Lignocellulosic fibres surface interactions in enzymatic reaction using data-mining

Lignocellulosic fibres modification focused so far essentially on the resulting material properties to create functional fibres instead of determining the reaction influencing parameters. Using a data-mining algorithm, surface chemical composition of the fibres after modifications was compared to multiple signals. A 24 h reaction at either 25 degrees C or 60 degrees C, pH5 was conducted in presence of trans-ferulic acid, laccase, and lignocellulosic fibres (flax, hemp, or cellulose) having different chemical surface composition. Dimers and trimers were detected in variable concentrations in the reaction filtrate and extractive. At 25 degrees C, crystalline cellulose, amorphous cellulose, xylans, mannans, and lignins were well correlated to specific reaction products while at 60 degrees C, only lignins and xylan were found correlated to reaction products. Fibres surface composition affected the extractive profile. Lignocellulosic surface composition influence on the product formed was unveiled using a data mining approach. This study presents a way to unveil non-evident chemical interface interaction in reactions.

Automated summary

The study focuses on the influence of surface chemical composition of lignocellulosic fibres on the products formed during reactions, utilizing a data-mining approach to analyze the relationship between different parameters. Crystalline and amorphous cellulose, xylans, mannans, and lignins were found to be correlated with specific reaction products at 25 degrees C, while only lignins and xylan were correlated at 60 degrees C. The study reveals the importance of fibres' surface composition in determining the extractive profiles and overall reaction outcomes.