Response surface methodology (RSM) was used to optimize the production of tannase by a newly isolate of Aspergillus niger Van Tieghem using rotatable central composite design (RCCD). This statistical optimization process was carried out involving four of quantitative growth parameters (variables), namely tannic acid concentration, nitrogen source concentration, initial pH of the medium and inoculum size. A mathematical model expressing the production process of tannase by submerged fermentation (SmF) technique was generated statistically in the form of a second order polynomial equation. The model indicated the presence of significant linear, quadratic and interaction effects of the studied variables on tannase production by the fungal isolate. The results showed maximum tannase production (580 U/50 ml medium) at 2% tannic acid, 4 g/l sodium nitrate, pH 4 and inoculum size of 5×107 spores/50 ml medium, which was also verified by experimental data.
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机译：响应面方法（RSM）用于通过可旋转中央复合设计（RCCD）通过新分离的黑曲霉Van Tieghem来优化鞣酸酶的生产。进行此统计优化过程，涉及四个定量生长参数（变量），即鞣酸浓度，氮源浓度，培养基的初始pH和接种量。以二阶多项式方程的形式统计地生成了数学模型，该模型表达了通过浸没发酵（SmF）技术生产鞣酸酶的过程。该模型表明存在研究的变量对真菌分离物鞣酸酶产生显着的线性，二次和相互作用的影响。结果表明，在2％的鞣酸，4 g / l的硝酸钠，pH 4和5×107孢子/ 50 ml培养基的接种量下，最大鞣酸酶产量（580 U / 50 ml培养基）也得到了实验数据的验证。
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