Back to Search Start Over

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

Authors :
Gwenaëlle Lashermes
Brigitte Chabbert
Richard Voinot
Laurent Bleuze
Sylvie Recous
François Lafolie
Fractionnement des AgroRessources et Environnement (FARE)
Université de Reims Champagne-Ardenne (URCA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH)
Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Source :
Bioresource Technology, Bioresource Technology, Elsevier, 2020, 311, pp.1-10. ⟨10.1016/j.biortech.2020.123558⟩
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

International audience; 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.

Details

ISSN :
09608524
Volume :
311
Database :
OpenAIRE
Journal :
Bioresource Technology
Accession number :
edsair.doi.dedup.....3fbd1d679a7107a1c012eb124759da5a
Full Text :
https://doi.org/10.1016/j.biortech.2020.123558