Single Cell Protein Production From Ethanol: Model-Based Bioreactor Operation at Industrial Scale

IF 3.5 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Eduardo Almeida Benalcázar, Wouter A. van Winden, Lars Puiman, John A. Posada, Mickel L. A. Jansen, Henk Noorman, Adrie J. J. Straathof
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The technical feasibility for producing up to 58 kt/y of SCP in a 600 m<sup>3</sup> bubble column operating in continuous mode was assessed and attributed mainly to a high O<sub>2</sub> transfer rate of 1.1 mol/(kg h) through the use of pure O<sub>2</sub>. However, most of the pure O<sub>2</sub> fed to the fermenter remains unconsumed due to the large gas flows needed to maximize mass transfer. In addition, biomass production may be hampered by high dissolved CO<sub>2</sub> concentrations and by large heat production. The model estimates a microbial biomass concentration of 114 g/kg, with a yield on ethanol of 0.61 g<sub>x</sub>/g<sub>ethanol</sub> (&gt; 95% <span data-altimg=\"/cms/asset/cdee15e5-a923-4a44-97ff-c9692f5252ae/bit28969-math-0001.png\"></span><mjx-container ctxtmenu_counter=\"403\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/bit28969-math-0001.png\"><mjx-semantics><mjx-mrow><mjx-mrow><mjx-msubsup data-semantic-children=\"0,4,5\" data-semantic-collapsed=\"(7 (6 0 4) 5)\" data-semantic- data-semantic-role=\"latinletter\" data-semantic-speech=\"upper Y Subscript x divided by s Superscript max\" data-semantic-type=\"subsup\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-parent=\"7\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-script style=\"vertical-align: -0.355em; margin-left: -0.182em;\"><mjx-mi data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"7\" data-semantic-role=\"limit function\" data-semantic-type=\"function\" size=\"s\" style=\"margin-left: 0.341em;\"><mjx-c></mjx-c><mjx-c></mjx-c><mjx-c></mjx-c></mjx-mi><mjx-spacer style=\"margin-top: 0.18em;\"></mjx-spacer><mjx-mrow data-semantic-children=\"1,3\" data-semantic-content=\"2\" data-semantic- data-semantic-parent=\"7\" data-semantic-role=\"division\" data-semantic-type=\"infixop\" size=\"s\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-mo data-semantic- data-semantic-operator=\"infixop,/\" data-semantic-parent=\"4\" data-semantic-role=\"division\" data-semantic-type=\"operator\" rspace=\"1\" space=\"1\"><mjx-c></mjx-c></mjx-mo><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi></mjx-mrow></mjx-script></mjx-msubsup></mjx-mrow></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00063592:media:bit28969:bit28969-math-0001\" display=\"inline\" location=\"graphic/bit28969-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><mrow><msubsup data-semantic-=\"\" data-semantic-children=\"0,4,5\" data-semantic-collapsed=\"(7 (6 0 4) 5)\" data-semantic-role=\"latinletter\" data-semantic-speech=\"upper Y Subscript x divided by s Superscript max\" data-semantic-type=\"subsup\"><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-parent=\"7\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\">Y</mi><mrow data-semantic-=\"\" data-semantic-children=\"1,3\" data-semantic-content=\"2\" data-semantic-parent=\"7\" data-semantic-role=\"division\" data-semantic-type=\"infixop\"><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\">x</mi><mo data-semantic-=\"\" data-semantic-operator=\"infixop,/\" data-semantic-parent=\"4\" data-semantic-role=\"division\" data-semantic-type=\"operator\">/</mo><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\">s</mi></mrow><mi data-semantic-=\"\" data-semantic-font=\"normal\" data-semantic-parent=\"7\" data-semantic-role=\"limit function\" data-semantic-type=\"function\">max</mi></msubsup></mrow></mrow>${Y}_{x/s}^{\\max }$</annotation></semantics></math></mjx-assistive-mml></mjx-container>). Although the large predicted O<sub>2</sub> transfer capacity seems technically feasible, it needs further experimental validation. The model structure allows the analysis of alternative substrates in the same way as identifying the best carbon feedstock.","PeriodicalId":9168,"journal":{"name":"Biotechnology and Bioengineering","volume":"24 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnology and Bioengineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/bit.28969","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Alternative fermentation feedstocks such as ethanol can be produced from CO2 via electrocatalytic processes that coproduce O2. In this study, industrial-scale fermentation of ethanol with pure O2 for single cell protein (SCP) production was studied using a modeling approach. This approach considered (i) microbial kinetics, (ii) gas–liquid transfer, and (iii) an exploration of potential operational constraints. The technical feasibility for producing up to 58 kt/y of SCP in a 600 m3 bubble column operating in continuous mode was assessed and attributed mainly to a high O2 transfer rate of 1.1 mol/(kg h) through the use of pure O2. However, most of the pure O2 fed to the fermenter remains unconsumed due to the large gas flows needed to maximize mass transfer. In addition, biomass production may be hampered by high dissolved CO2 concentrations and by large heat production. The model estimates a microbial biomass concentration of 114 g/kg, with a yield on ethanol of 0.61 gx/gethanol (> 95% Yx/smax${Y}_{x/s}^{\max }$). Although the large predicted O2 transfer capacity seems technically feasible, it needs further experimental validation. The model structure allows the analysis of alternative substrates in the same way as identifying the best carbon feedstock.
利用乙醇生产单细胞蛋白质:基于模型的工业规模生物反应器操作
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来源期刊
Biotechnology and Bioengineering
Biotechnology and Bioengineering 工程技术-生物工程与应用微生物
CiteScore
7.90
自引率
5.30%
发文量
280
审稿时长
2.1 months
期刊介绍: Biotechnology & Bioengineering publishes Perspectives, Articles, Reviews, Mini-Reviews, and Communications to the Editor that embrace all aspects of biotechnology. These include: -Enzyme systems and their applications, including enzyme reactors, purification, and applied aspects of protein engineering -Animal-cell biotechnology, including media development -Applied aspects of cellular physiology, metabolism, and energetics -Biocatalysis and applied enzymology, including enzyme reactors, protein engineering, and nanobiotechnology -Biothermodynamics -Biofuels, including biomass and renewable resource engineering -Biomaterials, including delivery systems and materials for tissue engineering -Bioprocess engineering, including kinetics and modeling of biological systems, transport phenomena in bioreactors, bioreactor design, monitoring, and control -Biosensors and instrumentation -Computational and systems biology, including bioinformatics and genomic/proteomic studies -Environmental biotechnology, including biofilms, algal systems, and bioremediation -Metabolic and cellular engineering -Plant-cell biotechnology -Spectroscopic and other analytical techniques for biotechnological applications -Synthetic biology -Tissue engineering, stem-cell bioengineering, regenerative medicine, gene therapy and delivery systems The editors will consider papers for publication based on novelty, their immediate or future impact on biotechnological processes, and their contribution to the advancement of biochemical engineering science. Submission of papers dealing with routine aspects of bioprocessing, description of established equipment, and routine applications of established methodologies (e.g., control strategies, modeling, experimental methods) is discouraged. Theoretical papers will be judged based on the novelty of the approach and their potential impact, or on their novel capability to predict and elucidate experimental observations.
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