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An MILP formulation for the synthesis of protein purification processes

Polykarpou, EM; Dalby, PA; Papageorgiou, LG; (2012) An MILP formulation for the synthesis of protein purification processes. Chemical Engineering Research and Design , 90 (9) 1262 - 1270. 10.1016/j.cherd.2011.11.021. Green open access

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Abstract

This paper presents a mixed integer linear programming (MILP) model for the optimal synthesis of chromatographic protein purification processes including the time line in which our target protein product is collected. The model is linearised using piecewise linear approximation strategies and tested on three example protein mixtures, containing up to 13 contaminants and selecting from a set of up to 21 candidate steps. The results are also compared with previous literature models attempting to solve the same problem and show that the proposed approach offers significant gains in computational efficiency without compromising the quality of the solution.

Type: Article
Title: An MILP formulation for the synthesis of protein purification processes
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.cherd.2011.11.021
Publisher version: http://dx.doi.org/10.1016/j.cherd.2011.11.021
Language: English
Additional information: This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Downstream processing, Protein purification, Mixed integer linear optimisation, Piecewise linear approximation
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
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/1365023
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