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Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions

BACKGROUND: Bioseparations can contribute to more than 70% in the total production cost of a bio-based chemical, and if the desired chemical is localized intracellularly, there can be additional challenges associated with its recovery. Based on the properties of the desired chemical and other compon...

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Autores principales: Yenkie, Kirti M., Wu, Wenzhao, Maravelias, Christos T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422901/
https://www.ncbi.nlm.nih.gov/pubmed/28503196
http://dx.doi.org/10.1186/s13068-017-0804-2
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author Yenkie, Kirti M.
Wu, Wenzhao
Maravelias, Christos T.
author_facet Yenkie, Kirti M.
Wu, Wenzhao
Maravelias, Christos T.
author_sort Yenkie, Kirti M.
collection PubMed
description BACKGROUND: Bioseparations can contribute to more than 70% in the total production cost of a bio-based chemical, and if the desired chemical is localized intracellularly, there can be additional challenges associated with its recovery. Based on the properties of the desired chemical and other components in the stream, there can be multiple feasible options for product recovery. These options are composed of several alternative technologies, performing similar tasks. The suitability of a technology for a particular chemical depends on (1) its performance parameters, such as separation efficiency; (2) cost or amount of added separating agent; (3) properties of the bioreactor effluent (e.g., biomass titer, product content); and (4) final product specifications. Our goal is to first synthesize alternative separation options and then analyze how technology selection affects the overall process economics. To achieve this, we propose an optimization-based framework that helps in identifying the critical technologies and parameters. RESULTS: We study the separation networks for two representative classes of chemicals based on their properties. The separation network is divided into three stages: cell and product isolation (stage I), product concentration (II), and product purification and refining (III). Each stage exploits differences in specific product properties for achieving the desired product quality. The cost contribution analysis for the two cases (intracellular insoluble and intracellular soluble) reveals that stage I is the key cost contributor (>70% of the overall cost). Further analysis suggests that changes in input conditions and technology performance parameters lead to new designs primarily in stage I. CONCLUSIONS: The proposed framework provides significant insights for technology selection and assists in making informed decisions regarding technologies that should be used in combination for a given set of stream/product properties and final output specifications. Additionally, the parametric sensitivity provides an opportunity to make crucial design and selection decisions in a comprehensive and rational manner. This will prove valuable in the selection of chemicals to be produced using bioconversions (bioproducts) as well as in creating better bioseparation flow sheets for detailed economic assessment and process implementation on the commercial scale. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13068-017-0804-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-54229012017-05-12 Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions Yenkie, Kirti M. Wu, Wenzhao Maravelias, Christos T. Biotechnol Biofuels Research BACKGROUND: Bioseparations can contribute to more than 70% in the total production cost of a bio-based chemical, and if the desired chemical is localized intracellularly, there can be additional challenges associated with its recovery. Based on the properties of the desired chemical and other components in the stream, there can be multiple feasible options for product recovery. These options are composed of several alternative technologies, performing similar tasks. The suitability of a technology for a particular chemical depends on (1) its performance parameters, such as separation efficiency; (2) cost or amount of added separating agent; (3) properties of the bioreactor effluent (e.g., biomass titer, product content); and (4) final product specifications. Our goal is to first synthesize alternative separation options and then analyze how technology selection affects the overall process economics. To achieve this, we propose an optimization-based framework that helps in identifying the critical technologies and parameters. RESULTS: We study the separation networks for two representative classes of chemicals based on their properties. The separation network is divided into three stages: cell and product isolation (stage I), product concentration (II), and product purification and refining (III). Each stage exploits differences in specific product properties for achieving the desired product quality. The cost contribution analysis for the two cases (intracellular insoluble and intracellular soluble) reveals that stage I is the key cost contributor (>70% of the overall cost). Further analysis suggests that changes in input conditions and technology performance parameters lead to new designs primarily in stage I. CONCLUSIONS: The proposed framework provides significant insights for technology selection and assists in making informed decisions regarding technologies that should be used in combination for a given set of stream/product properties and final output specifications. Additionally, the parametric sensitivity provides an opportunity to make crucial design and selection decisions in a comprehensive and rational manner. This will prove valuable in the selection of chemicals to be produced using bioconversions (bioproducts) as well as in creating better bioseparation flow sheets for detailed economic assessment and process implementation on the commercial scale. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13068-017-0804-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-08 /pmc/articles/PMC5422901/ /pubmed/28503196 http://dx.doi.org/10.1186/s13068-017-0804-2 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Yenkie, Kirti M.
Wu, Wenzhao
Maravelias, Christos T.
Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions
title Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions
title_full Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions
title_fullStr Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions
title_full_unstemmed Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions
title_short Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions
title_sort synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422901/
https://www.ncbi.nlm.nih.gov/pubmed/28503196
http://dx.doi.org/10.1186/s13068-017-0804-2
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