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| Effects of Substrate Characteristics of Corncob Residues on Its Enzymatic Hydrolysis Efficiency |
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| DOI：10.11981/j.issn.1000-6842.2018.04.17 |
| Key Words:corncob residues; enzymatic hydrolysis; PFI refining; glucose conversion yield; multivariate linear regression model |
| Fund Project:国家自然科学基金项目（31770634）；天津市自然科学基金项目（17JCYBJC20600）；天津科技大学青年教师创新基金（2015LG30）。 |
| Author Name | Affiliation | | WANG Bing | Tianjin Key Laboratory of Pulp and Paper， Tianjin University of Science & Technology， Tianjin， 300457 | | LIU Wei* | Tianjin Key Laboratory of Pulp and Paper， Tianjin University of Science & Technology， Tianjin， 300457 | | LIU Lu | Tianjin Key Laboratory of Pulp and Paper， Tianjin University of Science & Technology， Tianjin， 300457 | | ZHANG Pei-qing | Tianjin Key Laboratory of Pulp and Paper， Tianjin University of Science & Technology， Tianjin， 300457 | | HOU Qing-xi | Tianjin Key Laboratory of Pulp and Paper， Tianjin University of Science & Technology， Tianjin， 300457 |
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| Abstract: |
| The utilization of agricultural wastes for biorefinery to produce biofuels is of great significance， which would alleviate energy crisis and reduce environmental pollution. The corncob residues （CRs） were chosen as the substrates for the enzymatic hydrolysis to produce fermentable sugars， the CRs’ characteristics were changed by PFI refining， and then the effects of these characteristics on the enzymatic hydrolysis efficiency were studied via principal component analysis and multivariable linear regression analysis. The results showed that PFI refining could obviously change the CRs’ characteristics， and improve the enzymatic hydrolysis efficiency significantly; the enzymatic hydrolysis reaction of CRs followed the pseudo-second-order model; a multivariate linear regression model between the enzymatic hydrolysis efficiency of CRs and its characteristics was established; the orders of these characteristics’ significance were as follows: water retention value， beating degree>average particle size>specific surface area >surface charge density． |
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