Abstract
Most cellulolytic enzyme blends, either procured from a commercial vendor or isolated from a single cellulolytic microbial secretome, do not efficiently hydrolyze ammonia-pretreated (e.g., ammonia fiber expansion or AFEX) lignocellulosic agricultural crop residues like corn stover to fermentable sugars. Typically reported commercial enzyme loading (30-100 mg protein/g glucan) necessary to achieve >90% total hydrolysis yield (to monosaccharides) for AFEX treated biomass, within a short saccharification time frame (24-48 h), is economically unviable. Unlike acid based pretreatments, AFEX retains most of the hemicelluloses in the biomass and therefore requires a more complex suite of enzymes for efficient hydrolysis of cellulose and hemicellulose at industrially relevant high solids loadings. One strategy to reduce enzyme dosage while improving cocktail effectiveness for AFEX treated biomass has been to use individually purified enzymes to determine optimal enzyme combinations to maximize hydrolysis yields. However, this approach is limited by the selection of heterologous enzymes available or the labor required for isolating low abundance enzymes directly from the microbial secretomes. Here, we show that directly blending crude cellulolytic and hemicellulolytic enzymes-rich microbial secretomes can maximize specific activity on AFEX treated biomass without having to isolate individual enzymes. Fourteen commercially available cellulolytic and hemicellulolytic enzymes were procured from leading enzyme companies (Novozymes®, Genencor®, and Biocatalysts®) and were mixed together to generate several hundred unique cocktail combinations. The mixtures were assayed for activity on AFEX treated corn stover (AFEX-CS) using a previously established high-throughput methodology. The optimal enzyme blend combinations identified from these screening assays were enriched in various low abundance hemicellulases and accessory enzymes typically absent in most commercial cellulases cocktails. Our simple approach of blending crude commercially available enzyme cocktails allowed a drastic four-fold reduction in total enzyme requirements (from 30 to 7.5 mg enzyme/g glucan loading) to achieve near-theoretical cellulose and hemicellulose saccharification yields for AFEX treated corn stover.
Highlights
Depleting crude oil reserves climate change due to large-scale fossil fuels combustion, energy security-related concerns, and increasing rural economic development have attracted interests toward utilization of renewable lignocellulosic feedstocks for production of fuels and chemicals (Chundawat et al, 2011a; Chu and Majumdar, 2012)
The individual enzyme blends mixtures gave widely varying activities on AFEX-treated corn stover (AFEX-CS) that seemed to correlate with the absence of certain glycosyl hydrolase families identified in a recent proteomics study (Chundawat et al, 2011d)
Six of the original fourteen enzyme blends (CE 1, Commercial enzyme (CE) 5, CE 6, research-grade enzymes (RE) 1, RE 4, and RE 8) gave greater than 50% glucan conversion within the first 24 h for the highest protein loading tested (60 mg/g glucan)
Summary
Depleting crude oil reserves climate change due to large-scale fossil fuels combustion, energy security-related concerns, and increasing rural economic development have attracted interests toward utilization of renewable lignocellulosic feedstocks for production of fuels and chemicals (Chundawat et al, 2011a; Chu and Majumdar, 2012). Several studies have shown that model cellulosic and hemicellulosic substrates do not provide a reliable indication of their true hydrolytic potential on pretreated lignocellulosic biomass relevant to cellulosic refineries (Kabel et al, 2006; Berlin et al, 2007; Chundawat et al, 2011d). For pretreated biomass with a complex cell wall ultrastructure, selecting appropriate enzyme cocktails is critical to maximize overall yield of fermentable sugars. Considering that most alkaline pretreatments and low-severity acidic pretreatments leave behind a large fraction of unhydrolyzed hemicelluloses (Mosier et al, 2005; Chundawat et al, 2011a), it is more appropriate to directly screen and optimize enzyme mixtures on pretreated lignocellulosic substrates using high-throughput assays (Gao et al, 2010a)
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