Dataset Information

Optimization of biomass pretreatments using fractional factorial experimental design.

ABSTRACT:

Background

Pretreatments are one of the main bottlenecks for the lignocellulose conversion process and the search for cheaper and effective pretreatment methodologies for each biomass is a complex but fundamental task. Here, we used a 2?^5-1 fractional factorial design (FFD) to optimize five pretreatment variables: milling time, temperature, double treatment, chemical concentration, and pretreatment time in acid-alkali (EA) and acid-organosolv (EO) pretreatments, applied to elephant grass leaves.

Results

FFD allowed optimization of the pretreatment conditions using a reduced number of experiments and allowed the identification of secondary interactions between the factors. FFD showed that the temperature can be kept at its lower level and that the first acid step can be eliminated in both pretreatments, without significant losses to enzymatic hydrolysis. EA resulted in the highest release of reducing sugars (maximum of 205 mg/g substrate in comparison to 152 mg/g in EO and 40 mg/g in the untreated sample), using the following conditions in the alkali step: [NaOH]?=?4.5% w/v; 85 °C and 100 min after ball milling the sample. The factors statistically significant (P?ConclusionThe results presented herewith contribute to the development of more efficient and viable pretreatments to produce cellulosic ethanol from grass biomasses, saving time, costs and energy. They also facilitate the design of enzymatic cocktails and a more appropriate use of the sugars contained in the pretreatment liquors, by establishing the key recalcitrant polymers in the solids resulting from each processing step.

SUBMITTER: Rezende CA

PROVIDER: S-EPMC6058377 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Optimization of biomass pretreatments using fractional factorial experimental design.

Rezende Camila A CA Atta Beatriz W BW Breitkreitz Marcia C MC Simister Rachael R Gomez Leonardo D LD McQueen-Mason Simon J SJ

Biotechnology for biofuels 20180724

<h4>Background</h4>Pretreatments are one of the main bottlenecks for the lignocellulose conversion process and the search for cheaper and effective pretreatment methodologies for each biomass is a complex but fundamental task. Here, we used a 2ν<sup>5-1</sup> fractional factorial design (FFD) to optimize five pretreatment variables: milling time, temperature, double treatment, chemical concentration, and pretreatment time in acid-alkali (EA) and acid-organosolv (EO) pretreatments, applied to ele ...[more]

PMID: 30061928

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Dataset Information

Optimization of biomass pretreatments using fractional factorial experimental design.

Background

Results

Publications

Optimization of biomass pretreatments using fractional factorial experimental design.

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