基于微生物库仑量抑制率的水体重金属污染监测方法

Monitoring method of heavy metal pollution in water based on inhibition ratio of microbial coulomb

为实现对水环境重金属污染的实时原位监测,利用单室微生物燃料电池(microbial fuel cell,MFC)传感器搭建了单程连续流装置,并对其预警稳定性进行了探讨。结果表明:以Cr(Ⅵ)作为目标污染物,MFC传感器的检出限为0.4 mg·L^(-1),在0.2~1 mg·L^(-1)的质量浓度区间内,库仑量抑制率与Cr(Ⅵ)质量浓度具有较高的共变趋势;设定模拟废水中Cr(Ⅵ)的质量浓度为1 mg·L^(-1),MFC传感器对乙酸钠质量浓度分别为384.62、480.77和576.92 mg·L^(-1)的模拟废水预警的库仑量抑制率为34.71%±1.65%、36.60%±3.82%和36.28%±10.64%;对分别含有谷氨酸、乳酸和蔗糖(质量浓度均为50 mg·L^(-1))的模拟废水预警的库仑量抑制率为35.22%±6.51%、37.05%±3.74%和24.23%±1.90%,这说明MFC传感器对水样中的可生化降解有机物具有一定的抗干扰能力;MFC传感器连续3次对含有1 mg·L^(-1)Cr(Ⅵ)模拟废水预警的库仑量抑制率为35.37%±3.21%、39.48%±0.95%和41.50%±4.24%,证明MFC传感器的预警信号重现性较好。以上研究结果可为MFC传感器实时原位监测水体重金属污染提供技术参考。

In order to realize the real-time in-situ monitoring of heavy metal pollution in the water environment,a single-chamber microbial fuel cell(MFC)sensor was used to build a single-pass continuous flow device,and its early warning stability was discussed.The results showed that with Cr(VI)as the target pollutant,the detection limit of the MFC sensor was 0.4 mg·L^(−1),the coulomb inhibition ratio had a high linear correlation with the mass concentration of Cr(Ⅵ)in the range of 0.2~1 mg·L^(−1).In addition,the mass concentration of Cr(Ⅵ)in the simulated wastewater was set as 1 mg·L^(−1),and the coulombic inhibition rates of MFC sensors for the simulated wastewater with the sodium acetate mass concentrations of 384.62,480.77 and 576.92 mg·L^(−1) were 34.71%±1.65%,36.60%±3.82%and 36.28%±10.64%,respectively.The coulombic inhibition rates for the simulated wastewater samples containing glutamic acid,lactic acid and sucrose(all concentrations were 50 mg·L^(−1))were 35.22%±6.51%,37.05%±3.74%and 24.23%±1.90%,respectively,this results showed that the MFC sensor had a certain anti-interference ability to biodegradable organic matter(BOM)in water samples.Finally,for the early warning of simulated wastewater containing 1 mg·L^(−1) Cr(Ⅵ),the coulombic inhibition rates of MFC sensors were 35.37%±3.21%,39.48%±0.95%and 41.50%±4.24%for three consecutive times,respectively,this results showed that the early warning signal of the MFC sensor had good reproducibility.The above research provides a technical reference for the real-time in-situ monitoring of heavy metal pollution in water by MFC sensors.