ReviewRSC advances2021
Microbial fuel cells for in-field water quality monitoring.
Review in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- Recent Implementations of Hydrogel-Based Microbial Electrochemical Technologies (METs) in Sensing Applications.Sensors (Basel, Switzerland) · 2023Pooled it
- Integrating electroactive microorganisms into active soil management strategies.Frontiers in microbiology · 2026Review
- The role ofSustainable microbiology · 2026Review
- Electrifying the UNSDGs with microbial power.Emerging topics in life sciences · 2025Review
- Integrated Real-Time CMOS Luminescence Sensing and Impedance Spectroscopy in Droplet Microfluidics.IEEE transactions on biomedical circuits and systems · 2024Article
- Microbial Fuel Cells as Effective Tools for Energy Recovery and Antibiotic Detection in Water and Food.Micromachines · 2023Article
- Selective Sensing in Microbial Fuel Cell Biosensors: Insights from Toxicity-Adapted and Non-Adapted Biofilms for Pb(II) and Neomycin Sulfate Detection.Micromachines · 2023Article
- Microbial Fuel Cell Biosensor with Capillary Carbon Source Delivery for Real-Time Toxicity Detection.Sensors (Basel, Switzerland) · 2023Article
- Biological and technical challenges for implementation of yeast-based biosensors.Microbial biotechnology · 2023Review
- Determining the Dose-Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring.Micromachines · 2022Article
- Review
- Microbial Electrochemical Technologies for Sustainable Nitrogen Removal in Marine and Coastal Environments.International journal of environmental research and public health · 2022Review
- Rainwater-driven microbial fuel cells for power generation in remote areas.Royal Society open science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The need for water security pushes for the development of sensing technologies that allow online and real-time assessments and are capable of autonomous and stable long-term operation in the field. In this context, Microbial Fuel Cell (MFC) based biosensors have shown great potential due to cost-effectiveness, simplicity of operation, robustness and the possibility of self-powered applications. This review focuses on the progress of the technology in real scenarios and in-field applications and discusses the technological bottlenecks that must be overcome for its success. An overview of the most relevant findings and challenges of MFC sensors for practical implementation is provided. First, performance indicators for in-field applications, which may diverge from lab-based only studies, are defined. Progress on MFC designs for off-grid monitoring of water quality is then presented with a focus on solutions that enhance robustness and long-term stability. Finally, calibration methods and detection algorithms for applications in real scenarios are discussed.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.