Evidence map›Paper›PMID 36557895›Full record

ArticleMolecules (Basel, Switzerland)2022

Reliable and Rapid Detection and Quantification of Enrofloxacin Using a Ratiometric SERS Aptasensor.

Panxue Wang, Li Wang, Cen Li, Xiang Li, Guoliang Li

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  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

5 authors.

Panxue WangSchool of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China.ORCID 0000-0003-4558-6351
Li WangSchool of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China.
Cen LiSchool of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China.
Xiang LiSchool of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China.
Guoliang LiSchool of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China.

Funding

the National Natural Science Foundation of China 32102063the PhD start-up Capital of Shaanxi University of Science & Technology 2017BJ-51
6 · The paper itself

Abstract

Reliable detection and quantification of antibiotic residues in food using surface-enhanced Raman spectroscopy remain challenging, since the intensities of SERS signals are vulnerable to matrix and experimental factors. In this work, a ratiometric SERS aptasensor using 6-Carboxyl-X-Rhodamine (ROX)-labeled aptamers and 4-mercaptobenzonitrile (4-MBN)-functionalized gold nanoparticles (Au NPs) as SERS probes was established for the reliable and rapid detection and quantification of enrofloxacin. In the presence of enrofloxacin, the conformational transform of aptamers took place, and the distance between ROX and Au NP increased, which resulted in a decrease in the SERS signal intensity of ROX. Meanwhile, the intensity of the SERS signal of 4-MBN was used as an internal standard. Reliable determination of enrofloxacin was realized using the ratio of the SERS signal intensities of ROX to 4-MBN. Under optimal conditions, the developed ratiometric SERS aptasensor provided a wide linear range from 5 nM to 1 µM, with a correlation coefficient (R

Indexed as

Aptamers, NucleotideBiosensing TechniquesMetal NanoparticlesAnimalsEnrofloxacinGoldLimit of DetectionSpectrum Analysis, RamanAptamers, NucleotideEnrofloxacinGolddetectionenrofloxacinfood safetyportable Raman spectrometerratiometricSERS aptasensor

Identifiers

PMID36557895
PMCPMC9784490

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.