中文摘要：

以秸秆水解液为原料发酵制备高光学纯度L-乳酸将有效提升农业废弃物的利用价值。基于发酵过程中存在代谢抑制的现象,通过正交试验与神经网络分析方法,进行秸秆液糖质量浓度优化以及活性炭与大孔树脂对秸秆液抑制的脱除研究,并结合菌株好氧特性进行摇瓶转速的优化。正交试验表明：秸秆糖质量浓度、活性炭添加量、大孔树脂含量及摇瓶转速4个因素对米根霉发酵秸秆糖制备L-乳酸均具有显著影响,在正交试验组中最佳实验结果为L-乳酸产量为82.8g/L。BP神经网络预测秸秆糖质量浓度为126g/L、活性炭添加量为2.48g/L、大孔树脂含量为1.6g/L及500mL摇瓶转速为234r/min时发酵最佳,该条件下验证实验L-乳酸产量为86.9g/L。通过正交试验及神经网络预测分析提高了米根霉发酵秸秆液制备L-乳酸的产量。

英文摘要：

In the present study, wheat straw hydrolysate was fermented in a 500 mL shaking flask to prepare high-optical purity L-lactic acid for effectively elevating the utilization value of the agricultural waste. Considering metabolitic inhibition probably occurring during fermentation, the optimization of wheat straw hydrolysate concentration, amounts of added HN-Y13 type activated carbon and DM11 type macroporous resin as adsorbents to the fermentation inhibitors in wheat straw hydrolysate and shaking speed was carried out using orthogonal array design and back-propagation artificial neural network （BP-ANN）. From the results of orthogonal array experiments, it was found that L-lactic acid production was remarkably influence by all the above four factors and reached up to 82.8 g/L under optimized conditions determined through range analysis. The optimal values of wheat straw hydrolysate concentration, amounts of added HN-Y13 type activated carbon and DM11 type macroporous resin and shaking speed were predicted with BP-ANN to be 126, 2.48 g/L and 1.6 g/L, and 234 r/min, respectively. The yield of L-lactic acid was 86.9 g/L under these conditions, much higher than before optimization.