Evidence map›Paper›PMID 39175673›Full record

ArticleRSC advances2024

Facile synthesis of N-doped graphene quantum dots as a fluorescent sensor for Cr(vi) and folic acid detection.

Chu-Sen Ni, Wen-Jie Zhang, Wen-Zhu Bi, Ming-Xia Wu, Su-Xiang Feng, Xiao-Lan Chen, Ling-Bo Qu

Abstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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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.

Chu-Sen NiSchool of Pharmacy, Henan University of Chinese Medicine Zhengzhou 450046 China mxwu711@163.com.
Wen-Jie ZhangSchool of Pharmacy, Henan University of Chinese Medicine Zhengzhou 450046 China mxwu711@163.com.
Wen-Zhu BiSchool of Pharmacy, Henan University of Chinese Medicine Zhengzhou 450046 China mxwu711@163.com.ORCID https://orcid.org/0000-0002-6441-5964
Ming-Xia WuSchool of Pharmacy, Henan University of Chinese Medicine Zhengzhou 450046 China mxwu711@163.com.
Su-Xiang FengHenan Engineering Research Center of Modern Chinese Medicine Research, Development and Application Zhengzhou 450046 China.
Xiao-Lan ChenCollege of Chemistry, Zhengzhou University Zhengzhou 450001 China.ORCID https://orcid.org/0000-0002-3061-8456
Ling-Bo QuCollege of Chemistry, Zhengzhou University Zhengzhou 450001 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of stable fluorescent sensors for toxic pollutants and drugs is meaningful to the environment and public health. In this work, nitrogen-doped graphene quantum dots (N-GQDs) were facially synthesized by a one-step hydrothermal method using soluble starch and l-arginine as carbon and nitrogen sources in pure water at 190 °C for 4 h. The as-synthesized N-GQDs were well characterized and displayed blue fluorescence emission at 445 nm with excellent pH stability, salt tolerance, thermostability, photobleaching resistance and reproducibility. Moreover, N-GQDs could serve as an "on-off" sensor for selective detection of Cr(vi) and folic acid with low detection limit (0.80 and 2.1 μM), good linear correlation over wide linear range (0-50 μM and 0-200 μM) as well as short response time (<10 s). The practical applications of N-GQDs for Cr(vi) and folic acid detection in actual samples were further investigated and showed acceptable recoveries (92-105%) with relative standard deviations less than 5%. These results indicated that this N-GQDs-based sensor could be a potential alternative for Cr(vi) and folic acid detection in the fields of environmental monitoring and drug analysis.

Identifiers

PMID39175673
PMCPMC11340008

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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.