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Data‐driven multi‐objective optimization via grid compatible simplex technique and desirability approach for challenging high throughput chromatography applications

Konstantinidis, S; Welsh, JP; Titchener-Hooker, NJ; Roush, DJ; Velayudhan, A; (2018) Data‐driven multi‐objective optimization via grid compatible simplex technique and desirability approach for challenging high throughput chromatography applications. Biotechnology Progress , 34 (6) 10.1002/btpr.2673. Green open access

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Abstract

Recently, a grid compatible Simplex variant has been demonstrated to identify optima consistently and rapidly in challenging high throughput (HT) applications in early bioprocess development. Here, this method is extended by deploying it to multi‐objective optimization problems. Three HT chromatography case studies are presented, each posing challenging early development situations and including three responses which were amalgamated by the adoption of the desirability approach. The suitability of a design of experiments (DoE) methodology per case study, using regression analysis in addition to the desirability approach, was evaluated for a large number of weights and in the presence of stringent and lenient performance requirements. Despite the adoption of high‐order models, this approach had low success in identification of the optimal conditions. For the deployment of the Simplex approach, the deterministic specification of the weights of the merged responses was avoided by including them as inputs in the formulated multi‐objective optimization problem, facilitating this way the decision making process. This, and the ability of the Simplex method to locate optima, rendered the presented approach highly successful in delivering rapidly operating conditions, which belonged to the Pareto set and offered a superior and balanced performance across all outputs compared to alternatives. Moreover, its performance was relatively independent of the starting conditions and required sub‐minute computations despite its higher order mathematical functionality compared to DoE techniques. These evidences support the suitability of the grid compatible Simplex method for early bioprocess development studies involving complex data trends over multiple responses. © 2018 The Authors Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers Biotechnol. Prog., 2018

Type: Article
Title: Data‐driven multi‐objective optimization via grid compatible simplex technique and desirability approach for challenging high throughput chromatography applications
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/btpr.2673
Publisher version: https://doi.org/10.1002/btpr.2673
Language: English
Additional information: © 2018 The Authors. Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/).
Keywords: chromatography, design of experiments, desirability, high throughput bioprocess development, Pareto front, multi-objective optimization, Simplex optimization
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Biochemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10058607
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