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基于不同预处理类型后玉米秸秆的组成、微观结构和酶解的比较及内在相关性分析。

Comparison and intrinsic correlation analysis based on composition, microstructure and enzymatic hydrolysis of corn stover after different types of pretreatments.

机构信息

College of Engineering, China Agricultural University (East Campus), 17 Qing-Hua-Dong-Lu, Hai-Dian District, Beijing 100083, PR China.

College of Engineering, China Agricultural University (East Campus), 17 Qing-Hua-Dong-Lu, Hai-Dian District, Beijing 100083, PR China.

出版信息

Bioresour Technol. 2019 Dec;293:122016. doi: 10.1016/j.biortech.2019.122016. Epub 2019 Aug 16.

Abstract

Pretreatment is a key step in the energy utilization of lignocellulosic biomass. Different types of pretreatments (ultrafine grinding pretreatment, alkaline hydroxide peroxide pretreatment, dilute acid pretreatment, and ammonia fiber expansion pretreatment) were conducted on corn stover. The lignocellulosic composition, microstructural parameters, and glucose yield of differently pretreated corn stover were characterized and compared. Then qualitative and quantitative correlation analyses of the parameters were carried out to explore the correlations among the composition, microstructure properties, and enzymatic hydrolysis efficacy of corn stover after different types of pretreatments and identify the main properties affecting enzymatic hydrolysis. Qualitative correlation analysis found that cellulose content, specific surface area, pore volume, enzyme-accessible pore volume, and surface area of cellulose had significant positive correlations with glucose yield. The results of quantitative correlation analysis were GY = 15.01 × cellulose content-339.05, GY = 13.06 × SSA + 172.35, GY = 7226.27 × PV + 129.14, GY = 8628.61 × EAPV + 125.61, and GY = 1.18 × SAC-287.21.

摘要

预处理是木质纤维素生物质能源利用的关键步骤。对玉米秸秆进行了不同类型的预处理(超细粉碎预处理、碱性过氧化物预处理、稀酸预处理和氨纤维膨胀预处理)。对不同预处理的玉米秸秆的木质纤维素成分、微观结构参数和葡萄糖产率进行了表征和比较。然后对参数进行定性和定量相关分析,以探讨不同类型预处理后玉米秸秆的组成、微观结构特性和酶解效果之间的相关性,并确定影响酶解的主要性质。定性相关分析发现,纤维素含量、比表面积、孔体积、酶可及孔体积和纤维素表面积与葡萄糖产率呈显著正相关。定量相关分析的结果为 GY=15.01×纤维素含量-339.05,GY=13.06×SSA+172.35,GY=7226.27×PV+129.14,GY=8628.61×EAPV+125.61,GY=1.18×SAC-287.21。

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