Titanium mesh as the anode of electrochemically active biofilm sensor for improved sensitivity in water toxicity real-time early-warning

被引:3
|
作者
Liu, Xinning [1 ]
Qi, Xiang [1 ]
Gu, Yuyi [1 ]
Huang, Xia [1 ]
Liang, Peng [1 ]
机构
[1] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Cont, Beijing 100084, Peoples R China
来源
关键词
Titanium mesh; EAB; Biosensor; Sensitivity; Water toxicity early-warning; EXTRACELLULAR POLYMERIC SUBSTANCES; MICROBIAL FUEL-CELLS; SHEWANELLA-ONEIDENSIS; CORROSION BEHAVIOR; ELECTRODES; FUNDAMENTALS; BACTERIA;
D O I
10.1016/j.bios.2023.115692
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
As serious water ecological pollution caused by toxicant leakage occurs frequently, early-warning for toxicity presented in water environment attracts increasing attentions as it saves time to retain water safety and human health. Electrochemically active biofilm (EAB) sensor is a promising device for in situ real-time water toxicity early-warning. To improve the sensitivity of EAB sensor particularly for low-concentration toxicity warning, this study employed titanium mesh (TiM) as the anode to construct an EAB sensor. Compared to traditional EAB sensor with carbon felt (CF) anode, the sensitivity of the TiM sensor was increased up to 37.4 times. The effects of mesh size (TiM50, TiM100, TiM150) and operation mode (flow-by and flow-through) on the sensitivity of TiM sensors were further investigated. Results showed the sensor with TiM100 anode had the highest inhibition rate (IR) in flow-by mode, attributed to low charge transfer resistance (Rct) and fast mass transfer. Flow-through operation could further enhance TiM100 sensor's sensitivity from flow-by operation and succeeded to signal as low as 0.0025% formaldehyde, the lowest so far tested in EAB sensor with sensing anode. Multiple toxicity shocks on flow-through TiM100 sensor revealed its good recoverability towards all tested formaldehyde concentration from 0.01% to 0.0025%, during which electrochemical activity degradation and biomass accumulation partially impaired the repeatability. This work highlights the great improvement of EAB sensors by utilizing titanium mesh as EAB carrier and provides a reference for the practical application of metallic materials for EAB sensors.
引用
收藏
页数:8
相关论文
共 45 条
  • [31] A New Trigger Criterion for Improved Real-Time Performance of Onsite Earthquake Early Warning in Southern California
    Boese, M.
    Hauksson, E.
    Solanki, K.
    Kanamori, H.
    Wu, Y. -M.
    Heaton, T. H.
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2009, 99 (2A) : 897 - 905
  • [32] A data-driven model for real-time water quality prediction and early warning by an integration method
    Tao Jin
    Shaobin Cai
    Dexun Jiang
    Jie Liu
    Environmental Science and Pollution Research, 2019, 26 : 30374 - 30385
  • [33] A data-driven model for real-time water quality prediction and early warning by an integration method
    Jin, Tao
    Cai, Shaobin
    Jiang, Dexun
    Liu, Jie
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (29) : 30374 - 30385
  • [34] Using the near real-time effective reproduction number Rt as an early-warning tool for seasonal bronchiolitis and influenza-like illness epidemics
    Gallien, Yves
    Paireau, Juliette
    Paty, Annie-Claude
    Villegas-Ramirez, Berenice
    Hamidouche, Mohamed
    Modenesi, Gabriela
    Zhu-Soubise, Aurelien
    Bonaldi, Christophe
    Fouillet, Anne
    Vaux, Sophie
    Bernard-Stoecklin, Sibylle
    Tarantola, Arnaud
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2024,
  • [35] REAL-TIME MONITORING AND EARLY WARNING METHOD OF DISASTER PRECURSOR INDUCED BY SERIOUS WATER INRUSH IN UNDERGROUND ENGINEERING
    Li, Liping
    Tu, Wenfeng
    Yuan, Yongcai
    Shi, Shaoshuai
    Chen, Jianxun
    Yan, Wenfa
    Chen, Diyang
    Cheng, Shuai
    Liu, Shang
    OXIDATION COMMUNICATIONS, 2016, 39 (1A): : 1108 - 1118
  • [36] Construction of multi-factor identification model for real-time monitoring and early warning of mine water inrush
    Wang, Xin
    Xu, Zhimin
    Sun, Yajun
    Zheng, Jieming
    Zhang, Chenghang
    Duan, Zhongwen
    INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY, 2021, 31 (05) : 853 - 866
  • [37] Construction of multi-factor identification model for real-time monitoring and early warning of mine water inrush
    Xin Wang
    Zhimin Xu
    Yajun Sun
    Jieming Zheng
    Chenghang Zhang
    Zhongwen Duan
    International Journal of Mining Science and Technology, 2021, 31 (05) : 853 - 866
  • [38] Real-time karst groundwater monitoring and bacterial analysis as early warning strategies for drinking water supply contamination
    Fernandez-Ortega, Jaime
    Barbera, Juan Antonio
    Andreo, Bartolome
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 912
  • [39] Multi-level early-warning system for base-isolated structures based on real-time monitoring data and its application on the Old Hall of Nanjing Museum
    Shi, Sheng
    Du, Dongsheng
    Xu, Jinghai
    Wang, Shuguang
    Jianzhu Jiegou Xuebao/Journal of Building Structures, 2022, 43 (04): : 47 - 57
  • [40] Automated Online Optical Biosensing System for Continuous Real-Time Determination of Microcystin-LR with High Sensitivity and Specificity: Early Warning for Cyanotoxin Risk in Drinking Water Sources
    Shi, Han-Chang
    Song, Bao-Dong
    Long, Feng
    Zhou, Xiao-Hong
    He, Miao
    Lv, Qing
    Yang, Hai-Yang
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2013, 47 (09) : 4434 - 4441