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      Typical conversion of lignocellulosic biomass into reducing sugars using dilute acid hydrolysis and alkaline pretreatment

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          Deep eutectic solvents (DESs) and their applications.

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            Features of promising technologies for pretreatment of lignocellulosic biomass.

            N. Mosier (2005)
            Cellulosic plant material represents an as-of-yet untapped source of fermentable sugars for significant industrial use. Many physio-chemical structural and compositional factors hinder the enzymatic digestibility of cellulose present in lignocellulosic biomass. The goal of any pretreatment technology is to alter or remove structural and compositional impediments to hydrolysis in order to improve the rate of enzyme hydrolysis and increase yields of fermentable sugars from cellulose or hemicellulose. These methods cause physical and/or chemical changes in the plant biomass in order to achieve this result. Experimental investigation of physical changes and chemical reactions that occur during pretreatment is required for the development of effective and mechanistic models that can be used for the rational design of pretreatment processes. Furthermore, pretreatment processing conditions must be tailored to the specific chemical and structural composition of the various, and variable, sources of lignocellulosic biomass. This paper reviews process parameters and their fundamental modes of action for promising pretreatment methods.
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              Methods for Pretreatment of Lignocellulosic Biomass for Efficient Hydrolysis and Biofuel Production

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                Author and article information

                Journal
                Cellulose
                Cellulose
                Springer Science and Business Media LLC
                0969-0239
                1572-882X
                June 2016
                April 18 2016
                June 2016
                : 23
                : 3
                : 1491-1520
                Article
                10.1007/s10570-016-0936-8
                5e09c0f5-b69e-4ccb-ade1-a778c43853cb
                © 2016

                http://www.springer.com/tdm

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