In the present work, palm wood was pretreated using hydrothermal technique in conjunction with chemical method for removal of lignin. Pretreated palm wood was subjected to hydrolysis using Trichoderma reesei MTCC 4876. Subsequently bioethanol was produced using palm wood hydrolysate by Kluveromyces marxianus MTCC 1389. RSM was used to identify the non-linear relationship and optimize various process parameters such as parameters such as pH, temperature, agitation rate, substrate concentration and inoculum size for bioethanol production. ANN constructed with 5-2-1 topology was also used to optimize process parameters. The experimental bioethanol yield of 22.90 g/l was obtained at ANN optimum conditions of temperature 45 °C, agitation rate 156 rpm, pH 5, substrate concentration 8% (v/v) and inoculum size 3.2% (v/v).

在目前的工作中，使用水热技术结合化学方法对棕榈木材进行了预处理，以去除木质素。使用里氏木霉MTCC 4876对经过预处理的棕榈木进行水解。随后，利用马克斯克鲁维酵母（Kluveromyces marxianus）的棕榈木水解物生产生物乙醇。MTCC1389。RSM用于识别非线性关系并优化各种工艺参数，例如用于生产生物乙醇的pH，温度，搅拌速率，底物浓度和接种量等参数。用5-2-1拓扑构造的人工神经网络也用于优化工艺参数。在温度为45°C，搅拌速度为156 rpm，pH为5，底物浓度为8％（v / v）和接种量为3.2％（v / v）的ANN最佳条件下，获得22.90 g / l的实验生物乙醇收率。