Characterizing Lignocellulosics from Pine to Bioethanol Poulomi Sannigrahi and Arthur J. Ragauskas School of Chemistry and Biochemistry Georgia Institute of Technology Technology, Atlanta Atlanta, GA. GA RESULTS: Enzyme hydrolysis and fermentation of Pine 350 Carbohydrate Profile % dry weight of untreated d wood Inorganic elements 100.0 Lobllolly Pine Sweetgum 300 Content (mg/K Kg) 250 Extractives content: Loblolly pine: 2.9 % Sweetgum: 0.4 % 200 150 80.0 60.0 40.0 100 20.0 50 70.0 * Medium enzyme loading 60.0 Untreated Acid Acid-enzyme Organosolv OS-enzyme 50.0 40.0 30.0 20.0 10.0 0.0 Arabinose Galactose GlucoseXylose Mannose Ba Cu Fe Na P 1200.0 O HO OH OH OH 50 40 O OH OH OH CH2OH OH O O OH 400.0 Organosolv Ca K Mg S Na Arabinose Galactose Glucose Xylose Mannose Loblolly pine Ash 0.2% Klason lignin 29.3% Acid-soluble lignin 0.4% Cellulose Iβ Paracrystalline Inaccessible fibril surface Fermentation with Saccharomyces cerevisiae pH 5.5; 30 °C; 48 h; 10 g/l yeast 10 10.0 0.0 0 20 Accessible fibril surface 6 CH2OH CH2OH CH2OH CH CH CH CH 1 CH 1 3 5 C5 (C-C) C3, C4 C1 C5 (C-H) 3 5 4 OH OH C in -O-4 Guaiacyl C in -O-4 SW x HW x 6 2 OCH3 CH O 3 4 C in -O-4,C in -5 and - 6 2 Syringyl OCH3 CH 1 2 3 5 4 OH p-Coumaryl x x 60 Time (hours) 80 100 Crystalline cellulose Cellulose Iα 45 Cellulose Iα+β 40 para-crystalline 35 Cellulose Iβ 30 25 20 15 5 Sweetgum 0.8% 26.0% 2.4% Comparison to Sweetgum Higher degree of crystallinity in Pine 62.5 % vs. 53.3 % Smaller proportion of cellulose Iα More para-crystalline cellulose Greater proportion of cellulose Iα+β Milled wood lignin: Quantitative 13C NMR 40 10 5 Spectral fitting results of the C4 region of cellulose NMR spectra ENZYME HYDROLYSIS AND FERMENTATION Celluclast 1.5L--20 FPU/g cellulose Novozym 188 188--40 40 IU/g cellulose 50 mM acetate buffer, pH 4.8; 45 °C; 96 h. 15 Mn C ll l Cellulose Iα+ β 65% Ethanol, 1.1% H2SO4, 170 °C, 60 min Cellulase and Cellobiase enzymes Accessible fibril surface 20 0.0 Aqueous Ammonia 5.6 M NH4OH; 50 °C; 48 h. 25 OH OH 0 OH OH OH PRETREATMENT STRATEGIES Step 1: 0.5% H2SO4; 180 °C; 10 min Step 2: 1% H2SO4; 200 °C; 2 min 20.0 50 CH2OH OH OH 600.0 200.0 OH OH 10 800.0 O Cellulose Iα Dilute sulfuric acid 30.0 Inaccessible fibril surface Cellulose: Solid-state CP/MAS 13C NMR Distribution map of Loblolly Pine 40.0 Accessible fibril ssurface rface 1000.0 x OCH3 Comparison to Sweetgum Fewer β-O-4 and β-β structures More phenolic structures More β-5 Greater no. of syringyl residues in sweetgum 0 Glucos se-to-ethanol conversion (%) HO HO 20 Acid Base OS 50.0 Amorphous cellulose 30 Relative proportion (%) OH 60 % dry weight of wood Content (mg/Kg) C b h d t Carbohydrates 30 60.0 Si 35 Widely prevalent softwood species in Eastern US Used for lumber, furniture, pulpwood and plywood Mature tree from Baldwin Co., GA sectioned, debarked and chipped Chips stored at < -5 °C Composite sample used for all analyses Cellulose glucose conversion 70.0 0.0 0 BIOMASS FEEDSTOCK 80.0 Relative proportion (%) Content (µg/g) dry wood Extractives Cellulose-to-glucose co onversion (%) LOBLOLLY PINE vs. SWEETGUM 0 Untreated Untreated Acid Acid-enz Base Base-enz Organosolv OS-enz Fermentation results 100 Acid-enzyme OS-enzyme 80 60 40 20 0 0 10 20 30 40 Time (hours) 50 60 Acid Acid-enz Base Base-enz Organosolv OS-enz Cellulose Crystallinity Index 120 Crystallinity Index (%) C INTRODUCTION The efficient processing of lignocellulosics into bioethanol is contingent on the characterization of the chemical constituents of plant carbohydrates and lignin and their changes in structure throughout the process. This program will evaluate the impact of process chemistry for three different biomass resources. The first year of this research program focused on a softwood biomass resource Loblolly Pine, while the second year is focused on the hardwood feedstock Sweetgum. Highlights of results from FY 2006-2007 are presented here along with comparison of the two different biomass feedstocks. 100 90 80 70 60 50 40 30 20 10 0 Untreated Acid Acid-enz Base Base-enz Organosolv OS-enz CONCLUSIONS: Loblolly Pine Organo-solv pretreatment is most effective Supported by SEM and chemical analysis Effects of pretreatments Decrease in ash •Pretreatments effectively remove metals Increased condensation of lignin Lignin molecular weight decreases Generate new ‘extractives’ Change in cellulose ultrastructure Effects of enzyme hydrolysis Increased cellulose crystallinity index Preferential removal of amorphous cellulose •Preferential Data suggests need to develop enzyme capable of degrading more stable cellulose forms (eg. Iβ)
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