Rapid Detection of Foodborne Pathogenic Bacteria in Beef Using Surface-Enhanced Raman Spectroscopy.

Huixin Zuo, Yingying Sun, Mingming Huang, Yuqi Liu, Yimin Zhang, Yanwei Mao

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 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.

Preparation and characterization of ultrasound-mediated Ocimum basilicum L. essential oil nanoemulsion and its application in meat preservation.Ultrasonics sonochemistry · 2026
Article
Rapid single-cell identification of foodborne pathogens with limited data: A peak-aware Raman attention deep learning model.Current research in food science · 2026
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

6 authors.

Huixin ZuoCollege of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.

Yingying SunCollege of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.

Mingming HuangCollege of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.

Yuqi LiuCollege of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.

Yimin ZhangCollege of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.

Yanwei MaoCollege of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.

Funding

the Key R&D Program of Shandong Province, China 2023CXGC010708the special intergovernmental project for international cooperation in Science, Technology and Innovation 2019YFE0103800

6 · The paper itself

Abstract

Foodborne pathogenic bacteria in meat pose a serious threat to human health. Traditional detection methods for these bacteria are often time-consuming and labor-intensive. In this study, we applied surface-enhanced Raman scattering (SERS) combined with portable Raman spectroscopy as a rapid and convenient detection technique. SERS is a sensitive and fast method that enhances light scattering on rough metal surfaces. Silver nanoparticles (AgNPs) were used as SERS substrates to identify and analyze four pathogenic bacteria, including

Indexed as

beefchemometricsfoodborne pathogenssurface-enhanced Raman spectroscopy

Identifiers

PMID41097602

DOI10.3390/foods14193434

PMCPMC12523556

What OpenQuestion holds

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LicenceCC BY

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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.