Laboratory of Mycology, Biotechnology and Microbial Activity, Department of Applied Biology, Faculty of Natural and Life Sciences, University of Brothers Mentouri, Constantine 25017, Algeria.
Drug and Sustainable Development Laboratory, Faculty of Process Engineering, University Salah Boubnider-Constantine 3, Constantine 25000, Algeria.
Mycologia. 2023 Jul-Aug;115(4):437-455. doi: 10.1080/00275514.2023.2205331. Epub 2023 May 22.
Optimization of xylanase and cellulase production by a newly isolated strain grown on (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 and -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 in an alfa-based solid-state fermentation.
用 Box-Behnken 设计对一株新分离的菌株在未经预处理的 （阿尔法草）生物质上生长时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（强酸和弱酸）对干燥和粉碎的阿尔法草中的多糖进行了表征。然后，研究了底物颗粒大小对选定和鉴定的菌株生产木聚糖酶和羧甲基纤维素酶（CMCase）的影响。此后，使用 Box-Behnken 设计进行了实验统计规划，以优化初始 pH 值、培养温度、水分含量和培养期，使用阿尔法作为唯一碳源。使用响应面法评估了这些参数对两种酶生产的影响。还进行了方差分析，并根据影响因素使用数学方程表示酶的生产。使用具有显著 和 -值的非线性回归方程表示了单个、相互作用和平方项对两种酶生产的影响。木聚糖酶和 CMCase 的产量分别提高了 25%和 27%。因此，这项研究首次证明了阿尔法作为一种无需任何预处理即可生产酶的原料的潜力。发现了一组参数组合，可有效用于在基于阿尔法的固态发酵中生产木聚糖酶和 CMCase。
