Abstract

The purpose of this work was to optimize the pretreatment process of wheat straw by Polyporus brumalis_BRFM985 in order to improve carbohydrate accessibility for more efficient bioconversion. Indeed, there is growing demands to develop sustainable routes for lignocellulosic feedstocks valorization into value‐added products in energy, chemicals, materials, and animal feed fields. To be achieved, implementation of cheap and ecofriendly biomass pretreatment processes is necessary. In this frame, white rot basidiomycetes, well known for their ability to degrade lignin efficiently and selectively, are of great interest. The pretreatment of wheat straw by Polyporus brumalis_BRFM985 was performed in packed bed bioreactor and optimized using response surface methodology. The four pretreatment parameters optimized were metals addition (Cu, Mn, and Fe), time of culture, initial water content, and temperature. Multicriteria optimization highlighted that wheat straw pretreatment by Polyporus brumalis_ BRFM985 in the presence of metals with high initial water content of 3.6 g H2O/g at 27°C for 15–16 days led to an improvement of carbohydrate accessibility with minimal matter loss.

Highlights

  • Lignocellulosic main polymers, that is, cellulose, lignin, and hemicelluloses, have tremendous potential as feedstocks for pulp and paper, biofuels, chemicals, nanoparticles, and animal feed productions (Beckham, Johnson, Karp, Salvachúa, & Vardon, 2016; Isroi et al, 2011; van Kuijk, Sonnenberg, Baars, Hendriks, & Cone, 2015)

  • 1≤ i ≤ n−1 i=2 i+1≤j≤n where Xi (i = 1, 2, ..., n) the undimensional variables and bi the coefficients of the model that will be estimated from the experimental results

  • The center points of the quantitative variables experimental domain with level (−1) of the qualitative one were repeated four times and were used to calculate the variance of experimental error and to test lack of fit of the postulated model. The objective of this modeling is to establish a quantitative relation between the variation in the outputs and the variation in the experimental conditions

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Summary

Introduction

Lignocellulosic main polymers, that is, cellulose, lignin, and hemicelluloses, have tremendous potential as feedstocks for pulp and paper, biofuels, chemicals, nanoparticles, and animal feed productions (Beckham, Johnson, Karp, Salvachúa, & Vardon, 2016; Isroi et al, 2011; van Kuijk, Sonnenberg, Baars, Hendriks, & Cone, 2015). In many of these application fields, carbohydrate accessibility, which are naturally embedded in lignin matrix, is a main bottleneck.

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