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Hemicellulase for pretreatment of lignocellulosic biomass: Mini Review

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  • Hemicellulase for pretreatment of lignocellulosic biomass: Mini Review

Dewina Syahrifa *, Mico Batara Tohab Situmorang, Nengah Dwianita Kusywytasari and Endry Nugroho Prasetyo

Department of Biology, Faculty of Science and Data Analytics, Sepuluh Nopember Institute of Technology, Surabaya 60111, Indonesia.

Review Article

International Journal of Science and Research Archive, 2025, 16(01), 1236-1239

Article DOI: 10.30574/ijsra.2025.16.1.2137

DOI url: https://doi.org/10.30574/ijsra.2025.16.1.2137

Received on 07 June 2025; revised on 15 July 2025; accepted on 17 July 2025

Pretreatment of lignocellulosic biomass is an important stage in bioethanol production and other bioconversions. One method that can be used is the enzymatic method. This method has a selective, efficient, and environmentally friendly approach. Hemicellulolytic enzymes such as xylanase and mannanase play an important role in hydrolyzing hemicellulose components, thereby opening up cellulase enzymes access to cellulose. The use of xylanase has been shown to increase sugar release from biomass such as rice straw and bagasse, while mannanase shows high effectiveness on mannan rich substrates such as palm kernel meal and coffee grounds. The combination of these two enzymes with cellulases accelerates saccharification and increases fermentable sugar conversion yields, making it a potential strategy in industrial scale biomass processing.

Hemicellulase; Xylanase; Mannanase; Lignocellulosic Biomass; Pretreatment 

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-2137.pdf

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Dewina Syahrifa, Mico Batara Tohab Situmorang, Nengah Dwianita Kusywytasari and Endry Nugroho Prasetyo. Hemicellulase for pretreatment of lignocellulosic biomass: Mini Review. International Journal of Science and Research Archive, 2025, 16(01), 1236-1239. Article DOI: https://doi.org/10.30574/ijsra.2025.16.1.2137.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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