Evidence map›Paper›PMID 28956857›Full record

ReviewSensors (Basel, Switzerland)2017

Microbial Fuels Cell-Based Biosensor for Toxicity Detection: A Review.

Tuoyu Zhou, Huawen Han, Pu Liu, Jian Xiong, Fake Tian, Xiangkai Li

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Microbial Fuel Cell-Based Biosensors and Applications.Applied biochemistry and biotechnology · 2023
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tuoyu ZhouMinistry of Education, Key Laboratory of Cell Activities and Stress Adaptations, School of Life Science, Lanzhou University, Tianshui South Road #222, Lanzhou 730000, China. zhouty2016@lzu.edu.cn.
Huawen HanMinistry of Education, Key Laboratory of Cell Activities and Stress Adaptations, School of Life Science, Lanzhou University, Tianshui South Road #222, Lanzhou 730000, China. hanhw13@lzu.edu.cn.
Pu LiuDepartment of Development Biology Sciences, School of Life Science, Lanzhou University, Tianshui South Road #222, Lanzhou 730000, China. liupu@lzu.edu.cn.
Jian XiongWuhan Optics Valley Bluefire New Energy Co., Ltd., Three Hubei Road, Wuhan East Lake Development Zone #29, Wuhan 430205, China. xiongjianly@163.com.
Fake TianWuhan Optics Valley Bluefire New Energy Co., Ltd., Three Hubei Road, Wuhan East Lake Development Zone #29, Wuhan 430205, China. tianfakely@163.com.
Xiangkai LiMinistry of Education, Key Laboratory of Cell Activities and Stress Adaptations, School of Life Science, Lanzhou University, Tianshui South Road #222, Lanzhou 730000, China. xkli@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the unprecedented deterioration of environmental quality, rapid recognition of toxic compounds is paramount for performing in situ real-time monitoring. Although several analytical techniques based on electrochemistry or biosensors have been developed for the detection of toxic compounds, most of them are time-consuming, inaccurate, or cumbersome for practical applications. More recently, microbial fuel cell (MFC)-based biosensors have drawn increasing interest due to their sustainability and cost-effectiveness, with applications ranging from the monitoring of anaerobic digestion process parameters (VFA) to water quality detection (e.g., COD, BOD). When a MFC runs under correct conditions, the voltage generated is correlated with the amount of a given substrate. Based on this linear relationship, several studies have demonstrated that MFC-based biosensors could detect heavy metals such as copper, chromium, or zinc, as well as organic compounds, including

Indexed as

Bioelectric Energy SourcesBiosensing TechniquesMetals, HeavyNitrophenolsMetals, HeavyNitrophenolsapplicationbiosensorsenvironmental monitoringMFCtoxicity detection

Identifiers

PMID28956857
PMCPMC5677232

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.