Modeling molecular structure and behavior of microbial extracellular polymeric substances through interacting-particle reaction dynamics

Extracellular polymeric substances (EPS) are essential for bacteria to interact with external environments and play a key role in the formation of microbial aggregates. Unveiling the black box of EPS has become an urgent topic in the field of microbiology, medical science and environmental science....

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Autores principales: Run-Ze Xu, Jia-Shun Cao, Ganyu Feng, Jing-Yang Luo, Yang Wu, Bing-Jie Ni, Fang Fang
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/8ef55c9db92d48b09dad5a1886bf1dbd
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spelling oai:doaj.org-article:8ef55c9db92d48b09dad5a1886bf1dbd2021-11-18T04:52:50ZModeling molecular structure and behavior of microbial extracellular polymeric substances through interacting-particle reaction dynamics2666-821110.1016/j.ceja.2021.100154https://doaj.org/article/8ef55c9db92d48b09dad5a1886bf1dbd2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666821121000703https://doaj.org/toc/2666-8211Extracellular polymeric substances (EPS) are essential for bacteria to interact with external environments and play a key role in the formation of microbial aggregates. Unveiling the black box of EPS has become an urgent topic in the field of microbiology, medical science and environmental science. Here, we develop an explicit approach to describe the molecular structure and behaviors of EPS using interacting-particle reaction dynamics (iPRD). Three representative states of EPS (i.e., normal EPS layer, metal bridging EPS layer and extracted EPS layer) are qualitatively simulated at molecular scale and validated with previous research results on EPS. Furthermore, an averaged concentration representation method is proposed to quantitatively model the EPS-oriented bioprocesses. Through this method, the contents of protein and polysaccharide in EPS extracted by cation exchange resin are accurately predicted by our model (R2>0.982). This work gives new insights into EPS at the molecular scale and opens up new avenues for further exploring and modeling complex molecular structure and behaviors of EPS.Run-Ze XuJia-Shun CaoGanyu FengJing-Yang LuoYang WuBing-Jie NiFang FangElsevierarticleextracellular polymeric substancesinteracting-particle reaction dynamicscomputational biologyextractionmicrobial aggregatesaveraged concentration representation methodChemical engineeringTP155-156ENChemical Engineering Journal Advances, Vol 8, Iss , Pp 100154- (2021)
institution DOAJ
collection DOAJ
language EN
topic extracellular polymeric substances
interacting-particle reaction dynamics
computational biology
extraction
microbial aggregates
averaged concentration representation method
Chemical engineering
TP155-156
spellingShingle extracellular polymeric substances
interacting-particle reaction dynamics
computational biology
extraction
microbial aggregates
averaged concentration representation method
Chemical engineering
TP155-156
Run-Ze Xu
Jia-Shun Cao
Ganyu Feng
Jing-Yang Luo
Yang Wu
Bing-Jie Ni
Fang Fang
Modeling molecular structure and behavior of microbial extracellular polymeric substances through interacting-particle reaction dynamics
description Extracellular polymeric substances (EPS) are essential for bacteria to interact with external environments and play a key role in the formation of microbial aggregates. Unveiling the black box of EPS has become an urgent topic in the field of microbiology, medical science and environmental science. Here, we develop an explicit approach to describe the molecular structure and behaviors of EPS using interacting-particle reaction dynamics (iPRD). Three representative states of EPS (i.e., normal EPS layer, metal bridging EPS layer and extracted EPS layer) are qualitatively simulated at molecular scale and validated with previous research results on EPS. Furthermore, an averaged concentration representation method is proposed to quantitatively model the EPS-oriented bioprocesses. Through this method, the contents of protein and polysaccharide in EPS extracted by cation exchange resin are accurately predicted by our model (R2>0.982). This work gives new insights into EPS at the molecular scale and opens up new avenues for further exploring and modeling complex molecular structure and behaviors of EPS.
format article
author Run-Ze Xu
Jia-Shun Cao
Ganyu Feng
Jing-Yang Luo
Yang Wu
Bing-Jie Ni
Fang Fang
author_facet Run-Ze Xu
Jia-Shun Cao
Ganyu Feng
Jing-Yang Luo
Yang Wu
Bing-Jie Ni
Fang Fang
author_sort Run-Ze Xu
title Modeling molecular structure and behavior of microbial extracellular polymeric substances through interacting-particle reaction dynamics
title_short Modeling molecular structure and behavior of microbial extracellular polymeric substances through interacting-particle reaction dynamics
title_full Modeling molecular structure and behavior of microbial extracellular polymeric substances through interacting-particle reaction dynamics
title_fullStr Modeling molecular structure and behavior of microbial extracellular polymeric substances through interacting-particle reaction dynamics
title_full_unstemmed Modeling molecular structure and behavior of microbial extracellular polymeric substances through interacting-particle reaction dynamics
title_sort modeling molecular structure and behavior of microbial extracellular polymeric substances through interacting-particle reaction dynamics
publisher Elsevier
publishDate 2021
url https://doaj.org/article/8ef55c9db92d48b09dad5a1886bf1dbd
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