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Cited by 586

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

A comprehensive review on pre-treatment strategy for lignocellulosic food industry waste: Challenges and opportunities

Open access
Ravindran, Rajeev, Jaiswal, Amit Kumar·2016·Bioresource Technology

Abstract

Lignocellulose is a generic term used to describe plant biomass. It is the most abundant renewable carbon resource in the world and is mainly composed of lignin, cellulose and hemicelluloses. Most of the food and food processing industry waste are lignocellulosic in nature with a global estimate of up to 1.3 billion tons/year. Lignocellulose, on hydrolysis, releases reducing sugars which is used for the production of bioethanol, biogas, organic acids, enzymes and biosorbents. However, structural conformation, high lignin content and crystalline cellulose hinder its use for value addition. Pre-treatment strategies facilitate the exposure of more cellulose and hemicelluloses for enzymatic hydrolysis. The present article confers about the structure of lignocellulose and how it influences enzymatic degradation emphasising the need for pre-treatments along with a comprehensive analysis and categorisation of the same. Finally, this article concludes with a detailed discussion on microbial/enzymatic inhibitors that arise post pre-treatment and strategies to eliminate them.

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Metadata

Authors
Ravindran, R., & Jaiswal, A. K.
Venue
Bioresource Technology
Publisher
Elsevier BV
Published
2016-01
Volume
199
Pages
92-102
ISSN
0960-8524 (ISSN-L)
OpenAlex
W1597212173
Cited by
586
References
66
FWCI
19.82
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A comprehensive review on pre-treatment strategy for lignocellulosic food industry waste: Challenges and opportunities. https://app.cochat.ai/papers/10.1016/j.biortech.2015.07.106
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Ravindran, R., & Jaiswal, A. K. (2016). A comprehensive review on pre-treatment strategy for lignocellulosic food industry waste: Challenges and opportunities. Bioresource Technology. https://doi.org/10.1016/j.biortech.2015.07.106

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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.