Machine-learning prediction of biomass chemical composition using derivative thermogravimetric data of different biomass feedstocks
The behaviour of biomass in bioenergy and biorefinery processes is determined by its contents of cellulose, hemicellulose, and lignin. The conventional wet chemical methods used to determine these fractions are reliable but time-consuming and laborious. This study attempts to determine whether these fractions can be ad...