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Determination of volumetric gas–liquid mass transfer coefficient of carbon monoxide in a batch cultivation system using kinetic simulations

Nulee Jang, Muhammad Yasin, Shinyoung Park, Robert Lovitt Orcid Logo, In Seop Chang

Bioresource Technology, Volume: 239, Pages: 387 - 393

Swansea University Author: Robert Lovitt Orcid Logo

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DOI (Published version): 10.1016/j.biortech.2017.05.023

Abstract

A mathematical model of microbial kinetics was introduced to predict the overall volumetric gas–liquid mass transfer coefficient (kLa) of carbon monoxide (CO) in a batch cultivation system. The cell concentration (X), acetate concentration (Cace), headspace gas (Nco and Nco2), dissolved CO concentra...

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Published in: Bioresource Technology
ISSN: 09608524
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa33250
first_indexed 2017-05-08T12:52:31Z
last_indexed 2018-02-09T05:22:03Z
id cronfa33250
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spelling 2017-07-31T14:14:41.4463418 v2 33250 2017-05-08 Determination of volumetric gas–liquid mass transfer coefficient of carbon monoxide in a batch cultivation system using kinetic simulations 130c3c35f45826bb0f4836305e8e51c7 0000-0002-5587-2776 Robert Lovitt Robert Lovitt true false 2017-05-08 A mathematical model of microbial kinetics was introduced to predict the overall volumetric gas–liquid mass transfer coefficient (kLa) of carbon monoxide (CO) in a batch cultivation system. The cell concentration (X), acetate concentration (Cace), headspace gas (Nco and Nco2), dissolved CO concentration in the fermentation medium (Cco), and mass transfer rate (R) were simulated using a variety of kLa values. The simulated results showed excellent agreement with the experimental data for a kLa of 13 /hr. The Cco values decreased with increase in cultivation times, whereas the maximum mass transfer rate was achieved at the mid-log phase due to vigorous microbial CO consumption rate higher than R. The model suggested in this study may be applied to a variety of microbial systems involving gaseous substrates. Journal Article Bioresource Technology 239 387 393 09608524 Carbon monoxide; Gas–liquid mass transfer; Kinetic simulation; Eubacterium limosum KIST612; Batch cultivation 31 12 2017 2017-12-31 10.1016/j.biortech.2017.05.023 COLLEGE NANME COLLEGE CODE Swansea University 2017-07-31T14:14:41.4463418 2017-05-08T09:06:29.2426590 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Nulee Jang 1 Muhammad Yasin 2 Shinyoung Park 3 Robert Lovitt 0000-0002-5587-2776 4 In Seop Chang 5 0033250-08052017090827.pdf jang2017.pdf 2017-05-08T09:08:27.8200000 Output 750809 application/pdf Accepted Manuscript true 2018-05-06T00:00:00.0000000 true eng
title Determination of volumetric gas–liquid mass transfer coefficient of carbon monoxide in a batch cultivation system using kinetic simulations
spellingShingle Determination of volumetric gas–liquid mass transfer coefficient of carbon monoxide in a batch cultivation system using kinetic simulations
Robert Lovitt
title_short Determination of volumetric gas–liquid mass transfer coefficient of carbon monoxide in a batch cultivation system using kinetic simulations
title_full Determination of volumetric gas–liquid mass transfer coefficient of carbon monoxide in a batch cultivation system using kinetic simulations
title_fullStr Determination of volumetric gas–liquid mass transfer coefficient of carbon monoxide in a batch cultivation system using kinetic simulations
title_full_unstemmed Determination of volumetric gas–liquid mass transfer coefficient of carbon monoxide in a batch cultivation system using kinetic simulations
title_sort Determination of volumetric gas–liquid mass transfer coefficient of carbon monoxide in a batch cultivation system using kinetic simulations
author_id_str_mv 130c3c35f45826bb0f4836305e8e51c7
author_id_fullname_str_mv 130c3c35f45826bb0f4836305e8e51c7_***_Robert Lovitt
author Robert Lovitt
author2 Nulee Jang
Muhammad Yasin
Shinyoung Park
Robert Lovitt
In Seop Chang
format Journal article
container_title Bioresource Technology
container_volume 239
container_start_page 387
publishDate 2017
institution Swansea University
issn 09608524
doi_str_mv 10.1016/j.biortech.2017.05.023
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description A mathematical model of microbial kinetics was introduced to predict the overall volumetric gas–liquid mass transfer coefficient (kLa) of carbon monoxide (CO) in a batch cultivation system. The cell concentration (X), acetate concentration (Cace), headspace gas (Nco and Nco2), dissolved CO concentration in the fermentation medium (Cco), and mass transfer rate (R) were simulated using a variety of kLa values. The simulated results showed excellent agreement with the experimental data for a kLa of 13 /hr. The Cco values decreased with increase in cultivation times, whereas the maximum mass transfer rate was achieved at the mid-log phase due to vigorous microbial CO consumption rate higher than R. The model suggested in this study may be applied to a variety of microbial systems involving gaseous substrates.
published_date 2017-12-31T07:12:25Z
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score 11.047653

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