Abstract

Lignocellulose is a inexhaustible global resource for the production of a wide range of products of biotechnological synthesis. Improving the efficiency of extracting glucose from lignocellulose would allow us to increase the yield of these products and thus lower their prime cost. The aim of this work is to optimize the composition of a multienzyme compound (MEC) made using CelloLux-A, Ultraflo Core, and BrewZyme BGX commercial enzyme preparations (EPs) for the efficient enzymatic hydrolysis of an oat hull substrate treated with 4 wt % nitric acid under conditions of trial industrial production. The optimum ratio of the EPs, 1/4 : 3/4 : 0 (18 mg/g substrate CelloLux-A, 55 mg/g substrate Ultraflo Core), is found via mathematical processing of experimental data obtained using the simplex–centroid design of the experiments. The optimized composition of MEC allows the yield of the reducing substances (RSes) to be increased by 195%. The kinetics of hydrolysis at different concentrations of MEC is studied using an equation from an experimental statistical model. It is established that a 13% increase in (a) the yield of RSes from the mass of the substrate, and (b) the yield of glucose from the mass of the cellulose in the substrate, is observed when the concertation of MEC is raised 300%. The hydrolyzate obtained using the optimum MEC serves as a nutrient medium for the biosynthesis of a valuable biotechnological product, bacterial nanocellulose, the yield of which is 6.1% of the hydrolyzate glucose.

中文翻译：

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从木质纤维素制备营养培养基：优化多酶化合物的组成

摘要

木质纤维素是用于生产多种生物技术合成产品的取之不尽的全球资源。提高从木质纤维素提取葡萄糖的效率将使我们能够提高这些产品的产量，从而降低其主要成本。这项工作的目的是优化使用CelloLux-A，Ultraflo Core和BrewZyme BGX商业酶制剂（EPs）制得的多酶化合物（MEC）的组成，以有效地酶解经4 wt％处理的燕麦壳底物硝酸在工业化试生产的条件下。EP的最佳比例为1/4：3/4：0（18 mg / g底物CelloLux-A，55 mg / g底物Ultraflo Core），是通过对使用单形质心设计获得的实验数据进行数学处理而得出的实验。MEC的优化组成使还原性物质（RSes）的产率提高了195％。使用来自实验统计模型的方程式研究了在不同浓度的MEC上的水解动力学。已经确定，当提高MEC的协同作用时，观察到（a）来自底物质量的RSes产率和（b）来自底物纤维素质量的葡萄糖产率增加13％。 300％。使用最佳MEC获得的水解产物可作为营养培养基，用于生物合成有价值的生物技术产品细菌纳米纤维素，其收率为水解产物葡萄糖的6.1％。使用来自实验统计模型的方程式研究了在不同浓度的MEC上的水解动力学。已经确定，当提高MEC的协同作用时，观察到（a）来自底物质量的RSes产率和（b）来自底物纤维素质量的葡萄糖产率增加13％。 300％。使用最佳MEC获得的水解产物可作为营养培养基，用于生物合成有价值的生物技术产品细菌纳米纤维素，其收率为水解产物葡萄糖的6.1％。使用来自实验统计模型的方程式研究了在不同浓度的MEC上的水解动力学。已经确定，当提高MEC的协同作用时，观察到（a）来自底物质量的RSes产率和（b）来自底物纤维素质量的葡萄糖产率增加13％。 300％。使用最佳MEC获得的水解产物可作为营养培养基，用于生物合成有价值的生物技术产品细菌纳米纤维素，其收率为水解产物葡萄糖的6.1％。