Evidence map›Paper›PMID 40445388›Full record

ArticleMikrochimica acta2025

Ag@Au nanoparticle solid arrays for enhanced SERS detection of enrofloxacin: FDTD simulation insights.

Yuliang Cheng, Yajie Zhao, Peizhen Li, Hang Yu, Yunfei Xie, Yahui Guo, Weirong Yao, He Qian

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. 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

8 authors.

Yuliang Cheng *State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China. ylcheng@jiangnan.edu.cn.
Yajie Zhao *State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China.
Peizhen LiState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China.
Hang YuState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China.
Yunfei XieState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China.
Yahui GuoState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China.
Weirong YaoState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China.
He QianState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China.

Funding

Development Program of Changzhou Project No. CE20232005
6 · The paper itself

Abstract

As one of the most extensively used antibiotics in aquaculture in China, enrofloxacin (ENR) tends to accumulate in human body and endanger people's health. Rapid, sensitive, and facile assays for enrofloxacin are urgently needed. In this study, based on the solid-phase substrate preparation strategy combined with microsphere etching and magnetron sputtering, Ag@Au nanoparticle (Ag@Au NP) solid array (Ag@Au NSA) with high surface-enhanced Raman spectroscopy (SERS) enhancement factor (EF≈8.3 × 10

Indexed as

Anti-Bacterial AgentsEnrofloxacinGoldMetal NanoparticlesSilverSpectrum Analysis, RamanAnimalsFood ContaminationLimit of DetectionAnti-Bacterial AgentsEnrofloxacinGoldSilverCrayfish tail meat analysisEnrofloxacinNanoparticles solid arraySERSSolid-phase substrate preparation strategy

Identifiers

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.