Development of a sediment microbial fuel cell-based biosensor for simultaneous online monitoring of dissolved oxygen concentrations along various depths in lake water
Development of a sediment microbial fuel cell-based biosensor for simultaneous online monitoring of dissolved oxygen concentrations along various depths in lake water
复制标题
开发基于沉积物微生物燃料电池的生物传感器，用于同时在线监测湖水中不同深度的溶解氧浓度
DOI：
10.1016/j.scitotenv.2019.04.032
复制
发表时间：
2019
影响因子：
9.8
通讯作者：
Helong Jiang
中科院分区：
文献类型：
--
作者：
Na Song;Zaisheng Yan;Huacheng Xu;Zongbao Yao;Changhui Wang;Mo Chen;Zhi-Wei Zhao;Zhaoliang Peng;Chunliu Wang;Helong Jiang
开发了一种新型多阴极、单阳极系统，集成了基于沉积物微生物燃料电池的生物传感器，用于原位、连续、在线监测湖水不同深度的溶解氧 (DO) 浓度。根据相应深度的电压与溶解氧浓度之间的关系来评估信号反馈机制。当外部电阻为1000 Ω时，在0–9 mg L -1 范围内，电压和DO之间存在线性关系（回归系数，R 2 = 0.9576）。传感器性能在各种影响因素下进一步优化。室内实验结果表明，最佳阳极与单阴极面积比为11：1。传感器信号也可能受到沉积物中有机物含量的显着影响；因此，添加5%的有机物可以获得稳定的阳极电位和高电压输出。此外，该传感器在湖泊环境中原位运行了67天，这也使得电压和DO之间具有良好的相关性（R 2 = 0.8897）。因此，这个综合系统作为早期预警程序具有巨大的潜力，可以帮助识别水生环境中的环境风险。 • 开发了一种新型沉积物微生物燃料电池生物传感器。 • 传感器可在线监测湖水不同深度的DO。 • 最佳阳极与单阴极面积比为11:1。 • 沉积物中的有机物含量影响传感器的运行性能。 • 该传感器可用作浅湖的早期警报程序。
A novel multi-cathode, single-anode system integrating a sediment microbial fuel cell -based biosensor was developed for in-situ , continuous, and online monitoring of dissolved oxygen (DO) concentrations along various depths of lake water. The signal feedback mechanism was evaluated based on a relationship between voltage and DO concentration at corresponding depths. With an external resistance of 1000 Ω, a linear relationship was found (regression coefficient, R 2 = 0.9576) between voltage and DO in the range of 0–9 mg L −1 . The sensor performance was further optimized under various influence factors. The results of indoor experiments indicated that the optimal anode to single cathode area ratio was 11:1. The sensor signal could also be significantly influenced by organic matter content in sediment; thus, the addition of 5% organic matter could obtain a stable anode potential and a high voltage output. Furthermore, the sensor was operated in-situ for 67 days in a lake environment, which also led to a good correlation between the voltage and DO ( R 2 = 0.8897). Thus, this integrated system has great potential as an early-warning program to help identify environmental risks in aquatic environments. • A novel sediment microbial fuel cell-based biosensor was developed. • The sensor could online monitor the DO in different depths of lake water. • The optimal anode to single cathode area ratio was 11:1. • Organic matter contents in sediment affect the sensor operation performance. • The sensor could be used as an early-alert program in a shallow lake.