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Disintegration of lignocellulosic biomass using deep eutectic solvents: degradation kinetics and Py-GCMS study

发表日期 April 28, 2023 (DOI: https://doi.org/10.54985/peeref.2304p2942277)

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作者

Abhisek Sahoo1 , Thallada Bhaskar2 , Kamal K. Pant1
  1. Department of Chemical Engineering, Indian Institute of Technology – Delhi
  2. Thermo-catalytic Process Area, Indian Institute of Petroleum - Dehradun

会议/活动

International Conference on Biotechnology for Resource Efficiency, Energy, Environment, Chemicals and Health (BRE3CH-2021), December 2021 (Dehradun, India)

海报摘要

The study explored the use of sugarcane bagasse and coconut coir pith as feedstock for lignin extraction through a Deep Eutectic Solvent pre-treatment process. Three DESs were synthesized, and Choline based Lewis acid DESs showed >80% lignin extraction. Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) was used to characterize the isolated lignin. Degradation kinetics and variation in the S/G ratio of biomass-derived lignin were evaluated. The study showed that there is a practical way to quickly characterize lignocellulosic biomass and a new way to use it all in a biorefinery. A comparative kinetic evaluation study of the pyrolysis reaction was also performed using a thermogravimetric analyzer (TGA).

关键词

Sugarcane bagasse, Coconut coir pith, Deep eutectic solvents, Delignificaton, TGA, Py-GC/MS

研究领域

Chemical Engineering, Energy Engineering, Environmental Engineering

参考文献

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附加信息

利益冲突
No competing interests were disclosed.
数据可用性声明
The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.
知识共享许可协议
Copyright © 2023 Sahoo et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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引用
Sahoo, A., Bhaskar, T., Pant, K. Disintegration of lignocellulosic biomass using deep eutectic solvents: degradation kinetics and Py-GCMS study [not peer reviewed]. Peeref 2023 (poster).
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