Multiscale modeling of microbial degradation of outer tissues of fiber-crop stems during the dew retting process.

Aerobic biodegradation Dew retting Microbial kinetics Multiscale modeling Plant fiber

Journal

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

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 06 02 2020
revised: 15 05 2020
accepted: 16 05 2020
pubmed: 3 6 2020
medline: 10 6 2020
entrez: 3 6 2020
Statut: ppublish

Résumé

Dew retting of fiber crops, such as hemp or flax, in the field after harvest promotes the microbial biodegradation of the tissues surrounding cellulosic fibers, which helps preserve the quality of fibers during their extraction and valorization for industry. This bioprocess is currently the bottleneck for plant fiber valorization because it is empirically managed and its controlling factors have not been properly quantified. A novel multiscale model representing tissue and polymer biodegradation was developed to simulate microbial growth on the stem during retting. The model was evaluated against experimental hemp retting data. It consistently simulated the mass loss of eight plant polymers belonging to two tissues of the stem outer layer, i.e., parenchyma and fiber bundles. Microbial growth was modeled by Monod equations and modulated by the functions of temperature and moisture. This work provides a tool for gaining more insights into microorganism behavior during retting under local climate conditions.

Identifiants

pubmed: 32485603
pii: S0960-8524(20)30830-0
doi: 10.1016/j.biortech.2020.123558
pii:
doi:

Substances chimiques

Dietary Fiber 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123558

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

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

Gwenaëlle Lashermes (G)

Université de Reims Champagne Ardenne, INRAE, FARE, 51100 Reims, France. Electronic address: gwenaelle.lashermes@inrae.fr.

Laurent Bleuze (L)

Université de Reims Champagne Ardenne, INRAE, FARE, 51100 Reims, France.

Sylvie Recous (S)

Université de Reims Champagne Ardenne, INRAE, FARE, 51100 Reims, France.

Richard Voinot (R)

Université de Reims Champagne Ardenne, INRAE, FARE, 51100 Reims, France.

François Lafolie (F)

Université d'Avignon et des pays de Vaucluse, INRAE, EMMAH, 84000 Avignon, France.

Brigitte Chabbert (B)

Université de Reims Champagne Ardenne, INRAE, FARE, 51100 Reims, France.

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Classifications MeSH