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Schreiber M, Brunert M, Schembecker G. Extraction on a Robotic Platform – Autonomous Solvent Selection under Economic Evaluation Criteria. Chem Eng Technol 2021. [DOI: 10.1002/ceat.202100171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Mareike Schreiber
- TU Dortmund University Department of Biochemical and Chemical Engineering Laboratory of Plant and Process Design Emil-Figge-Strasse 70 44227 Dortmund Germany
| | - Manuel Brunert
- TU Dortmund University Department of Biochemical and Chemical Engineering Laboratory of Plant and Process Design Emil-Figge-Strasse 70 44227 Dortmund Germany
| | - Gerhard Schembecker
- TU Dortmund University Department of Biochemical and Chemical Engineering Laboratory of Plant and Process Design Emil-Figge-Strasse 70 44227 Dortmund Germany
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Costandy JG, Edgar TF, Baldea M. A Unified Reactor Network Synthesis Framework for Simultaneous Consideration of Batch and Continuous-Flow Reactor Alternatives. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c05799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Joseph G. Costandy
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Thomas F. Edgar
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Energy Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Michael Baldea
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas 78712, United States
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Kim S, Ahn JO, Kim KM, Lee CH. Effects of the mobile phase on the chromatographic separation of l-lysine and 5-aminovaleric acid. Microchem J 2020. [DOI: 10.1016/j.microc.2019.104369] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Wu W, Yenkie KM, Maravelias CT. Synthesis and analysis of separation processes for extracellular chemicals generated from microbial conversions. ACTA ACUST UNITED AC 2019. [DOI: 10.1186/s42480-019-0022-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Abstract
Recent advances in metabolic engineering have enabled the production of chemicals via bio-conversion using microbes. However, downstream separation accounts for 60–80% of the total production cost in many cases. Previous work on microbial production of extracellular chemicals has been mainly restricted to microbiology, biochemistry, metabolomics, or techno-economic analysis for specific product examples such as succinic acid, xanthan gum, lycopene, etc. In these studies, microbial production and separation technologies were selected apriori without considering any competing alternatives. However, technology selection in downstream separation and purification processes can have a major impact on the overall costs, product recovery, and purity. To this end, we apply a superstructure optimization based framework that enables the identification of critical technologies and their associated parameters in the synthesis and analysis of separation processes for extracellular chemicals generated from microbial conversions. We divide extracellular chemicals into three categories based on their physical properties, such as water solubility, physical state, relative density, volatility, etc. We analyze three major extracellular product categories (insoluble light, insoluble heavy and soluble) in detail and provide suggestions for additional product categories through extension of our analysis framework. The proposed analysis and results provide significant insights for technology selection and enable streamlined decision making when faced with any microbial product that is released extracellularly. The parameter variability analysis for the product as well as the associated technologies and comparison with novel alternatives is a key feature which forms the basis for designing better bioseparation strategies that have potential for commercial scalability and can compete with traditional chemical production methods.
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Costandy JG, Edgar TF, Baldea M. Switching from Batch to Continuous Reactors Is a Trajectory Optimization Problem. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b01126] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Joseph G. Costandy
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Thomas F. Edgar
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Energy Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Michael Baldea
- Energy Institute, The University of Texas at Austin, Austin, Texas 78712, United States
- Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas 78712, United States
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Wu W, Long MR, Zhang X, Reed JL, Maravelias CT. A framework for the identification of promising bio‐based chemicals. Biotechnol Bioeng 2018; 115:2328-2340. [DOI: 10.1002/bit.26779] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 05/18/2018] [Accepted: 06/18/2018] [Indexed: 01/05/2023]
Affiliation(s)
- Wenzhao Wu
- Department of Chemical and Biological Engineering and DOE Great Lakes Bioenergy Research Center University of Wisconsin‐Madison Madison Wisconsin
| | - Matthew R. Long
- Department of Chemical and Biological Engineering and DOE Great Lakes Bioenergy Research Center University of Wisconsin‐Madison Madison Wisconsin
| | - Xiaolin Zhang
- Department of Chemical and Biological Engineering and DOE Great Lakes Bioenergy Research Center University of Wisconsin‐Madison Madison Wisconsin
| | - Jennifer L. Reed
- Department of Chemical and Biological Engineering and DOE Great Lakes Bioenergy Research Center University of Wisconsin‐Madison Madison Wisconsin
| | - Christos T. Maravelias
- Department of Chemical and Biological Engineering and DOE Great Lakes Bioenergy Research Center University of Wisconsin‐Madison Madison Wisconsin
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Wu W, Maravelias CT. Synthesis and techno-economic assessment of microbial-based processes for terpenes production. BIOTECHNOLOGY FOR BIOFUELS 2018; 11:294. [PMID: 30386431 PMCID: PMC6203976 DOI: 10.1186/s13068-018-1285-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 10/09/2018] [Indexed: 05/03/2023]
Abstract
BACKGROUND Recent advances in metabolic engineering enable the production of chemicals from sugars through microbial bio-conversion. Terpenes have attracted substantial attention due to their relatively high prices and wide applications in different industries. To this end, we synthesize and assess processes for microbial production of terpenes. RESULTS To explain a counterintuitive experimental phenomenon where terpenes such as limonene (normal boiling point 176 °C) are often found to be 100% present in the vapor phase after bio-conversion (operating at only ~ 30 °C), we first analyze the vapor-liquid equilibrium for systems containing terpenes. Then, we propose alternative production configurations, which are further studied, using limonene as an example, in several case studies. Next, we perform economic assessment of the alternative processes and identify the major cost components. Finally, we extend the assessment to account for different process parameters, terpene products, ways to address terpene toxicity (microbial engineering vs. solvent use), and cellulosic biomass as a feedstock. We identify the key cost drivers to be (1) feed glucose concentration (wt%), (2) product yield (% of maximum theoretical yield) and (3) VVM (Volume of air per Volume of broth liquid per Minute, i.e., aeration rate in min-1). The production of limonene, based on current experimental data, is found to be economically infeasible (production cost ~ 465 $/kg vs. market selling price ~ 7 $/kg), but higher glucose concentration and yield can lower the cost. Among 12 terpenes studied, limonene appears to be the most reasonable short-term target because of its large market size (~ 160 million $/year in the US) and the relatively easier to achieve break-even yield (~ 30%, assuming a 14 wt% feed glucose concentration and 0.1 min-1 VVM). CONCLUSIONS The methods proposed in this work are applicable to a range of terpenes as well as other extracellular insoluble chemicals with density lower than that of water, such as fatty acids. The results provide guidance for future research in metabolic engineering toward terpenes production in terms of setting targets for key design parameters.
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Affiliation(s)
- Wenzhao Wu
- Dept. of Chemical and Biological Engineering and DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706 USA
| | - Christos T. Maravelias
- Dept. of Chemical and Biological Engineering and DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706 USA
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Yenkie KM, Wu W, Maravelias CT. Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions. BIOTECHNOLOGY FOR BIOFUELS 2017; 10:119. [PMID: 28503196 PMCID: PMC5422901 DOI: 10.1186/s13068-017-0804-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 04/25/2017] [Indexed: 05/19/2023]
Abstract
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.
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Affiliation(s)
- Kirti M. Yenkie
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706-1691 USA
| | - Wenzhao Wu
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706-1691 USA
| | - Christos T. Maravelias
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706-1691 USA
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, 1552 University Ave, Madison, WI 53726 USA
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Fu Y, Chang L, Henson MA, Liu XG. Dynamic Matrix Control of a Bubble-Column Reactor for Microbial Synthesis Gas Fermentation. Chem Eng Technol 2017. [DOI: 10.1002/ceat.201600520] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Yao Fu
- Zhejiang University; Institute of Industrial Process Control; Department of Control Science and Engineering; Zheda Road 38 310027 Hangzhou China
| | - Liang Chang
- Zhejiang University; Institute of Industrial Process Control; Department of Control Science and Engineering; Zheda Road 38 310027 Hangzhou China
- University of Massachusetts; Department of Chemical Engineering; 686 North Pleasant Street, 159 Goessmann Laboratory MA 01003-9303 Amherst USA
| | - Michael A. Henson
- University of Massachusetts; Department of Chemical Engineering; 686 North Pleasant Street, 159 Goessmann Laboratory MA 01003-9303 Amherst USA
| | - Xing Gao Liu
- Zhejiang University; Institute of Industrial Process Control; Department of Control Science and Engineering; Zheda Road 38 310027 Hangzhou China
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Yenkie KM, Wu W, Clark RL, Pfleger BF, Root TW, Maravelias CT. A roadmap for the synthesis of separation networks for the recovery of bio-based chemicals: Matching biological and process feasibility. Biotechnol Adv 2016; 34:1362-1383. [PMID: 27756578 DOI: 10.1016/j.biotechadv.2016.10.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 09/20/2016] [Accepted: 10/14/2016] [Indexed: 12/20/2022]
Abstract
Microbial conversion of renewable feedstocks to high-value chemicals is an attractive alternative to current petrochemical processes because it offers the potential to reduce net CO2 emissions and integrate with bioremediation objectives. Microbes have been genetically engineered to produce a growing number of high-value chemicals in sufficient titer, rate, and yield from renewable feedstocks. However, high-yield bioconversion is only one aspect of an economically viable process. Separation of biologically synthesized chemicals from process streams is a major challenge that can contribute to >70% of the total production costs. Thus, process feasibility is dependent upon the efficient selection of separation technologies. This selection is dependent on upstream processing or biological parameters, such as microbial species, product titer and yield, and localization. Our goal is to present a roadmap for selection of appropriate technologies and generation of separation schemes for efficient recovery of bio-based chemicals by utilizing information from upstream processing, separation science and commercial requirements. To achieve this, we use a separation system comprising of three stages: (I) cell and product isolation, (II) product concentration, and (III) product purification and refinement. In each stage, we review the technology alternatives available for different tasks in terms of separation principles, important operating conditions, performance parameters, advantages and disadvantages. We generate separation schemes based on product localization and its solubility in water, the two most distinguishing properties. Subsequently, we present ideas for simplification of these schemes based on additional properties, such as physical state, density, volatility, and intended use. This simplification selectively narrows down the technology options and can be used for systematic process synthesis and optimal recovery of bio-based chemicals.
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Affiliation(s)
- Kirti M Yenkie
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, United States
| | - WenZhao Wu
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, United States
| | - Ryan L Clark
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, United States
| | - Brian F Pfleger
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, United States
| | - Thatcher W Root
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, United States
| | - Christos T Maravelias
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, United States.
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