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Cited by 1,209

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Lignin utilization: A review of lignin depolymerization from various aspects

Chio, Chonlong, Sain, Mohini, Qin, Wensheng·2019·Renewable and Sustainable Energy Reviews

Abstract

Abstract Lignin is the most abundant aromatic polymer in nature. Due to its high amount of phenolic compounds storage, lignin is considered as an alternative source for various polymers and biomaterials production. Except for the native lignin in lignocellulose, a massive amount of technical lignin is being produced daily all over the world. However, the complex structure and low reactivity of lignin limit its further applications and currently, most of the lignin is burned for generating energy. Therefore, the depolymerization of lignin is considered one of the important challenges in lignin utilization. Methods for lignin depolymerization can be divided into thermochemical treatment, mechanical treatment, chemical catalysis, and biological treatment. Different methods for lignin depolymerization, their characteristics and products are extensively discussed in this review.

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Metadata

Authors
Chio, C., Sain, M., & Qin, W.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2019-06
Volume
107
Pages
232-249
ISSN
1364-0321 (ISSN-L)
OpenAlex
W2922469927
Cited by
1,209
References
12
FWCI
35.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Lignin utilization: A review of lignin depolymerization from various aspects. https://app.cochat.ai/papers/10.1016/j.rser.2019.03.008
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Chio, C., Sain, M., & Qin, W. (2019). Lignin utilization: A review of lignin depolymerization from various aspects. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2019.03.008

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.