氧化石墨烯强化厌氧氨氧化菌的脱氮性能

采用氧化石墨烯（GO）增强厌氧氨氧化菌的脱氮性能.通过批次试验观察GO对厌氧氨氧化菌的影响，结果表明：当GO浓度为0.15g/L时，厌氧氨氧化菌脱氮性能最好，总氮去除率比无GO的空白组提高18.6%；当GO剂量达到0.2g/L时，厌氧氨氧化菌活性受到抑制，总氮去除率比空白组降低了26.0%.通过对照实验研究GO对厌氧氨氧化菌脱氮性能的长期影响，结果表明：添加GO的R2反应器在每个基质浓度阶段的平均总氮去除率分别为85.3%，83.2%，81.1%，80.8%，均高于未添加GO的R1反应器.对R2反应器周期内脱氮性能进行动力学分析发现，修正的Boltzmann模型和修正的Gompertz模型比修正的Logistic模型更适合描述GO作用下周期内基质去除特性，并且通过模型得到了周期内任意t时刻下的出水总氮浓度和总氮去除率预测公式.

Improvement of the activity of anammox bacteria using graphene oxide

Graphene oxide (GO) was used to enhance denitrification performance of anammox bacteria. Batch experiments were executed to explore effect of GO on anammox bacteria. The results showed anammox bacteria had the best nitrogen removal performance when the concentration of GO was 0.15g/L, and the total nitrogen removal rate was 18.6% higher than blank group. When GO concentration reached 0.2g/L, anammox bacteria activity was inhibited, and the total nitrogen removal rate was reduced by 26.0% compare with the blank group. A long-term experiment was operated to ident the effect of GO on anammox bacteria by set control group. The results showed the average total nitrogen removal rate of the R2 reactor with GO was 85.3%, 83.2% and 81.1% and 80.8%, respectively, which was higher than the R1reactor without GO. The kinetics characteristics of nitrogen removal in a single cycle of the R2 reactor were evaluated. The modified Boltzmann and Gompertz model were found to be the appropriate models to describe the denitrification performance of the R2 reactor in a single cycle. Moreover, the formula to predict the total nitrogen effluent concentration and removal rate at any time in the cycle was obtained.