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Title: A novel semi-structured kinetic model of methanotroph-photoautotroph cocultures for biogas conversion

Abstract

Through metabolic coupling of methane oxidation and oxygenic photosynthesis, methanotroph-photoautotroph (M-P) cocultures offer a highly promising technology platform for biogas conversion. However, there has not been any quantitative modeling of the coculture growth kinetics. This is mainly due to the inherent difficulty associated with real time characterization of the M-P cocultures and the complex interactions such as the cross-feeding mechanism within the coculture. To address this challenge, we recently developed a novel experimental-computational (E-C) protocol to accurately characterize the M-P coculture in real-time, and validated its accuracy through cell counting. Enabled by the E-C protocol, this work presents the very first kinetic model for M-P cocultures. By explicitly modeling the exchange of in situ produced O2/CO2 within the M-P coculture and coupling the individual biomass growth with mass transfer between the gas and liquid phases, the semi-structured kinetic model accurately predicts the growth dynamics of the M-P coculture under a wide range of growth conditions. The proposed model is validated by a series of wet-lab experiments using Methylomicrobium buryatense 5GB1 - Arthrospira platensis as the model coculture. Although it has been speculated that there may exist other emergent metabolic interactions within the M-P coculture, in addition to the exchange ofmore » in situ produced O2/CO2, there has not been any experimental validation prior to this study. By integrating designed experiments with the semi-structured kinetic model, this study is the first to confirm the existence of the additional emergent metabolic exchanges within the coculture. Furthermore, this study further quantifies the effect of these unknown metabolic interactions on the growth of both species in the model coculture, supporting further research to identify these exchanged metabolites for metabolic engineering.« less

Authors:
 [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Auburn Univ., AL (United States)
Publication Date:
Research Org.:
Auburn Univ., AL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1856239
Alternate Identifier(s):
OSTI ID: 1839151
Grant/Contract Number:  
SC0019181; DE‐SC0019181
Resource Type:
Accepted Manuscript
Journal Name:
Chemical Engineering Journal
Additional Journal Information:
Journal Volume: 431; Journal ID: ISSN 1385-8947
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; methanotroph-photoautotroph coculture; kinetic modeling; biogas conversion; self-shading effects; mass transfer

Citation Formats

Badr, Kiumars, He, Q. Peter, and Wang, Jin. A novel semi-structured kinetic model of methanotroph-photoautotroph cocultures for biogas conversion. United States: N. p., 2021. Web. doi:10.1016/j.cej.2021.133461.
Badr, Kiumars, He, Q. Peter, & Wang, Jin. A novel semi-structured kinetic model of methanotroph-photoautotroph cocultures for biogas conversion. United States. https://doi.org/10.1016/j.cej.2021.133461
Badr, Kiumars, He, Q. Peter, and Wang, Jin. Mon . "A novel semi-structured kinetic model of methanotroph-photoautotroph cocultures for biogas conversion". United States. https://doi.org/10.1016/j.cej.2021.133461. https://www.osti.gov/servlets/purl/1856239.
@article{osti_1856239,
title = {A novel semi-structured kinetic model of methanotroph-photoautotroph cocultures for biogas conversion},
author = {Badr, Kiumars and He, Q. Peter and Wang, Jin},
abstractNote = {Through metabolic coupling of methane oxidation and oxygenic photosynthesis, methanotroph-photoautotroph (M-P) cocultures offer a highly promising technology platform for biogas conversion. However, there has not been any quantitative modeling of the coculture growth kinetics. This is mainly due to the inherent difficulty associated with real time characterization of the M-P cocultures and the complex interactions such as the cross-feeding mechanism within the coculture. To address this challenge, we recently developed a novel experimental-computational (E-C) protocol to accurately characterize the M-P coculture in real-time, and validated its accuracy through cell counting. Enabled by the E-C protocol, this work presents the very first kinetic model for M-P cocultures. By explicitly modeling the exchange of in situ produced O2/CO2 within the M-P coculture and coupling the individual biomass growth with mass transfer between the gas and liquid phases, the semi-structured kinetic model accurately predicts the growth dynamics of the M-P coculture under a wide range of growth conditions. The proposed model is validated by a series of wet-lab experiments using Methylomicrobium buryatense 5GB1 - Arthrospira platensis as the model coculture. Although it has been speculated that there may exist other emergent metabolic interactions within the M-P coculture, in addition to the exchange of in situ produced O2/CO2, there has not been any experimental validation prior to this study. By integrating designed experiments with the semi-structured kinetic model, this study is the first to confirm the existence of the additional emergent metabolic exchanges within the coculture. Furthermore, this study further quantifies the effect of these unknown metabolic interactions on the growth of both species in the model coculture, supporting further research to identify these exchanged metabolites for metabolic engineering.},
doi = {10.1016/j.cej.2021.133461},
journal = {Chemical Engineering Journal},
number = ,
volume = 431,
place = {United States},
year = {2021},
month = {11}
}

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