Evidence map›Paper›PMID 40155391›Full record

ArticleScientific reports2025

Development of co-doped ZnS-CdS quantum dots based composite sensor for the detection of cefixime (CXM) and tetracycline (TET), and application in real samples from local dairies.

Shakiba Javaheri, Fatemeh Keshavarzi, Changiz Karami

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Shakiba JavaheriDepartment of Biology, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
Fatemeh KeshavarziDepartment of Biology, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran. Fatemeh.Keshavarzi@iau.ac.ir.
Changiz KaramiDepartment of Chemistry, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The excessive use of antibiotics, particularly Cefixime (CXM) and tetracycline (TET), poses serious risks to human health and the environment. This study presents a novel detection method utilizing zinc sulfide-cadmium sulfide/cobalt (ZnS-CdS/Co) quantum dots, characterized through scanning electron microscopy (SEM), photoluminescence (PL), energy dispersive X-ray (EDX), mapping, Line scan, Fourier-transform infrared spectroscopy (FT-IR) techniques, and X-ray diffraction (XRD). Aqueous solutions of varied TET and CXM concentrations were prepared and analyzed using these synthesized quantum dots. The analysis revealed a significant decrease in fluorescence intensity with increasing antibiotic concentrations, demonstrating the method's high specificity and sensitivity. Recovery experiments with spiked milk samples yielded high accuracy, with CXM recovery rates ranging from 96.0 to 100.77% for Bistoon milk and 100.5-100.33% for Kalleh milk; TET recovery rates ranged from 97.2 to 106.0% for Bistoon milk and 93.16-102.5% for Kalleh milk. The optimized ZnS-CdS/Co nanoparticles showed low detection limits of 4.5 nM for CXM and 5.2 nM for TET. These findings underscore the potential of this rapid detection system as an effective tool for monitoring antibiotic residues in food products, significantly contributing to food safety and environmental sustainability. Future research could focus on enhancing the selectivity of these quantum dots for broader applications in complex matrices, promoting more sustainable antibiotic monitoring practices.

Indexed as

Anti-Bacterial AgentsCadmium CompoundsCefiximeQuantum DotsSulfidesTetracyclineZinc CompoundsAnimalsCobaltDairyingFood ContaminationMilkAnti-Bacterial AgentsCadmium Compoundscadmium sulfideCefiximeCobaltSulfidesTetracyclineZinc Compoundszinc sulfideAntibioticsFluorescence detectionMilkNano-probeQuantum dots

Identifiers

PMID40155391
PMCPMC11953350

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.