Evidence map›Paper›PMID 39808311›Full record

ArticleMikrochimica acta2025

Construction of an electrochemical sensor for the detection of methyl parathion with three-dimensional graphdiyne-carbon nanotubes.

Yuzhen Xue, Xiuxiu Wang, Baoyun Sun, Longgang Wang, Xihong Guo

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2025. 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. Article
  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

5 authors.

Yuzhen XueCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Xiuxiu WangCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Baoyun SunCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Longgang WangState Key Laboratory of Metastable Materials Science and Technology, Hebei Key Laboratory of Nano-biotechnology, Yanshan University, Qinhuangdao, 066004, China. lgwang@ysu.edu.cn.
Xihong GuoCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China. guoxh@ihep.ac.cn.

Funding

National Key Research and Development Program of China 2022YFA1207400
6 · The paper itself

Abstract

To enhance the application performance of graphdiyne (GDY) in electrochemical sensing, carbon nanotubes (CNTs) were grown in situ to construct three-dimensional nanoarchitectures of GDY-CNTs composites. GDY-CNTs showed superior electrochemical properties and detection response to MP when compared with GDY, as the in situ growth of CNTs significantly increased the electrode surface area and enhanced the electron transfer process. GDY-CNTs were successfully used to construct electrochemical sensors for methyl parathion (MP). The proposed sensor exhibited a wide linear relationship for MP ranging from 0.09 to 64.6 µM with a detection limit of 0.05 µM. Moreover, the sensor also showed good stability and acceptable reproducibility, which provided a feasible method for rapid and accurate detection of MP in real samples. This work provides an effective application of graphdiyne in electrochemical sensing with constructed three-dimensional GDY-CNTs.

Indexed as

Carbon nanotubesDifferential pulse voltammetryElectrochemical sensorGraphdiyneMethyl parathionThree-dimensional nanocomposite

Identifiers

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Registered trials

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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.