Evidence map›Paper›PMID 35884353›Full record

ReviewBiosensors2022

Recent Advancements in Electrochemical Biosensors for Monitoring the Water Quality.

Yun Hui, Zhaoling Huang, Md Eshrat E Alahi, Anindya Nag, Shilun Feng, Subhas Chandra Mukhopadhyay

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 94 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Recent developments in waterborne pathogen detection technologies.Environmental monitoring and assessment · 2025
    Review
  10. Biosensors for the detection of flaviviruses: A review.Synthetic and systems biotechnology · 2025
    Review
  11. Article
  12. Review
  13. Review
  14. Recent Developments and Applications of Microbial Electrochemical Biosensors.Advances in biochemical engineering/biotechnology · 2024
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
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 at 4 institutions in 3 countries.

Yun HuiShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0002-6907-517X
Zhaoling HuangSchool of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
Md Eshrat E AlahiShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.ORCID 0000-0002-2721-5146
Anindya NagFaculty of Electrical and Computer Engineering, Technische Universität Dresden, 01062 Dresden, Germany.ORCID 0000-0002-3760-1470
Shilun FengState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.ORCID 0000-0002-2560-2417
Subhas Chandra MukhopadhyayThe School of Science and Engineering, Macquarie University, Sydney 2109, Australia.ORCID 0000-0002-8600-5907
Chinese Academy of Sciences · CNGuilin University of Electronic Technology · CNMacquarie University · AUTechnische Universität Dresden · DE

Funding

China Postdoctoral Science Foundation No. 2019M663180National Natural Science Foundation of China No.62001460
6 · The paper itself

Abstract

The release of chemicals and microorganisms from various sources, such as industry, agriculture, animal farming, wastewater treatment plants, and flooding, into water systems have caused water pollution in several parts of our world, endangering aquatic ecosystems and individual health. World Health Organization (WHO) has introduced strict standards for the maximum concentration limits for nutrients and chemicals in drinking water, surface water, and groundwater. It is crucial to have rapid, sensitive, and reliable analytical detection systems to monitor the pollution level regularly and meet the standard limit. Electrochemical biosensors are advantageous analytical devices or tools that convert a bio-signal by biorecognition elements into a significant electrical response. Thanks to the micro/nano fabrication techniques, electrochemical biosensors for sensitive, continuous, and real-time detection have attracted increasing attention among researchers and users worldwide. These devices take advantage of easy operation, portability, and rapid response. They can also be miniaturized, have a long-life span and a quick response time, and possess high sensitivity and selectivity and can be considered as portable biosensing assays. They are of special importance due to their great advantages such as affordability, simplicity, portability, and ability to detect at on-site. This review paper is concerned with the basic concepts of electrochemical biosensors and their applications in various water quality monitoring, such as inorganic chemicals, nutrients, microorganisms' pollution, and organic pollutants, especially for developing real-time/online detection systems. The basic concepts of electrochemical biosensors, different surface modification techniques, bio-recognition elements (BRE), detection methods, and specific real-time water quality monitoring applications are reviewed thoroughly in this article.

Indexed as

Biosensing TechniquesEnvironmental PollutantsAnimalsEcosystemElectrochemical TechniquesWater QualityEnvironmental Pollutantsbio-recognition elementbiosensorselectrochemical detectionin-situ monitoringsurface modificationwater quality monitoring

Identifiers

PMID35884353
PMCPMC9313366
OpenAlexW4286493347

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.