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Cited by 305

The DOI matches its Crossref record; 166 of the 166 references it cites were found in a registry or an index.

Insight into Pretreatment Methods of Lignocellulosic Biomass to Increase Biogas Yield: Current State, Challenges, and Opportunities

Open access
Hernández-Beltrán, Javier Ulises, Hernández-De Lira, Inty Omar, Cruz-Santos, Mónica María, Saucedo-Luevanos, Alexia, Hernández-Terán, Fernando, Balagurusamy, Nagamani·2019·Applied Sciences

Abstract

Lignocellulosic biomass is recalcitrant due to its heterogeneous structure, which is one of the major limitations for its use as a feedstock for methane production. Although different pretreatment methods are being used, intermediaries formed are known to show adverse effect on microorganisms involved in methane formation. This review, apart from highlighting the efficiency and limitations of the different pretreatment methods from engineering, chemical, and biochemical point of views, will discuss the strategies to increase the carbon recovery in the form of methane by way of amending pretreatments to lower inhibitory effects on microbial groups and by optimizing process conditions.

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Crossref · 10.3390/app9183721

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Metadata

Authors
Hernández-Beltrán, J. U., Hernández-De Lira, I. O., Cruz-Santos, M. M., Saucedo-Luevanos, A., Hernández-Terán, F., & Balagurusamy, N.
Venue
Applied Sciences
Publisher
MDPI AG
Published
2019-09-06
Volume
9
Issue
18
Pages
3721
ISSN
2076-3417 (ISSN-L)
OpenAlex
W2972683979
Cited by
305
References
166
FWCI
15.94
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Insight into Pretreatment Methods of Lignocellulosic Biomass to Increase Biogas Yield: Current State, Challenges, and Opportunities. https://app.cochat.ai/papers/10.3390/app9183721
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Hernández-Beltrán, J. U., Hernández-De Lira, I. O., Cruz-Santos, M. M., Saucedo-Luevanos, A., Hernández-Terán, F., & Balagurusamy, N. (2019). Insight into Pretreatment Methods of Lignocellulosic Biomass to Increase Biogas Yield: Current State, Challenges, and Opportunities. Applied Sciences. https://doi.org/10.3390/app9183721

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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.