Evidence map›Paper›PMID 40660027›Full record

ArticleMikrochimica acta2025

Au@PdPt nanoparticles-based colorimetric and photothermal dual-mode lateral flow immunoassay for the sensitive detection of ofloxacin.

Jialin Zhang, Li Nan, Liang Luo, Zizhe Li, Shumei Zheng, Xuefeng Xia, Chen Xing, Zhanhui Wang, Yantong Pan, Kai Wen

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Jialin Zhang *Technology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya, 572025, People's Republic of China.
Li Nan *National Key Laboratory of Veterinary Public Health and Safety, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, People's Republic of China.
Liang LuoNational Key Laboratory of Veterinary Public Health and Safety, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, People's Republic of China.
Zizhe LiTechnology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya, 572025, People's Republic of China.
Shumei ZhengTechnology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya, 572025, People's Republic of China.
Xuefeng XiaTechnology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya, 572025, People's Republic of China.
Chen XingTechnology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya, 572025, People's Republic of China.
Zhanhui WangNational Key Laboratory of Veterinary Public Health and Safety, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, People's Republic of China.
Yantong PanTechnology Innovation Center for Food Safety Surveillance and Detection (Hainan), Sanya Institute of China Agricultural University, Sanya, 572025, People's Republic of China. panyantong@cau.edu.cn.
Kai WenNational Key Laboratory of Veterinary Public Health and Safety, Beijing Key Laboratory of Detection Technology for Animal Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, People's Republic of China. wenkai@cau.edu.cn.

Funding

National Key Research and Development Program of China 2022YFF1101000
6 · The paper itself

Abstract

Ofloxacin (OFL) overuse leads to hazardous residues in food and the environment, necessitating sensitive and accurate detection. Traditional gold nanoparticle (AuNP)-based lateral flow immunoassays (LFIAs) suffer from low sensitivity, compromised accuracy, and reliance on single-mode signals, limiting their reliability. We synthesized Au@PdPt nanoparticles (NPs) via a one-step reduction method, integrating a plasmonic Au core with a Pd-Pt alloy shell to enable dual-mode colorimetric and photothermal detection of OFL with enhanced precision. The NPs exhibited broad-spectrum absorption, high photothermal efficiency, and stability. Based on this material, a dual-mode LFIA was developed for OFL, achieving limits of detection (LOD) of 0.059 ng mL⁻

Indexed as

ColorimetryGoldMetal NanoparticlesOfloxacinAnimalsFood ContaminationImmunoassayLimit of DetectionMilkPalladiumPlatinumRiversWater Pollutants, ChemicalGoldOfloxacinPalladiumPlatinumWater Pollutants, ChemicalAu@PdPt nanoparticlesColorimetricDual mode detectionLateral flow immunoassaysOfloxacinPhotothermal

Identifiers

PMID40660027

What OpenQuestion holds

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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.