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Cited by 325

The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.

Bioethanol Production by Enzymatic Hydrolysis from Different Lignocellulosic Sources

Open access
Vasić, Katja, Knez, Željko, Leitgeb, Maja·2021·Molecules

Abstract

As the need for non-renewable sources such as fossil fuels has increased during the last few decades, the search for sustainable and renewable alternative sources has gained growing interest. Enzymatic hydrolysis in bioethanol production presents an important step, where sugars that are fermented are obtained in the final fermentation process. In the process of enzymatic hydrolysis, more and more new effective enzymes are being researched to ensure a more cost-effective process. There are many different enzyme strategies implemented in hydrolysis protocols, where different lignocellulosic biomass, such as wood feedstocks, different agricultural wastes, and marine algae are being used as substrates for an efficient bioethanol production. This review investigates the very recent enzymatic hydrolysis pathways in bioethanol production from lignocellulosic biomass.

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Crossref · 10.3390/molecules26030753

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Metadata

Authors
Vasić, K., Knez, Ž., & Leitgeb, M.
Venue
Molecules
Publisher
MDPI AG
Published
2021-02-01
Volume
26
Issue
3
Pages
753
ISSN
1420-3049 (ISSN-L)
OpenAlex
W3127788512
Cited by
325
References
125
FWCI
14.63
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Bioethanol Production by Enzymatic Hydrolysis from Different Lignocellulosic Sources. https://app.cochat.ai/papers/10.3390/molecules26030753
The paper
Vasić, K., Knez, Ž., & Leitgeb, M. (2021). Bioethanol Production by Enzymatic Hydrolysis from Different Lignocellulosic Sources. Molecules. https://doi.org/10.3390/molecules26030753

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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.