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 2ν^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 c

SUBMITTER: Rezende CA 

PROVIDER: S-EPMC6058377 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature