Evidence map›Paper›PMID 38911761›Full record

ReviewACS omega2024

Electrochemical Sensors for Heavy Metal Ion Detection in Aqueous Medium: A Systematic Review.

S Fouziya Sulthana, U Mohammed Iqbal, Sreeja Balakrishnapillai Suseela, Rajesh Anbazhagan, Ravikumar Chinthaginjala, Dhanamjayulu Chitathuru, Irfan Ahmad, Tai-Hoon Kim

Abstract readReview
In one paragraph

Review in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
  2. Article
  3. ZIF-8-based chemiresistive CORSC advances · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Recent advances in g-CRSC advances · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  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

8 authors.

S Fouziya SulthanaDepartment of Mechatronics Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India.
U Mohammed IqbalDepartment of Mechanical Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India.
Sreeja Balakrishnapillai SuseelaDepartment of Electronics and Communication Engineering, Centre for Medical Electronics, College of Engineering, Anna University, Chennai, Tamil Nadu 600025, India.
Rajesh AnbazhaganSchool of Electrical and Electronics Engineering, SASTRA University, Thanjavur 613401, India.
Ravikumar ChinthaginjalaSchool of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-4630-4072
Dhanamjayulu ChitathuruSchool of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.
Irfan AhmadDepartment of Clinical Laboratory Sciences, College of Applied Medical Science, King Khalid University, Abha 61421, Saudi Arabia.
Tai-Hoon KimSchool of Electrical and Computer Engineering Yeosu Campus, Chonnam National University, 50 Daehak-ro, Yeosu-si, Jeollanam-do 59626, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metal ions (HMIs) are very harmful to the ecosystem when they are present in excess of the recommended limits. They are carcinogenic in nature and can cause serious health issues. So, it is important to detect the metal ions quickly and accurately. The metal ions arsenic (As

Identifiers

PMID38911761
PMCPMC11190924

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.