Evidence map›Paper›PMID 36293039›Full record

ArticleInternational journal of molecular sciences2022

Sensitive Determination of Trace 4-Nitrophenol in Ambient Environment Using a Glassy Carbon Electrode Modified with Formamide-Converted Nitrogen-Doped Carbon Materials.

Bing Wang, Quanguo He, Guangli Li, Yaohang Long, Gongyou Zhang, Hongmei Liu, Jun Liu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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
1.5field-weighted citation impact, top 18% 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, 16 citations in OpenAlex.

  1. Article
  2. Review
  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

7 authors at 1 institution in 1 country.

Bing WangSchool of Biology and Engineering, Guizhou Medical University, Guiyang 550025, China.
Quanguo HeSchool of Biology and Engineering, Guizhou Medical University, Guiyang 550025, China.
Guangli LiSchool of Biology and Engineering, Guizhou Medical University, Guiyang 550025, China.
Yaohang LongSchool of Biology and Engineering, Guizhou Medical University, Guiyang 550025, China.
Gongyou ZhangSchool of Biology and Engineering, Guizhou Medical University, Guiyang 550025, China.
Hongmei LiuSchool of Biology and Engineering, Guizhou Medical University, Guiyang 550025, China.
Jun LiuSchool of Biology and Engineering, Guizhou Medical University, Guiyang 550025, China.ORCID 0000-0002-4577-5892
Guiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensing trace amounts of 4-nitrophenol (4-NP) as a harmful substance to organisms even in small quantities is of great importance. The present study includes a sensitive and selective electrochemical sensor for detecting 4-NP in natural water samples using formamide-converted nitrogen-carbon materials (shortened to f-NC) as a new material for electrode modification. The structure and morphology of the f-NC were set apart by SEM, TEM, XRD, XPS, FTIR, Raman, and the electrochemical performance of the f-NC were set apart by CV, EIS and CC. We studied the electrochemical behaviour of 4-NP on the glassy carbon electrode modified with f-NC before and after pyrolysis treatment (denoted as f-NC1/GCE and f-NC2/GCE). In 0.2 M of H

Indexed as

CarbonNitrogenElectrochemical TechniquesElectrodesFormamidesNitrophenolsWater4-nitrophenolCarbonFormamidesNitrogenNitrophenolsWater4-nitrophenolformamide-convertednitrogen doped carbon materialvoltammetric detection

Identifiers

PMID36293039
PMCPMC9603515
OpenAlexW4304806852

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.