fulltext.study @t Gmail

A novel efficient optimisation system for purification process synthesis

Paper ID Volume ID Publish Year Pages File Format Full-Text
3520 173 2012 8 PDF Available
Title
A novel efficient optimisation system for purification process synthesis
Abstract

Protein purification through chromatographic processes has been broadly used in the biopharmaceutical industry over the last decades, but still remains a major bottleneck. In this work, we address the challenge of selecting appropriate chromatographic steps, along with product collecting timeline for separating the target protein from the contaminants in a multicomponent mixture. A novel mixed integer linear programming (MILP) model for purification process synthesis is proposed. The model allows product losses and is 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 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.

► This paper presents an MILP modelling framework for the optimal purification process synthesis. ► The proposed models have been applied to three different example protein mixtures containing up to 13 contaminants and selecting from a set of up to 21 candidates. ► The results of the examples highlight the increase in computational efficiency.

Keywords
Downstream processing; Mixed integer programming; Optimisation
First Page Preview
A novel efficient optimisation system for purification process synthesis
Publisher
Database: Elsevier - ScienceDirect
Journal: Biochemical Engineering Journal - Volume 67, 15 August 2012, Pages 186–193
Authors
, , ,
Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering