARKET MODEL - AN EMPIRICAL-COMPARISON OF ESTIMATION PROCEDURES USING DATA FROM HELSINKI STOCK-EXCHANGE - KNIF,J
    OLLER, LE
    EKONOMISKA SAMFUNDETS TIDSKRIFT, 1990, 43 (03): : 235 - 240
  • [50] Joint SOC-SOP estimation method for lithium-ion batteries based on electro-thermal model and multi-parameter constraints
    Qin, Peijun
    Che, Yanbo
    Li, Hongfeng
    Cai, Yibin
    Jiang, Mingda
    JOURNAL OF POWER ELECTRONICS, 2022, 22 (03) : 490 - 502