Evidence map›Paper›PMID 37372489›Full record

ArticleFoods (Basel, Switzerland)2023

Electrochemical Sensor Based on Laser-Induced Graphene for Carbendazim Detection in Water.

Li Wang, Mengyue Li, Bo Li, Min Wang, Hua Zhao, Fengnian Zhao

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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 1 institution in 1 country.

Li WangCollege of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China.
Mengyue LiCollege of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China.
Bo LiCollege of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China.
Min WangCollege of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China.
Hua ZhaoCollege of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China.
Fengnian ZhaoCollege of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China.ORCID 0000-0003-2304-7293
Beijing Technology and Business University · CN

Funding

National Natural Science Foundation of China 32202160Research Foundation for Youth Scholars of Beijing Technology and Business University QNJJ2022-27
6 · The paper itself

Abstract

Carbendazim (CBZ) abuse can lead to pesticide residues, which may threaten the environment and human health. In this paper, a portable three-electrode sensor based on laser-induced graphene (LIG) was proposed for the electrochemical detection of CBZ. Compared with the traditional preparation method of graphene, LIG is prepared by exposing the polyimide film to a laser, which is easily produced and patterned. To enhance the sensitivity, platinum nanoparticles (PtNPs) were electrodeposited on the surface of LIG. Under optimal conditions, our prepared sensor (LIG/Pt) has a good linear relationship with CBZ concentration in the range of 1-40 μM, with a low detection limit of 0.67 μM. Further, the sensor shows good recovery rates for the detection of CBZ in wastewater, which provides a fast and reliable method for real-time analysis of CBZ residues in water samples.

Indexed as

carbendazimelectrochemical detectionlaser-induced grapheneplatinum nanoparticleswater sample

Identifiers

PMID37372489
PMCPMC10297698
OpenAlexW4379518097

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.