The process parameters were optimized to obtain enhanced enzyme activity from the fungus Phoma herbarum isolate KU4 using rice straw and saw dust as substrate under solid-state fermentation using Response surface methodology (RSM). Genetic algorithm was used to validate the RSM for maximum laccase production. Six variables, viz., pH of the media, initial moisture content, copper sulphate concentration, concentration of tannic acid, inoculum concentration and incubation time were found to be effective and optimized for enhanced production. Maximum laccase production was achieved by RSM at pH 5·0 and 86% of initial moisture content of the culture medium, 150 µmol l⁻¹ of CuSO₄, 1·5% tannic acid and 0·128 g inoculum g⁻¹ dry substrate inoculum size on the fourth day of fermentation. The highest laccase activity was observed as 79 008 U g⁻¹, which is approximately sixfold enhanced production compared to the unoptimized condition (12 085·26 U g⁻¹).

中文翻译：

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通过遗传算法优化RSM系数在固态发酵下富集Phoma herbarum分离物KU4生产漆酶

优化工艺参数以使用响应面法 (RSM) 在固态发酵下使用稻草和锯末作为底物从真菌Phoma herbarum分离株 KU4 中获得增强的酶活性。遗传算法用于验证 RSM 的最大漆酶产量。发现六个变量，即培养基的 pH 值、初始水分含量、硫酸铜浓度、单宁酸浓度、接种物浓度和孵育时间对提高产量是有效和优化的。通过 RSM 在 pH 5·0 和 86% 的培养基初始含水量、150 µ mol l ^-1 CuSO ₄、1·5% 单宁酸和 0·128 g 接种物 g ^-1下获得最大漆酶产量 发酵第四天的干底物接种量。观察到最高漆酶活性为 79 008 U g ^-1，与未优化的条件（12 085·26 U g ^-1）相比，产量提高了大约六倍。