摘要
通过建立反硝化同时甲烷化(SDM)扩展模型,动态模拟ZnO-NPs对酸化菌、产甲烷菌和反硝化菌的抑制作用.结果表明,该模型能较好地用于分析ZnO-NPs对SDM体系的抑制作用,主要表现为底物利用速率的抑制.在ZnO-NPs的抑制效应上产甲烷菌比反硝化菌更敏感.添加50、100、200 mg·L^(-1)的ZnO-NPs使甲烷量分别降为对照的96.2%、79.9%、62.8%,但氮气产量未受影响.结合遗传算法和回归拟合,对生化过程底物利用速率和抑制性常数进行估计,得到:KI,NO_2=0.00007<KI,NO_3=0.042;KI,ZnO,bu=0.094<KI,ZnO,pro=0.10<KI,ZnO,ac=4.45,证实了NO_2^-对产甲烷菌的抑制强于NO_3^-,ZnO-NPs对酸化菌的抑制强于产甲烷菌.
An extended model for simultaneous denitrification and me developed to simulate dynamically the inhibitory effect of ZnO-NPs on methanogens and denitrifying bacteria. The results showed that the above properly the inhibitory effect of ZnO-NPs on the SDM system, mainly utilization rate. The response for methanogens thanogenesis （ SDM ） was acid - producing bacteria, model was able to describe the inhibition of substrate to the inhibition of ZnO-NPs was more sensitive to that of denitrifying bacteria. Methane production with addition of 50, 100 and 200 mg· L^-1 ZnO-NPs decreased to 96.2%, 79.9% and 62.8% of the control, respectively, whereas the nitrogen production was not inhibited notably. The substrate utilization efficiency and inhibitory constants were estimated by the combination of Genetic Algorithm and Regression Fitting and followed the order of K1,No2 = 0.00007 〈 KI,No3 = 0. 042 ; KI,ZnO,bu = 0.094 〈 KI,ZnO,pro = 0. 10 〈 KI,ZnO,ac = 4.45. These results demonstrated that the order of inhibitory effect of N-oxides on methanogens was NO2^- 〉 NO3^-, and ZnO NPs had a stronger inhibitory effect on acid-producing bacteria compared to methanogens.
作者
陈云
石先阳
CHEN Yun SHI Xianyang(School of Resource and Environmental Engineering, Anhui University, Hefei, 230039, Chin)
出处
《环境化学》
CAS
CSCD
北大核心
2016年第12期2599-2605,共7页
Environmental Chemistry
基金
国家自然科学基金(51278001)资助~~
关键词
ZnO-NPs.反硝化同时甲烷化(SDM)
抑制
动态模拟
ZnO-NPs, simultaneous denitrification and methanogenesis （ SDM ）, inhibitory effect,simulation dynamically.
