In order to achieve high yield of fungal protease in a very cost effective way and to meet its increased market demand, current study deals with the screening of various agro-wastes as carbon source for the production of protease from Rhizopus oryzae (SN5)/NCIM-1447 under solid state fermentation. Substrates and culture parameters such as wheat bran, soybean meal, black-gram husk, rice husk, mixture of wheat bran, soybean meal, nitrogen sources, pH, temperature and incubation time were first optimized with one factor at time strategy and then EVOP factorial and yield of alkaline protease was achieved 412.8 U/gds at 28 °C and pH = 6 after 72 h of fermentation taking wheat bran and soybean as a substrate in 4:1 ratio. Further artificial neural networks (ANN), was trained with data of EVOP and yield of protease was enhanced up to 422.6 U/gds with wheat bran: soyabean in ratio of 70:30, pH 6.2 at 30 °C. The evolved process and Rhizopus oryzae (SN5)/NCIM-1447 strain would be promising for protease production at industrial scale at low cost.

为了以极具成本效益的方式获得高产量的真菌蛋白酶并满足其日益增长的市场需求，当前的研究涉及筛选各种农业废弃物作为从米根霉（SN5）生产蛋白酶的碳源。）/ NCIM-1447固态发酵。首先使用一个时间策略因素，然后使用EVOP因子对诸如麦麸，豆粕，黑豆皮，稻壳，麦麸混合物，豆粕，氮源，pH，温度和孵育时间等底物和培养参数进行优化。在以麦麸和大豆为底物以4：1的比例发酵72 h后，在28°C和pH = 6的条件下，碱性蛋白酶的产量达到412.8 U / gds。使用EVOP数据对其他人工神经网络（ANN）进行了训练，在30°C下，麦麸：大豆的比例为70：30，pH值为6.2，蛋白酶的产量提高到422.6 U / gds。进化过程与米根霉（SN5））/ NCIM-1447菌株有望以低成本工业化生产蛋白酶。