Evidence map›Paper›PMID 37882934›Full record

ArticleJournal of fluorescence2024

The Green Synthesis of Carbon Quantum Dots through One-step Hydrothermal Approach by Orange Juice for Rapid, and Accurate Detection of Dopamine.

Arsalan Gholipour, Shahrzad Rahmani

Abstract read
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Article in Journal of fluorescence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
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  4. MnOJournal of fluorescence · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Ultrasensitive optical detection of FeScientific reports · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Preparation, characterization, and protective effects ofFrontiers in cellular and infection microbiology · 2024
    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

2 authors.

Arsalan GholipourNanotechnology Research Institute, School of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran.
Shahrzad RahmaniSchool of Mechanical and Materials Engineering, Washington State university, Pullman, WA, USA. shahrzad.rahmani@wsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current study, the fluorescent Carbon quantum dots (CDs) were synthesized through one-step hydrothermal approach by orange juice without any additional agents. The as-prepared green-CDs (GCDs) were quasi-spherical shape ranged from 2 to 8 nm with an average diameter of 5 nm, and emitted bright blue fluorescent (FL) under ultraviolet light irradiation (Uv). Different detailed analyses proved that the as-prepared GCDs had good morphologies, various functional groups, high water solubility, great optical features, and excellent stability towards diverse environmental conditions. The results indicated that the as-prepared GCDs can detect different concentrations of dopamine from 1 to 100 µM based on the quenching of their native fluorescent. Furthermore, the good linear relationship was obtained for dopamine in the broad range of concentrations from 1 to 100 µM with the limit of detection (LOD) of 0.81 µM. In addition, the as-prepared GCDs can be applied as a fluorescent probe for detection of dopamine in the different real samples.

Indexed as

CarbonCitrus sinensisDopamineFruit and Vegetable JuicesGreen Chemistry TechnologyQuantum DotsFluorescent DyesLimit of DetectionSpectrometry, FluorescenceTemperatureCarbonDopamineFluorescent DyesCarbon Quantum dotsDopamineFluorescent ProbeMicrowave Irradiation

Identifiers

What OpenQuestion holds

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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.