Evidence map›Paper›PMID 39220594›Full record

ReviewOpen life sciences2024

Bioelectrochemical biosensors for water quality assessment and wastewater monitoring.

Anagha Bindu, Sudipa Bhadra, Soubhagya Nayak, Rizwan Khan, Ashish A Prabhu, Surajbhan Sevda

Abstract readReview
In one paragraph

Review in Open life sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. 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.

Anagha BinduDepartment of Biotechnology, National Institute of Technology Warangal, Warangal 506004, Telangana, India.
Sudipa BhadraDepartment of Biotechnology, National Institute of Technology Warangal, Warangal 506004, Telangana, India.
Soubhagya NayakDepartment of Biotechnology, National Institute of Technology Warangal, Warangal 506004, Telangana, India.
Rizwan KhanDepartment of Biotechnology, National Institute of Technology Warangal, Warangal 506004, Telangana, India.
Ashish A PrabhuDepartment of Biotechnology, National Institute of Technology Warangal, Warangal 506004, Telangana, India.
Surajbhan SevdaDepartment of Biotechnology, National Institute of Technology Warangal, Warangal 506004, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectrochemical biosensors offer a promising approach for real-time monitoring of industrial bioprocesses. Many bioelectrochemical biosensors do not require additional labelling reagents for target molecules. This simplifies the monitoring process, reduces costs, and minimizes potential contamination risks. Advancements in materials science and microfabrication technologies are paving the way for smaller, more portable bioelectrochemical biosensors. This opens doors for integration into existing bioprocessing equipment and facilitates on-site, real-time monitoring capabilities. Biosensors can be designed to detect specific heavy metals such as lead, mercury, or chromium in wastewater. Early detection allows for the implementation of appropriate removal techniques before they reach the environment. Despite these challenges, bioelectrochemical biosensors offer a significant leap forward in wastewater monitoring. As research continues to improve their robustness, selectivity, and cost-effectiveness, they have the potential to become a cornerstone of efficient and sustainable wastewater treatment practices.

Indexed as

bioelectrochemical biosensorsbiosensor designorganic pollutant detectionpollutant detectionwastewater monitoring

Identifiers

PMID39220594
PMCPMC11365470

What Socratic 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 Socratic graph.