• Title of article

    Optimization of cellulase mixture for efficient hydrolysis of steam-exploded corn stover by statistically designed experiments

  • Author/Authors

    Zhou، نويسنده , , Jin and Wang، نويسنده , , Yong-Hong and Chu، نويسنده , , Ju-jie Luo، نويسنده , , Ling-Zhi and Zhuang، نويسنده , , Ying-Ping and Zhang، نويسنده , , Si-Liang، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    7
  • From page
    819
  • To page
    825
  • Abstract
    To improve the enzymatic hydrolytic efficiency and reduce production cost, a statistically designed experimental approach was used to optimize the composition of cellulase mixture so as to maximize the amount of glucose produced from steam-exploded corn stover (SECS). Using seven purified enzymes (cellobiohydrolases, Cel7A, Cel6A, Cel6B; endoglucanases, Cel7B, Cel12A, Cel61A; and β-glucosidase) from Trichoderma viride T 100-14 mutant strain, a multi-enzyme mixture was constituted after screening and optimization. The final optimal composition (mol%) of the multi-enzyme mixture was Cel7A (19.8%), Cel6A (37.5%), Cel6B (4.7%), Cel7B (17.7%), Cel12A (15.2%), Cel61A (2.3%) and β-glucosidase (2.8%). The subsequent verification experiments followed by glucose assay together with scanning electron microscopy (SEM) observation confirmed the validity of the models. The multi-enzyme mixture displayed a high performance in converting the cellulosic substrate (SECS). The amount of glucose produced (15.5 mg/ml) was 2.1 times as that of the crude cellulase preparation. The results indicated that the optimized cellulase mixture is an available and efficient paradigm for the hydrolysis of lignocellulosic substrate. The enhanced cellulolytic activity displayed by the constructed cellulase mixture could be used as an effective tool for producing bioethanol efficiently from cellulose.
  • Keywords
    Cellulase mixture , optimization , Steam-exploded corn stover , Bioethanol , Statistically designed experiments
  • Journal title
    Bioresource Technology
  • Serial Year
    2009
  • Journal title
    Bioresource Technology
  • Record number

    1916686