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Water Sorption in Pretreated Grasses as a Predictor of Enzymatic Hydrolysis Yields
Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing.
Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing.
Department of Chemical Engineering, Michigan Technological University, Houghton, MI.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Chemical Engineering.ORCID iD: 0000-0002-9313-941X
2017 (English)In: Bioresource Technology, ISSN 0960-8524, E-ISSN 1873-2976, Vol. 245, 242-249 p.Article in journal (Refereed) Published
Abstract [en]

This work investigated the impact of two alkaline pretreatments, ammonia fiber expansion (AFEX) and alkaline hydrogen peroxide (AHP) delignification performed over a range of conditions on the properties of corn stover and switchgrass. Changes in feedstock properties resulting from pretreatment were subsequently compared to enzymatic hydrolysis yields to examine the relationship between enzymatic hydrolysis and cell wall properties. The pretreatments function to increase enzymatic hydrolysis yields through different mechanisms; AFEX pretreatment through lignin relocalization and some xylan solubilization and AHP primarily through lignin solubilization. An important outcome was that while changes in lignin content in AHP-delignified biomass could be clearly correlated to improved response to hydrolysis, compositional changes alone in AFEX-pretreated biomass could not explain differences in hydrolysis yields. We determined the water retention value, which characterizes the association of water with the cell wall of the pretreated biomass, can be used to predict hydrolysis yields for all pretreated biomass.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 245, 242-249 p.
National Category
Bioprocess Technology
Research subject
Biochemical Process Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-65470DOI: 10.1016/j.biortech.2017.08.200ISI: 000412443500030PubMedID: 28892697Scopus ID: 2-s2.0-85028983683OAI: oai:DiVA.org:ltu-65470DiVA: diva2:1138145
Note

Validerad;2017;Nivå 2;2017-09-25 (andbra)

Available from: 2017-09-04 Created: 2017-09-04 Last updated: 2017-11-24Bibliographically approved

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