Evidence map›Paper›PMID 42683870›Full record

ArticleAnnals of the New York Academy of Sciences2026

Dual-Component Surface-Enhanced Raman Scattering Detection of Tetracycline Based on Aptamer-Regulated Catalytic Switch.

Dong Yang, Lin Chen, Huiren Xu, Yuanbo Yu, Qianfeng Xia, Paul K Chu, Tingwei Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of the New York Academy of Sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

7 authors.

Dong Yang *NHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, China.
Lin Chen *NHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, China.
Huiren XuSchool of Intelligent Medicine and Technology (Big Data Research Center), Hainan Medical University (Hainan Academy of Medical Sciences), Haikou, Hainan, China.
Yuanbo YuSchool of Intelligent Medicine and Technology (Big Data Research Center), Hainan Medical University (Hainan Academy of Medical Sciences), Haikou, Hainan, China.
Qianfeng XiaNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, China.
Paul K ChuDepartment of Physics, Department of Materials Science and Engineering, and Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Tat Chee Avenue, Kowloon, China.
Tingwei HuNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, China.

Funding

Academic Enhancement Support Program of Hainan Medical University RC2400001279Academic Enhancement Support Program of Hainan Medical University XSTS2025033City University of Hong Kong Donation Research Grants 9220061City University of Hong Kong Donation Research Grants DON-RMG 9229021
6 · The paper itself

Abstract

This paper presents a surface-enhanced Raman scattering sensing platform for sensitive detection of tetracycline (TTC) in food samples, in which dual-component signal enhancement is achieved by combining an aptamer-regulated catalytic switch with a structurally optimized substrate. The substrate consists of an ordered gold nanoparticle (AuNP) array conformally coated with a continuous MXene film via liquid-liquid interfacial assembly. A TTC-specific aptamer and catalytic nitrogen/silver co-doped carbon dots (CD

Indexed as

Aptamers, NucleotideBiosensing TechniquesSpectrum Analysis, RamanTetracyclineAnimalsCatalysisFood AnalysisGoldMetal NanoparticlesMilkSilverAptamers, NucleotideGoldSilverTetracyclineCDN/AgMXene/AuNPsSERSTTC

Identifiers

PMID42683870
PMCPMC13536937

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.