Modeling interactions of Clostridium cadaveris and Clostridium sporogenes in anaerobic acidogenesis of glucose and peptone.

Clostridium cadaveris Clostridium sporogenes Interspecies interaction Mathematical modeling Mixed substrate

Journal

Bioresource technology
ISSN: 1873-2976
Titre abrégé: Bioresour Technol
Pays: England
ID NLM: 9889523

Informations de publication

Date de publication:
25 Nov 2023
Historique:
received: 31 10 2023
revised: 22 11 2023
accepted: 22 11 2023
pubmed: 28 11 2023
medline: 28 11 2023
entrez: 28 11 2023
Statut: aheadofprint

Résumé

This study focuses on developing a mathematical model to assess interaction among acidogenic bacteria during the anaerobic degradation of two substrates. Clostridium cadaveris and Clostridium sporogenes were cultured in various combinations with glucose and peptone. Parameter estimates are given for both conventional Monod parameters from single substrate-single species cultures and sum kinetics with interaction parameters obtained from dual substrate-single species cultures. The presence of multiple substrates led to both inhibitory and enhancing effects on biodegradation rates for dual substrates compared to single substrate cultures. A new model of interspecies interaction was developed within the framework of Lotka-Volterra incorporating substrate interaction parameters, with a focus on accuracy, realism, simplicity, and biological significance. The model demonstrated competitive interaction for resource sharing and the additional non-linearity parameter eliminated the constraint of the linear relationship between growth rate and population density.

Identifiants

pubmed: 38013037
pii: S0960-8524(23)01527-4
doi: 10.1016/j.biortech.2023.130099
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

130099

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Md Abu Hanifa Jannat (MAH)

Division of Environmental Science and Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, South Korea. Electronic address: jannat15see@postech.ac.kr.

Sang Hyeok Park (SH)

Division of Environmental Science and Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, South Korea. Electronic address: kamdool3@postech.ac.kr.

Seokhwan Hwang (S)

Division of Environmental Science and Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, South Korea; Yonsei University Institute for Convergence Research and Education in Advanced Technology (I-CREATE), 85, Songdogwahak-ro, Yeonsu-gu, Incheon 21983, Republic of Korea. Electronic address: shwang@postech.ac.kr.

Classifications MeSH