Evidence map›Paper›PMID 39911752›Full record

ReviewFood chemistry: X2025

Advancements in electrochemical sensingTechnology for Heavy Metal Ions Detection.

Yu Tian, Jinli Liu, Jiali Qiao, Fuguo Ge, Yukun Yang, Qi Zhang

Abstract readReview
In one paragraph

Review in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Biosynthesized ZnO/CoACS omega · 2025
    Article
  11. Nanotechnology and Agricultural Sustainability: A Review.Nanomaterials (Basel, Switzerland) · 2025
    Review
  12. Article
  13. MoSNanomaterials (Basel, Switzerland) · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. 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.

Yu TianShanxi Kunming Tobacco Co., Ltd., Taiyuan 030012, China.
Jinli LiuSchool of Life Science, Shanxi University, Taiyuan 030006, China.
Jiali QiaoSchool of Life Science, Shanxi University, Taiyuan 030006, China.
Fuguo GeSchool of Life Science, Shanxi University, Taiyuan 030006, China.
Yukun YangSchool of Life Science, Shanxi University, Taiyuan 030006, China.
Qi ZhangShanxi Kunming Tobacco Co., Ltd., Taiyuan 030012, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most heavy metal ions are carcinogenic and non-biodegradable, posing threats to ecological balance and human health in trace amount. Therefore, there is a pressing demand for rapid and dependable detection technologies. Electrochemical sensing technology distinguishes itself with its ease of use and swiftness, rendering it perfect for the expeditious detection of heavy metal elements. This review examines various electrochemical detection techniques for on-site real-time monitoring of heavy metal ions. Advanced methods using innovative electrochemical sensor technologies are explored, highlighting the importance of sensing strategies for the quick and easy monitoring of metal levels in different environments. Additionally, the role of nanotechnology and electrochemical techniques in enhancing the sensitivity and selectivity of sensors for better detection of heavy metals is discussed. Finally, the future direction of sensor development is addressed, focusing on integrating new materials and technologies to improve the performance of sensor in environmental monitoring, food safety and public health.

Indexed as

Electrochemical sensing detectionHeavy metal ionsNanomaterialSensing strategy

Identifiers

PMID39911752
PMCPMC11795542

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.