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Multiscale modeling of microbial degradation of outer tissues of fiber-crop stems during the dew retting process.
Lashermes, Gwenaëlle; Bleuze, Laurent; Recous, Sylvie; Voinot, Richard; Lafolie, François; Chabbert, Brigitte.
Afiliação
  • Lashermes G; Université de Reims Champagne Ardenne, INRAE, FARE, 51100 Reims, France. Electronic address: gwenaelle.lashermes@inrae.fr.
  • Bleuze L; Université de Reims Champagne Ardenne, INRAE, FARE, 51100 Reims, France.
  • Recous S; Université de Reims Champagne Ardenne, INRAE, FARE, 51100 Reims, France.
  • Voinot R; Université de Reims Champagne Ardenne, INRAE, FARE, 51100 Reims, France.
  • Lafolie F; Université d'Avignon et des pays de Vaucluse, INRAE, EMMAH, 84000 Avignon, France.
  • Chabbert B; Université de Reims Champagne Ardenne, INRAE, FARE, 51100 Reims, France.
Bioresour Technol ; 311: 123558, 2020 Sep.
Article em En | MEDLINE | ID: mdl-32485603
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cannabis / Linho Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cannabis / Linho Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article