Evidence map›Paper›PMID 42178462›Full record

ArticleJournal of fluorescence2026

Preparation of N-Doped Carbonized Polymer Dots with Narrow FWHM Based on Single Source with Self-Alkaline Induced Hydrolysis for Fluorescence Probe.

Yuran Tang, Jieting Wen, Jing Wang, Dingda Xu, Yuan Peng

Abstract read
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Article in Journal of fluorescence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuran TangCollege of Chemistry and Environmental Engineering, Neijiang Normal University, Neijiang, 6641100, China. yrantang@163.com.
Jieting WenCollege of Chemistry and Environmental Engineering, Neijiang Normal University, Neijiang, 6641100, China.
Jing WangCollege of Chemistry and Environmental Engineering, Neijiang Normal University, Neijiang, 6641100, China.
Dingda XuCollege of Chemistry and Environmental Engineering, Neijiang Normal University, Neijiang, 6641100, China.
Yuan PengCollege of Chemistry and Environmental Engineering, Neijiang Normal University, Neijiang, 6641100, China. yuanpeng@njtc.edu.cn.

Funding

Science and Education Joint Fund of the Department of Science and Technology of Sichuan Province 2025NSFSC2137the Basic Research and Applied Basic Research Project of Neijiang 2024NJJCYJNJSY017The College Students' Innovation and Entrepreneurship Training Program of Sichuan Province S202410640070the Scientific Research Project of Neijiang Normal University 2023ZD09the Scientific Research Project of Neijiang Normal University 2024QNZ13
6 · The paper itself

Abstract

Carbon dots have attracted considerable attention in the field of ion sensing due to their excellent optical properties and biocompatibility. Currently, arginine-based carbon dots are predominantly synthesized via hydrothermal methods, which suffer from long synthesis times and the use of a single solvent system. In this study, L-arginine was employed as the sole carbon source, utilizing its intrinsic alkalinity to adjust the solution pH. Nitrogen-doped carbon dots were synthesized in one step in an ethanol system using a microwave reactor at 210 °C. The as-prepared carbon dots exhibit an emission peak at 350 nm under 290 nm excitation, with a fluorescence quantum yield of 11.31% and a full width at half maximum (FWHM) of only 54 nm, which is significantly narrower than that of carbon dots synthesized by conventional microwave methods. A fluorescence sensor for Fe³⁺ constructed based on these carbon dots demonstrates good selectivity and a wide linear response range (0.5-5180µmol·L

Indexed as

Carbonized polymer dotsFerric ionsFluorescent probeMicrowave synthesisSolvothermal method

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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.