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Pretreatment of Lignocellulosic Materials as Substrates for Fermentation Processes
Open accessAbstract
Lignocellulosic biomass is an abundant and renewable resource that potentially contains large amounts of energy. It is an interesting alternative for fossil fuels, allowing the production of biofuels and other organic compounds. In this paper, a review devoted to the processing of lignocellulosic materials as substrates for fermentation processes is presented. The review focuses on physical, chemical, physicochemical, enzymatic, and microbiologic methods of biomass pretreatment. In addition to the evaluation of the mentioned methods, the aim of the paper is to understand the possibilities of the biomass pretreatment and their influence on the efficiency of biofuels and organic compounds production. The effects of different pretreatment methods on the lignocellulosic biomass structure are described along with a discussion of the benefits and drawbacks of each method, including the potential generation of inhibitory compounds for enzymatic hydrolysis, the effect on cellulose digestibility, the generation of compounds that are toxic for the environment, and energy and economic demand. The results of the investigations imply that only the stepwise pretreatment procedure may ensure effective fermentation of the lignocellulosic biomass. Pretreatment step is still a challenge for obtaining cost-effective and competitive technology for large-scale conversion of lignocellulosic biomass into fermentable sugars with low inhibitory concentration.
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Features of promising technologies for pretreatment of lignocellulosic biomass
MOSIER, N. (2005) · Bioresource Technology · doi:10.1016/j.biortech.2004.06.025 · Cited by 6,251
Jönsson, L. J., & Martín, C. (2016) · Bioresource Technology · doi:10.1016/j.biortech.2015.10.009 · Cited by 2,147
Biofuels Production through Biomass Pyrolysis—A Technological Review
Jahirul, M., Rasul, M., Chowdhury, A., & Ashwath, N. (2012) · Energies · doi:10.3390/en5124952 · Cited by 1,427
Solubility of Carbohydrates in Ionic Liquids
Zakrzewska, M. E., Bogel-Łukasik, E., & Bogel-Łukasik, R. (2010) · Energy & Fuels · doi:10.1021/ef901215m · Cited by 490
Binod, P., Satyanagalakshmi, K., Sindhu, R., Janu, K. U., Sukumaran, R. K., & Pandey, A. (2012) · Renewable Energy · doi:10.1016/j.renene.2011.06.007 · Cited by 400 · cited 1×
“[175] used combined microwave-acid, microwave-alkali, and microwave-alkali-acid pretreatment instead of conventional acid or alkaline pretreatment.”
MethodWaste to Wealth- Value Recovery from Agro-food Processing Wastes Using Biotechnology: A Review
Ezejiofor, T. (2014) · British Biotechnology Journal · doi:10.9734/bbj/2014/7017 · Cited by 116
Cited by
Noremylia, M. B., Hassan, M. Z., & Ismail, Z. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.03.064 · Cited by 268
Bioethanol from macroalgae: Prospects and challenges
Ramachandra, T. V., & Hebbale, D. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109479 · Cited by 184
Microbial biotechnology for bioenergy: general overviews
Aransiola, S. A., Adeniyi, O. S., Omoregie, I. P., Akinhanmi, F. O., Oniha, M. I., & Maddela, N. R. (2024) · Microbial Biotechnology for Bioenergy · doi:10.1016/b978-0-443-14112-6.00001-8 · Cited by 8
Kululo, W. W., Habtu, N. G., Abera, M. K., Sendekie, Z. B., Fanta, S. W., & Yemata, T. A. (2025) · Green Energy and Technology · doi:10.1007/978-3-031-81730-4_15 · Cited by 3
Metadata
- Authors
- Kucharska, K., Rybarczyk, P., Hołowacz, I., Łukajtis, R., Glinka, M., & Kamiński, M.
- Venue
- Molecules
- Publisher
- MDPI AG
- Published
- 2018-11-10
- Volume
- 23
- Issue
- 11
- Pages
- 2937
- ISSN
- 1420-3049 (ISSN-L)
- OpenAlex
- W2900361946
- Cited by
- 589
- References
- 6
- FWCI
- 20.76
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kucharska, K., Rybarczyk, P., Hołowacz, I., Łukajtis, R., Glinka, M., & Kamiński, M. (2018). Pretreatment of Lignocellulosic Materials as Substrates for Fermentation Processes. Molecules. https://doi.org/10.3390/molecules23112937
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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