Optimization of Lignin Extraction Variables by Response Surface Methodology from Pine Saw Dust, and Quantification of Major Structural Units in Isolated Lignin Fraction

Ahmed, Muhammad Ajaz; Lee, Jae Hoon; Choi, Joon Weon

doi:10.3390/app11041739

Open AccessArticle

Optimization of Lignin Extraction Variables by Response Surface Methodology from Pine Saw Dust, and Quantification of Major Structural Units in Isolated Lignin Fraction

by

Muhammad Ajaz Ahmed

¹,

Jae Hoon Lee

² and

Joon Weon Choi

^1,*

¹

Institute of Green-Bio Science and Technology, Seoul National University, Pyeongchangdaero 1447, Korea

²

Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul 08826, Korea

^*

Author to whom correspondence should be addressed.

Appl. Sci. 2021, 11(4), 1739; https://doi.org/10.3390/app11041739

Submission received: 13 January 2021 / Revised: 3 February 2021 / Accepted: 10 February 2021 / Published: 16 February 2021

(This article belongs to the Section Applied Biosciences and Bioengineering)

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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.

Keywords: pinewood; lignin extraction process; DFRC; 2D HSQC NMR

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MDPI and ACS Style

Ahmed, M.A.; Lee, J.H.; Choi, J.W. Optimization of Lignin Extraction Variables by Response Surface Methodology from Pine Saw Dust, and Quantification of Major Structural Units in Isolated Lignin Fraction. Appl. Sci. 2021, 11, 1739. https://doi.org/10.3390/app11041739

AMA Style

Ahmed MA, Lee JH, Choi JW. 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. 2021; 11(4):1739. https://doi.org/10.3390/app11041739

Chicago/Turabian Style

Ahmed, Muhammad Ajaz, Jae Hoon Lee, and Joon Weon Choi. 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 11, no. 4: 1739. https://doi.org/10.3390/app11041739

APA Style

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, 11(4), 1739. https://doi.org/10.3390/app11041739

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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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