Evidence map›Paper›PMID 39360016›Full record

ArticleInternational journal of analytical chemistry2024

4,5-Diamino-2-Thiouracil-Powered Dual-Mode Biosensor for Sensitive, Nonenzymatic Determination of Saliva Uric Acid Levels.

Zipeng Wu, Lingyan Cheng, Shuhua Cai, Baochang Su, Yaowei Chen, Chunzong Cai, Weijin Guo, Dong Ma, Xin Cui

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In one paragraph

Article in International journal of analytical chemistry, 2024. 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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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

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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

9 authors.

Zipeng Wu *Key Laboratory of Biomaterials of Guangdong Higher Education Institutes Department of Biomedical Engineering Jinan University, Guangzhou 510632, China.
Lingyan Cheng *Key Laboratory of Biomaterials of Guangdong Higher Education Institutes Department of Biomedical Engineering Jinan University, Guangzhou 510632, China.
Shuhua Cai *Key Laboratory of Biomaterials of Guangdong Higher Education Institutes Department of Biomedical Engineering Jinan University, Guangzhou 510632, China.
Baochang SuTransfusion Department The First Affiliated Hospital of Jinan University, Guangzhou 510632, China.
Yaowei ChenKey Laboratory of Biomaterials of Guangdong Higher Education Institutes Department of Biomedical Engineering Jinan University, Guangzhou 510632, China.
Chunzong CaiKey Laboratory of Biomaterials of Guangdong Higher Education Institutes Department of Biomedical Engineering Jinan University, Guangzhou 510632, China.
Weijin GuoDepartment of Biomedical Engineering Shantou University, Shantou 515063, China.
Dong MaKey Laboratory of Biomaterials of Guangdong Higher Education Institutes Department of Biomedical Engineering Jinan University, Guangzhou 510632, China.ORCID https://orcid.org/0000-0002-1814-7348
Xin CuiKey Laboratory of Biomaterials of Guangdong Higher Education Institutes Department of Biomedical Engineering Jinan University, Guangzhou 510632, China.ORCID https://orcid.org/0000-0001-8371-353X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonenzymatic and rapid monitoring of uric acid levels is of great value for early diagnosis, prevention, and management of oxidative stress-associated diseases. However, fast, convenient, and low-cost uric acid detection remains challenging, especially in resource-limited settings. In this study, a novel and rapid biosensing approach was developed for the simultaneous visualization and quantification of uric acid levels by using the unique surface plasmon resonance and photothermal property of 4,5-diamino-2-thiouracil (DT)-capped gold nanoparticles (AuNPs). With the presence of uric acid, DT-capped AuNPs rapidly aggregated, and a visible color/photothermal change was used for uric acid quantification within 15 min. The limit of detection was determined to be 11.3 and 6.6

Indexed as

4,5-diamino-2-thiouracilcolorimetricnonenzymaticphotothermaluric acid

Identifiers

PMID39360016
PMCPMC11446619

What Socratic holds

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LicenceCC BY
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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 Socratic graph.