Journal
BIOMASS & BIOENERGY
Volume 142, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.biombioe.2020.105734
Keywords
Sugarcane bagasse; Lignocellulose biomass; NMR; Time domain NMR; Low field NMR
Funding
- Sao Paulo Research Foundation (FAPESP) [2015/14306-0, 2016/10636-8]
- Ministry of Science, Technology and Innovation (SisNANO Program -National System of Laboratories in Nanotechnology)
- National Council for Scientific and Technological Development (CNPq)
- Co-ordination for the Improvement of Higher Education Personnel (CAPES) [001]
- Embrapa Rede Agro Nano and Institute of Energy and Climate Research [IEK-14]
- Forschungszentrum Mich
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Herein we describe a simple and fast spectroscopy method based on the Time Domain Nuclear Magnetic Resonance (TD-NMR) method (or low field NMR) to determine the efficiency of lignocellulosic biomass pretreatments for increasing saccharification by enzymes, a key step in second generation (2G) ethanol production. Three different pretreatments (liquid hot water (LHW), steam explosion (SE) and steam-exploded and delignified (SED) process) were used as characteristic processes to reduce biomass recalcitrance, being the untreated and treated biomass (sugarcane bagasse) fully characterized before and after the treatments - using electron microscopy, structural techniques and the direct evaluation of commercial enzyme activity. The analyses in TD-NMR indicate that the binding mode of water (1. Shorter T-2-water molecules of low mobility, which are adsorbed into the cell wall and around the lumens; 2. Intermediate T-2-looser water molecules and within small cellulose pores; 3. Longer T-2-water inside larger cellulose pores and excess water outside the cellulose pores) as evinced by the technique are directly related to the ability of each process for increasing the enzymatic action in the saccharification of pretreated biomass. Given its low cost and fast acquisition time, the proposed method based in TD-NMR could be especially useful as a predictive technique for control routines in large-scale industrial production of 2G ethanol.
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