{"title":"Process robustness evaluation for various operating configurations of multi-column chromatography processes with nonlinear isotherm","authors":"Kensuke Suzuki , Tomoyuki Yajima , Yoshiaki Kawajiri","doi":"10.1016/j.ces.2025.121395","DOIUrl":null,"url":null,"abstract":"<div><div>This study proposes a method for evaluating process robustness of various operating configurations for multi-column chromatography processes. The robustness of industrial chromatography processes, which refers to the probability of achieving target purity under various uncertainties, is a critical metric. However, quantification of robustness for multi-column chromatography has not been established yet. In this study, we estimate uncertainty in purity as posterior predictive distribution within a framework of Bayesian statistics and quantify the robustness as joint probability.</div><div>Our proposed method was demonstrated through a comparison of the robustness for five different operating configurations of simulated moving bed (SMB) chromatography processes. The joint probability of product purity revealed that one of the F-shaped configurations, which have been reported in a past study is the most robust, while the conventional SMB configuration is the least. Furthermore, uncertainty of internal concentration profiles was analyzed to investigate influences of internal flow rates on the robustness.</div></div>","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"309 ","pages":"Article 121395"},"PeriodicalIF":4.3000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Engineering Science","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009250925002180","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/21 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This study proposes a method for evaluating process robustness of various operating configurations for multi-column chromatography processes. The robustness of industrial chromatography processes, which refers to the probability of achieving target purity under various uncertainties, is a critical metric. However, quantification of robustness for multi-column chromatography has not been established yet. In this study, we estimate uncertainty in purity as posterior predictive distribution within a framework of Bayesian statistics and quantify the robustness as joint probability.
Our proposed method was demonstrated through a comparison of the robustness for five different operating configurations of simulated moving bed (SMB) chromatography processes. The joint probability of product purity revealed that one of the F-shaped configurations, which have been reported in a past study is the most robust, while the conventional SMB configuration is the least. Furthermore, uncertainty of internal concentration profiles was analyzed to investigate influences of internal flow rates on the robustness.
期刊介绍：
Chemical engineering enables the transformation of natural resources and energy into useful products for society. It draws on and applies natural sciences, mathematics and economics, and has developed fundamental engineering science that underpins the discipline.
Chemical Engineering Science (CES) has been publishing papers on the fundamentals of chemical engineering since 1951. CES is the platform where the most significant advances in the discipline have ever since been published. Chemical Engineering Science has accompanied and sustained chemical engineering through its development into the vibrant and broad scientific discipline it is today.
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