使用Box-Behnken设计,在未经预处理的针茅草(阿尔法草)生物质上生长的新分离的烟曲霉菌株对木聚糖酶和纤维素酶的生产进行了优化。首先,使用化学方法(强酸和稀酸)表征干燥和磨碎的阿尔法草的多糖。然后研究了底物粒径对木聚糖酶和羧甲基纤维素酶(CMCase)产生的影响。此后,实验采用Box-Behnken设计进行统计计划,以优化初始pH值,栽培温度,水分含量,和以阿尔法为唯一碳源的潜伏期。使用响应面法评估了这些参数对两种酶产生的影响。还进行了方差分析,根据影响因素,用数学方程表示酶的产量。个人的影响,互动,使用具有显着R2和P值的非线性回归方程表示两种酶的生产的平方项。木聚糖酶和CMCase的生产水平分别提高了25%和27%,分别。因此,这项研究首次证明了阿尔法作为原料在没有任何预处理的情况下生产酶的潜力。发现一组参数组合对于在基于阿尔法的固态发酵中由烟曲霉生产木聚糖酶和CMCase是有效的。
Optimization of xylanase and cellulase production by a newly isolated Aspergillus fumigatus strain grown on Stipa tenacissima (
alfa grass) biomass without pretreatment was carried out using a Box-Behnken design. First, the polysaccharides of dried and ground
alfa grass were characterized using chemical methods (strong and diluted acid). The effect of substrate particle size on xylanase and carboxymethylcellulase (CMCase) production by the selected and identified strain was then investigated. Thereafter, experiments were statistically planned with a Box-Behnken design to optimize initial pH, cultivation temperature, moisture content, and incubation period using
alfa as sole carbon source. The effect of these parameters on the two enzyme production was evaluated using the response surface method. Analysis of variance was also carried out, and production of the enzymes was expressed using a mathematical equation depending on the influencing factors. The effects of individual, interaction, and square terms on production of both enzymes were represented using the nonlinear regression equations with significant R2 and P-values. Xylanase and CMCase production levels were enhanced by 25% and 27%, respectively. Thus, this study demonstrated for the first time the potential of
alfa as a raw material to produce enzymes without any pretreatment. A set of parameter combinations was found to be effective for the production of xylanase and CMCase by A. fumigatus in an
alfa-based solid-state fermentation.