赵莉娟, 胥江河, 王星敏, 邵承斌, 曾雪. 2017: 紫苏梗酶解糖化条件优化. 南方农业学报, 48(6): 1054-1061. DOI: 10.3969/j.issn.2095-1191.2017.06.19
引用本文: 赵莉娟, 胥江河, 王星敏, 邵承斌, 曾雪. 2017: 紫苏梗酶解糖化条件优化. 南方农业学报, 48(6): 1054-1061. DOI: 10.3969/j.issn.2095-1191.2017.06.19
ZHAO Li-juan, XU Jiang-he, WANG Xing-min, SHAO Cheng-bin, ZENG Xue. 2017: Optimization of enzymatic saccharification for perilla stem. Journal of Southern Agriculture, 48(6): 1054-1061. DOI: 10.3969/j.issn.2095-1191.2017.06.19
Citation: ZHAO Li-juan, XU Jiang-he, WANG Xing-min, SHAO Cheng-bin, ZENG Xue. 2017: Optimization of enzymatic saccharification for perilla stem. Journal of Southern Agriculture, 48(6): 1054-1061. DOI: 10.3969/j.issn.2095-1191.2017.06.19

紫苏梗酶解糖化条件优化

Optimization of enzymatic saccharification for perilla stem

  • 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.

     

    Abstract: ObjectiveThe appropriate conditions for compound enzyme preparation to catalyze hydrolysis of perilla stem were studied in order to improve the resource utilization of perilla stem. MethodUsing 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. ResultTwo 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. ConclusionThe 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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