Predicting the chemical composition of biocrude from hydrothermal liquefaction of biomasses using a multivariate statistical approach

The effects of hydrothermal liquefaction process conditions and biochemical composition of feedstock on biocrude yield and major compound classes were investigated using regression models and machine learning.