A novel efficient optimisation system for purification process synthesis

Polykarpou, Eleftheria M.; Dalby, Paul A.; Papageorgiou, Lazaros G.

doi:10.1016/j.bej.2012.06.012

Cited by 13 publications

(10 citation statements)

References 24 publications

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“…Two recent publications in this area focused on synthesis of protein purification processes. Polykarpou et al (2012) developed an MILP model to determine the minimum number of chromatographic steps for separating a mixture of proteins with known physicochemical properties. They also used a weighted objective that considers the number of steps along with the final purity and recovery of the products.…”

Section: Separation Of Unconventional Mixturesmentioning

confidence: 99%

A perspective on process synthesis: Challenges and prospects

Cremaschi

2015

Computers & Chemical Engineering

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a b s t r a c tThis paper gives the author's perspective on some of the open questions and opportunities in process synthesis focusing on separation systems as the application. Driven by energy and environmental concerns and challenged by introduction of new raw materials, this author anticipates significant advances in: (1) novel approaches that integrate experimental studies and process synthesis activities, and multiscale and surrogate models for accurately capturing the behavior of these unconventional mixtures, (2) systematic generation of alternatives for processing these mixtures, and (3) global, robust, and stochastic optimization for identifying the optimum alternative. This paper is an extended version of a conference

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Section: Separation Of Unconventional Mixturesmentioning

confidence: 99%

A perspective on process synthesis: Challenges and prospects

Cremaschi

2015

Computers & Chemical Engineering

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“…A similar formulation is implemented in previous works in applications for chromatography processes [68,69].…”

Section: Concentration Constraintsmentioning

confidence: 99%

Optimal design of water treatment processes

Koleva

Polykarpou

Liu

et al. 2016

Desalination and Water Treatment

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Predicted water shortages assign water treatment a leading role in improving water resources management. One of the main challenges associated with the processes remains early stage design of techno-economically optimised purification. This work addresses the current gap by undertaking a whole-system approach of flowsheet synthesis for the production of water at desired purity at minimum overall cost. The optimisation problem was formulated as a mixed integer non-linear programming (MINLP) model. Two case studies were presented which incorporated the most common commercial technologies and the major pollution indicators, such as chemical oxygen demand (COD), dissolved organic carbon (DOC), total suspended solids (TSS) and total dissolved solids (TDS).The results were analysed and compared to existing guidelines in order to examine the applicability of the proposed approach.

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“…Lately, the application of optimization-based models, approaches, and tools in the biopharmaceutical industry have become more popular in the industry, e.g., production planning and scheduling, [13][14][15] capacity planning, 16 purification process synthesis, [17][18][19][20][21][22][23][24][25] and downstream chromatography column sizing design using mathematical programming [26][27][28][29][30][31] and evolutionary algorithms. [32][33][34][35][36] However, there is limited literature on resin selection for downstream purification processes.…”

Section: Introductionmentioning

confidence: 99%

Optimization‐based framework for resin selection strategies in biopharmaceutical purification process development

Liu

Gerontas

Gruber³

et al. 2017

Biotechnology Progress

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This work addresses rapid resin selection for integrated chromatographic separations when conducted as part of a high‐throughput screening exercise during the early stages of purification process development. An optimization‐based decision support framework is proposed to process the data generated from microscale experiments to identify the best resins to maximize key performance metrics for a biopharmaceutical manufacturing process, such as yield and purity. A multiobjective mixed integer nonlinear programming model is developed and solved using the ε‐constraint method. Dinkelbach's algorithm is used to solve the resulting mixed integer linear fractional programming model. The proposed framework is successfully applied to an industrial case study of a process to purify recombinant Fc Fusion protein from low molecular weight and high molecular weight product related impurities, involving two chromatographic steps with eight and three candidate resins for each step, respectively. The computational results show the advantage of the proposed framework in terms of computational efficiency and flexibility. © 2017 The Authors Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers Biotechnol. Prog., 33:1116–1126, 2017

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A novel efficient optimisation system for purification process synthesis

Cited by 13 publications

References 24 publications

A perspective on process synthesis: Challenges and prospects

A perspective on process synthesis: Challenges and prospects

Optimal design of water treatment processes

Optimization‐based framework for resin selection strategies in biopharmaceutical purification process development

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