| 紫苏梗酶解糖化条件优化 |
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| 引用本文： | 赵莉娟,胥江河,王星敏,邵承斌,曾雪. 紫苏梗酶解糖化条件优化[J]. 南方农业学报, 2017, 48(6): 1054-1061. DOI: 10.3969/j.issn.2095-1191.2017.06.19 |
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| 作者姓名： | 赵莉娟 胥江河 王星敏 邵承斌 曾雪 |
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| 作者单位： | 重庆工商大学 环境与资源学院,重庆,400067重庆工商大学 环境与资源学院, 重庆 400067催化与功能有机分子重庆市重点实验室, 重庆 400067 |
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| 基金项目： | 重庆市科委应用开发项目，重庆市科委重点自然科学基金项目 |
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| 摘 要： | [目的]研究复合酶制剂催化水解紫苏梗的适宜条件,为紫苏梗生物质资源化利用提供技术支持.[方法]选用质量比4:25:12的纤维素酶、木聚糖酶和漆酶为复合酶制剂,在单因素试验的基础上,采用响应曲面法,以还原糖含量(Y)为响应值,建立紫苏梗水解糖化的数学模型和优化其工艺参数,并探究复合酶制剂投加量(A)、酶解时间(B)、酶解温度(C)和pH(D)4个因素对复合酶制剂催化水解紫苏梗组织纤维的影响.[结果]建立的紫苏梗催化水解二次多项回归方程为Y=107.28+7.26A+6.88B+3.09C-1.68D-20.57A2-19.41B2-18.42C2-28.26D2-3.63AB-4.98AC-2.93AD+1.93BC-1.20BD-1.33CD,其中复合酶制剂投加量对紫苏梗还原糖含量影响极显著(P<0.01),酶解时间影响显著(P<0.05).复合酶制剂催化水解紫苏梗的最佳工艺条件为:在复合酶制剂投加量1.0 g、酶解温度45℃、pH 5的条件下酶解5.4 h,可水解产还原糖108.8 mg/g,与预测值相差0.1 mg/g.[结论]采用响应曲面法优化获得的复合酶制剂催化水解紫苏梗产糖工艺,具有试验周期短、耗能低等优点,建立的数学模型对优化工艺具有可行性,可用于实际预测.
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| 关 键 词： | 紫苏梗 酶解 还原糖 工艺优化 |
Optimization of enzymatic saccharification for perilla stem |
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| ZHAO Li-juan,XU Jiang-he,WANG Xing-min,SHAO Cheng-bin,ZENG Xue. Optimization of enzymatic saccharification for perilla stem[J]. Journal of Southern Agriculture, 2017, 48(6): 1054-1061. DOI: 10.3969/j.issn.2095-1191.2017.06.19 |
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| Authors: | ZHAO Li-juan XU Jiang-he WANG Xing-min SHAO Cheng-bin ZENG Xue |
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| Abstract: | [Objective]The appropriate conditions for compound enzyme preparation to catalyze hydrolysis of perilla stem were studied in order to improve the resource utilization of perilla stem. [Method]Using compound enzyme with cellu-lase, xylanase and laccase(mass ratio 4:25:12), on the basis of single factor experiment, response surface methodology was conducted. With reducing sugar content(Y) as response value, the mathematical model and optimization process parame-ters of hydrolysis and saccharification of perilla stem were established. And effects of compound enzyme dosage(A), en-zyme hydrolysis time(B), enzymolysis temperature(C) and pH(D) on hydrolysis of perilla stem tissue fiber by compound enzyme preparation were investigated. [Result]Two regression equations of catalytic hydrolysis of perilla stem were estab-lished: Y=107.28+7.26A+6.88B+3.09C-1.68D-20.57A2-19.41B2-18.42C2-28.26D2-3.63AB-4.98AC-2.93AD+1.93BC-1.20BD-1.33CD. The dosage of compound enzyme had extremely significant influence on content of reducing sugar in per-illa stem(P<0.01), and enzymolysis time had significant influence on it(P<0.05). When 1.0 g compound enzyme prepara-tion were applied for saccharification of perilla stem, saccharification rate of 108.8 mg/g was obtained after 5.4 h hydrolysis at 45 ℃ and pH 5.Relative deviations was 0.1 mg/g compared to expected value. This was the optimum process for hydroly-zing perilla stem by compound enzyme preparation. [Conclusion]The optimization of enzyme catalyzed hydrolysis of perilla stem saccharification process obtained by response surface method has a short test period and low energy consump-tion. The mathematical model of the optimization process is feasible, and can be used in actual forecast. |
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| Keywords: | perilla stem enzymolysis reducing sugar process optimization |
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