Mathematical Modelling in Polyhydroxyalkanoates (PHAs) production–a state of the art review

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This review surveys mathematical models for polyhydroxyalkanoate production, examining their scientific basis, assumptions, applications, and limitations across various bioreactor systems.

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This preprint state-of-the-art review examines mathematical models for polyhydroxyalkanoates (PHAs) production, focusing on how modeling can capture dynamics of carbon flux partitioning between microbial growth and polymer accumulation. It surveys modeling frameworks used across different bioreactor systems, including models for single- vs multi-substrate growth, substrate or product inhibition, and phase-shift parameter perturbations, and discusses assumptions, usage, and limitations with suggestions for improving existing models. A key caveat is that the paper emphasizes model selection and reported limitations rather than presenting new experimental or fully validated model predictions. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Polyhydroxyalkanoates (PHAs) are steadily getting integrated into our daily life due to their biocompatibility, biodegradability, and production from renewable sources. Different microbial species can accumulate the PHAs from verities of substrates and yield can be improved by strategic optimization of carbon flux into the biomass growth and polymer accumulation. Modelling bioprocess of PHA production is not only essential to understand the dynamics but also to trace the optimal operating conditions. A variety of models has been proposed in the literature depending on single or multi-substrate growth, involvement of substrate or product inhibition and parametric perturbation shifting from growth to PHA accumulation phase. Therefore, this communication attempts to review the scientific basis, assumption, usage, and limitations of those mathematical models at large while suggesting improvement on existing ones. Exploration of those models in different bioreactor systems, adopted strategies in model selection exercise has also been reviewed.
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Mathematical Modelling in Polyhydroxyalkanoates (PHAs) production–a state of the art review | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 31 January 2024 V1 Latest version Share on Mathematical Modelling in Polyhydroxyalkanoates (PHAs) production–a state of the art review Authors : Pema Lhamo and BISWANATH MAHANTY 0000-0002-5815-2440 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.170670133.30100950/v1 286 views 166 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Polyhydroxyalkanoates (PHAs) are steadily getting integrated into our daily life due to their biocompatibility, biodegradability, and production from renewable sources. Different microbial species can accumulate the PHAs from verities of substrates and yield can be improved by strategic optimization of carbon flux into the biomass growth and polymer accumulation. Modelling bioprocess of PHA production is not only essential to understand the dynamics but also to trace the optimal operating conditions. A variety of models has been proposed in the literature depending on single or multi-substrate growth, involvement of substrate or product inhibition and parametric perturbation shifting from growth to PHA accumulation phase. Therefore, this communication attempts to review the scientific basis, assumption, usage, and limitations of those mathematical models at large while suggesting improvement on existing ones. Exploration of those models in different bioreactor systems, adopted strategies in model selection exercise has also been reviewed. Supplementary Material File (systemic review- 06.01.2022.docx) Download 530.32 KB Information & Authors Information Version history V1 Version 1 31 January 2024 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords biochemical engineering biopolymers bioprocess development bioprocess engineering bioprocess modelling kinetics modeling polyhydroxyalkanoates Authors Affiliations Pema Lhamo Karunya Institute of Technology and Sciences View all articles by this author BISWANATH MAHANTY 0000-0002-5815-2440 [email protected] Karunya Institute of Technology and Sciences View all articles by this author Metrics & Citations Metrics Article Usage 286 views 166 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Pema Lhamo, BISWANATH MAHANTY. Mathematical Modelling in Polyhydroxyalkanoates (PHAs) production–a state of the art review. Authorea . 31 January 2024. DOI: https://doi.org/10.22541/au.170670133.30100950/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. 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