Evidence map›Paper›PMID 38538960›Full record

ArticleJournal of fluorescence2025

Non-enzymatic Detection of Uric Acid in Serum and Urine by Fluorescent and Visual Dual-Mode Sensor Based on 3-aminophenylboric Acid Functionalized Carbon Dots.

Xin Li, Guoqing Chen, Anqi Hu, Yi Xiong, Taiqun Yang, Chaoqun Ma, Lei Li, Hui Gao, Chun Zhu, Yamin Wu and 5 more

Abstract read
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In one paragraph

Article in Journal of fluorescence, 2025. 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
0.7field-weighted citation impact, top 31% 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, 6 citations in OpenAlex.

  1. 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

15 authors at 1 institution in 1 country.

Xin LiSchool of Science, Jiangnan University, Wuxi, 214122, China.
Guoqing ChenSchool of Science, Jiangnan University, Wuxi, 214122, China. jncgq@jiangnan.edu.cn.
Anqi HuSchool of Science, Jiangnan University, Wuxi, 214122, China.
Yi XiongSchool of Science, Jiangnan University, Wuxi, 214122, China.
Taiqun YangSchool of Science, Jiangnan University, Wuxi, 214122, China.
Chaoqun MaSchool of Science, Jiangnan University, Wuxi, 214122, China.
Lei LiSchool of Science, Jiangnan University, Wuxi, 214122, China.
Hui GaoSchool of Science, Jiangnan University, Wuxi, 214122, China.
Chun ZhuSchool of Science, Jiangnan University, Wuxi, 214122, China.
Yamin WuSchool of Science, Jiangnan University, Wuxi, 214122, China.
Jiao GuSchool of Science, Jiangnan University, Wuxi, 214122, China.
Hui WuSchool of Science, Jiangnan University, Wuxi, 214122, China.
Yan ZhouSchool of Science, Jiangnan University, Wuxi, 214122, China.
Weinan GuanSchool of Science, Jiangnan University, Wuxi, 214122, China.
Wei ZhangSchool of Science, Jiangnan University, Wuxi, 214122, China.
Jiangnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, we developed a sophisticated dual-mode sensor that utilized 3-aminophenylboric acid functionalized carbon dots (APBA-CDs) to accurately detect uric acid (UA). Our innovative process involved synthesizing APBA-CDs that emitted at 369 nm using a one-step hydrothermal method with 3-aminophenylboric acid and L-glutamine as precursors, ethanol and deionized water as solvents. Once UA was introduced to the APBA-CDs, the fluorescence of the system became visibly quenched. The results of Zeta potential, Fourier transformed infrared (FTIR) spectra, fluorescence lifetime, and other characteristics were analyzed to determine that the reaction mechanism was static quenching. This meant that after UA was mixed with APBA-CDs, it combined with the boric acid function on the surface to form complexes, resulting in a decrease in fluorescence intensity and a blue shift in the absorption peak at about 295 nm in the Ultraviolet-visible (UV-vis) absorption spectra. We were pleased to report that we have successfully used the dual-reading platform to accurately detect UA in serum and human urine. It provided a superior quantitative and visual analysis of UA without the involvement of enzymes. We firmly believe that our innovative dual-mode sensor has immense potential in the fields of biosensing and health monitoring.

Indexed as

Boronic AcidsCarbonFluorescent DyesQuantum DotsUric AcidFluorescenceHumansSpectrometry, FluorescenceBoronic AcidsCarbonFluorescent DyesUric AcidCarbon dotsDual-mode sensorFluorescenceSerumUric acidUrine

Identifiers

PMID38538960
OpenAlexW4393271789

What OpenQuestion holds

Textmetadata
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.