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Multiple Parameter Optimization for Maximization of Pectinase Production by Rhizopus sp. C4 under Solid State Fermentation

机译:多参数优化可最大化根霉菌种产生果胶酶的能力。固态发酵下的C4

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A novel strain Rhizopus sp. C4 was isolated from compost for the production of pectinase. Cultivation of Rhizopus sp. C4 on orange peel substrate under various solid-state fermentation (SSF) conditions was evaluated for pectinase yield along with the enzyme activity profile as a potential, low-cost alternative to submerged-liquid fermentation. Response surface methodology (RSM) was employed to optimize various environmental parameters for pectinase production. Various parameters, namely temperature, moisture and incubation days, were studied statistically for a total of 20 runs using central composite design. The highest yield of the enzyme, i.e. , 11.63 IU/mL, was obtained from 1:3.5 moisture ratios in 7 days at 30°C. The study demonstrated that optimization through RSM could improve the enzymatic characteristics and yield of the enzyme.
机译:一种新型菌株根霉。从堆肥中分离出C4以产生果胶酶。根霉的栽培对果皮酶在各种固态发酵(SSF)条件下在果皮基质上的C4进行了果胶酶产量以及酶活性谱评估,以此作为淹没液体发酵的潜在低成本替代品。响应面方法(RSM)用于优化果胶酶生产的各种环境参数。使用中央复合设计对总共20次运行的各种参数(即温度,湿度和孵育天数)进行了统计研究。该酶的最高产量,即11.63 IU / mL,是在30℃下从7天的1:3.5水分比获得的。研究表明,通过RSM进行优化可以改善酶的酶学特性和产率。

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