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首页> 外文期刊>British Biotechnology Journal >Optimization of Sweet Potato StarchHydrolyzate Production and Its PotentialUtilization as Substrate for Citric AcidProduction
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Optimization of Sweet Potato StarchHydrolyzate Production and Its PotentialUtilization as Substrate for Citric AcidProduction

机译:番薯淀粉水解产物的优化生产及其作为柠檬酸生产底物的潜力

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Aims: The aims of this work was optimization of two-step enzymatic hydrolysis of sweet potato starch using statistical approach and subsequent utilization of the hydrolyzate obtained for citric acid production. Methodology: Box Behnken design was used in this study to generate a total of 17 individual experiments for each step of the hydrolysis (liquefaction and saccharification steps). These were designed to study the effect of temperature, time and pH on the sweet potato starch hydrolyzate (SPSH) concentration. The optimization was carried out using response surface methodology (RSM). The SPSH obtained was used to culture Aspergillus niger for citric acid production.Results: A statistically significant quadratic regression model (P<0.05) was obtained for the liquefaction step. Statistical model predicted the highest sweet potato starch hydrolyzate (SPSH) concentration to be 172.23 g/L at optimal condition of temperature 61.05oC, time 55.02 min and pH 6.5. A statistically significant quadratic regression model was also obtained for the saccharification step. Statistical model predicted the highest SPSH concentration to be 241.92 g/L, established at the optimal condition of temperature 52oC, time 44 min and pH 4.5. The optimal liquefaction and saccharification conditions were validated with the actual SPSH concentration of 172.00 and 241.01g/L, respectively. The maximum citric acid production of 86g/L was achieved on the 8th day of cultivation when the SPSH was used for the cultivation of A. niger. Conclusion: RSM was successfully applied the two-step enzymatic hydrolysis of sweet potato starch. This work showed that the sweet potato starch hydrolyzate could serve as sole carbon source for citric acid production.
机译:目的:这项工作的目的是利用统计方法优化红薯淀粉的两步酶促水解过程,然后利用所获得的水解产物生产柠檬酸。方法:本研究使用Box Behnken设计,针对水解的每个步骤(液化和糖化步骤)总共生成了17个单独的实验。这些旨在研究温度,时间和pH值对甘薯淀粉水解产物(SPSH)浓度的影响。使用响应面方法(RSM)进行了优化。结果表明:液化步骤获得了具有统计学意义的二次回归模型(P <0.05)。统计模型预测,在温度61.05oC,时间55.02 min和pH 6.5的最佳条件下,甘薯淀粉水解物(SPSH)的最高浓度为172.23 g / L。糖化步骤还获得了具有统计学意义的二次回归模型。统计模型预测最高SPSH浓度为241.92 g / L,这是在温度52oC,时间44分钟和pH 4.5的最佳条件下确定的。最佳的液化条件和糖化条件分别以实际SPSH浓度172.00和241.01g / L进行验证。当SPSH用于黑曲霉的培养时,在培养的第8天达到了86g / L的最大柠檬酸产量。结论:RSM成功地应用于红薯淀粉的两步酶促水解。这项工作表明,甘薯淀粉水解产物可作为柠檬酸生产的唯一碳源。

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