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Cited by 768

The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

Pretreatment of lignocellulosic wastes for biofuel production: A critical review

Kumari, Dolly, Singh, Radhika·2018·Renewable and Sustainable Energy Reviews

Abstract

Abstract Protection of environment is of immediate concern and this can only be achieved by avoiding the use of chemicals for fuel production. Lignocellulosic waste is becoming popular as a feedstock for biofuel production. The can be converted into usable form for biofuel production by using a suitable pretreatment method. Different pretreatment methods have been used by researchers which are physical, chemical, physico-chemical, biological and combined pretreatments. Evidently chemical pretreatment is found to be more expensive as a large amount of chemicals are used for pretreating the lignocellulosic substrate. It has been shown that combined pretreatments are more effective as compared to single pretreatment and there is an extensive scope of combinations which can also be applied in future. Recent review critically discusses and compares different pretreatment methods, biomass resources, chemical composition of different agricultural biomass and the use of this biomass for bioenergy generation. Various pretreatment processes used for bio-hydrogen, bio-methane, bio-ethanol, bio-methanol bio-butanol and bio-diesel production are also discussed.

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Metadata

Authors
Kumari, D., & Singh, R.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2018-07
Volume
90
Pages
877-891
ISSN
1364-0321 (ISSN-L)
OpenAlex
W2803098024
Cited by
768
References
123
FWCI
30.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Pretreatment of lignocellulosic wastes for biofuel production: A critical review. https://app.cochat.ai/papers/10.1016/j.rser.2018.03.111
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Kumari, D., & Singh, R. (2018). Pretreatment of lignocellulosic wastes for biofuel production: A critical review. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2018.03.111

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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.