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      Densifying lignocellulosic biomass with sulfuric acid provides a durable feedstock with high digestibility and high fermentability for cellulosic ethanol production

      , , , , , , ,
      Renewable Energy
      Elsevier BV

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          Pretreatment of lignocellulose: Formation of inhibitory by-products and strategies for minimizing their effects.

          Biochemical conversion of lignocellulosic feedstocks to advanced biofuels and other commodities through a sugar-platform process involves a pretreatment step enhancing the susceptibility of the cellulose to enzymatic hydrolysis. A side effect of pretreatment is formation of lignocellulose-derived by-products that inhibit microbial and enzymatic biocatalysts. This review provides an overview of the formation of inhibitory by-products from lignocellulosic feedstocks as a consequence of using different pretreatment methods and feedstocks as well as an overview of different strategies used to alleviate problems with inhibitors. As technologies for biorefining of lignocellulose become mature and are transferred from laboratory environments to industrial contexts, the importance of management of inhibition problems is envisaged to increase as issues that become increasingly relevant will include the possibility to use recalcitrant feedstocks, obtaining high product yields and high productivity, minimizing the charges of enzymes and microorganisms, and using high solids loadings to obtain high product titers.
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            Bioethanol production from agricultural wastes: An overview

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              Production of bioethanol from lignocellulosic materials via the biochemical pathway: A review

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                Author and article information

                Journal
                Renewable Energy
                Renewable Energy
                Elsevier BV
                09601481
                January 2022
                January 2022
                : 182
                : 377-389
                Article
                10.1016/j.renene.2021.10.015
                8dc8fdfc-3bed-47ed-ba41-0be26770c9bb
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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