Optimization of lignin extraction variables by response surface methodology from pine saw dust, and quantification of major structural units in isolated lignin fraction

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Abstract

A synergistic combination of dioxane, acetic acid, and HCl was investigated for lignin extraction from pine wood biomass. After initial screening of reagent combination, response surface methodology (RSM) was used to optimize the lignin yield with respect to the variables of time 24–72 h, solids loading 5–15%, and catalyst dose 5–15 mL. A quadratic model predicted 8.33% of the lignin yield, and it was further confirmed experimentally and through the analysis of variance (ANOVA). Lignin at optimum combination exhibited features in terms of derivatization followed by reductive cleavage (DFRC) with a value of (305 µmol/gm), average molecular weights of 4358 and polydispersity of 1.65, and 2D heteronuclear single quantum coherence nuclear magnetic resonance spectrum (2D-HSQC NMR) analysis showing relative β-O-4 linkages (37.80%). From here it can be suggested that this fractionation can be one option for high quality lignin extraction from lignocellulosic biomass.

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Ahmed, M. A., Lee, J. H., & Choi, J. W. (2021). Optimization of lignin extraction variables by response surface methodology from pine saw dust, and quantification of major structural units in isolated lignin fraction. Applied Sciences (Switzerland), 11(4), 1–14. https://doi.org/10.3390/app11041739

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