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机构地区:[1]宁夏大学能源化工国家重点实验室培育基地,银川750021 [2]宁夏大学化学化工学院,银川750021
出 处:《中国粮油学报》2016年第4期128-132,共5页Journal of the Chinese Cereals and Oils Association
基 金:国家自然科学基金(21266023)
摘 要:以玉米秸秆为研究对象,氢氧化钠为解聚剂,通过单因素试验、中心组合设计和响应面法分析,优化碱解聚玉米秸秆的条件。结果表明:碱解聚玉米秸秆的适宜条件为Na OH质量浓度2%,温度80℃,时间4 h。在此基础上,建立了酶解试验的二次多项式数学模型,发现影响碱解聚玉米秸秆酶解葡萄糖产量的大小顺序依次为碱浓度>时间>温度。用响应面法优化的碱解聚玉米秸秆的条件为Na OH质量浓度2.24%、温度81℃、时间4.30 h,并对此解聚条件进行了试验验证,发现葡萄糖的预测产量与试验值有较高的吻合度,说明此条件是碱解聚玉米秸秆的适宜条件。The objective of this study was to optimize the conditions of depolymerization corn stalk with NaOH through single -factor experiment, central composite design, and response surface method. The results obtained from single - factor experiment showed that the optimal conditions for corn stalk depolymerization were NaOH concentration 2%, temperature 80℃, and time 4 h. Based on this result, the quadratic polynomial mathematical model was established and found that the influence factor on glucose yield during enzymolysis of corn stalk after alkali depolymeriza- tion decreased in the order of alkali concentration 〉 time 〉 temperature. The conditions from response surface method for corn stalk depolymerization were NaOH concentration 2.24%, temperature 81℃, and time 4.30 h. Under these conditions, the predicted yield of glucose exhibited a high congruency with the data obtained from experiment, sug- gesting that they are the optimal conditions for corn stalk depolymerization with alkali.
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