Evidence map›Paper›PMID 38421536›Full record

ReviewDiscover nano2024

Nanomaterial-based optical colorimetric sensors for rapid monitoring of inorganic arsenic species: a review.

Kalayou Hiluf Gebremedhin, Mebrahtu Hagos Kahsay, Nigus Kebede Wegahita, Tesfamariam Teklu, Berihu Abadi Berhe, Asfaw Gebretsadik Gebru, Amanuel Hadera Tesfay, Abraha Geberekidan Asgedom

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Discover nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

8 authors.

Kalayou Hiluf GebremedhinDepartment of Chemistry, College of Natural and Computational Science, Mekelle University, Mekelle, Tigray, Ethiopia. kalayouh2017@gmail.com.
Mebrahtu Hagos KahsayDepartment of Chemistry, College of Natural and Computational Science, Mekelle University, Mekelle, Tigray, Ethiopia.
Nigus Kebede WegahitaDepartment of Environmental Science, School of Environmental Science and Engineering, Tianjin University, Tianjin, China.
Tesfamariam TekluDepartment of Chemistry, College of Natural and Computational Science, Mekelle University, Mekelle, Tigray, Ethiopia.
Berihu Abadi BerheSchool of Earth Science, College of Natural and Computational Science, Mekelle University, Mekelle, Tigray, Ethiopia.
Asfaw Gebretsadik GebruDepartment of Chemistry, College of Natural and Computational Science, Mekelle University, Mekelle, Tigray, Ethiopia.
Amanuel Hadera TesfayDepartment of Chemistry, College of Natural and Computational Science, Mekelle University, Mekelle, Tigray, Ethiopia.
Abraha Geberekidan AsgedomDepartment of Chemistry, College of Natural and Computational Science, Mekelle University, Mekelle, Tigray, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health concerns about the toxicity of arsenic compounds have therefore encouraged the development of new analytical tools for quick monitoring of arsenic in real samples with improved sensitivity, selectivity, and reliability. An overview of advanced optical colorimetric sensor techniques for real-time monitoring of inorganic arsenic species in the environment is given in this review paper. Herein, several advanced optical colorimetric sensor techniques for arsenite (As

Indexed as

Arsenic compoundColorimetric sensorNanomaterialOn-site monitoringToxic metalloid

Identifiers

PMID38421536
PMCPMC10904709

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.