Evidence map›Paper›PMID 40941098›Full record

ReviewFoods (Basel, Switzerland)2025

Simultaneous Detection of Food Contaminants Using Surface-Enhanced Raman Scattering (SERS): A Review.

Lixin Ma, Ruiyun Zhou, Limei Yin, Li Sun, En Han, Junwen Bai, Jianrong Cai

Abstract readReview
In one paragraph

Review 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

7 authors.

Lixin MaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Ruiyun ZhouSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0001-7497-0577
Limei YinSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Li SunSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
En HanSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0001-6395-3560
Junwen BaiSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0002-7006-7118
Jianrong CaiSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0002-7509-3067

Funding

China Postdoctoral Science Foundation 2025T180824National Key Research and Development Program 2022YFD2002204
6 · The paper itself

Abstract

Surface-enhanced Raman scattering (SERS) technology has garnered significant attention for the detection of trace food contaminants, due to its exceptional sensitivity, non-destructive nature, and molecular fingerprinting capabilities. Currently, SERS applications in the simultaneous detection of multiple contaminants have advanced rapidly. SERS-based simultaneous detection strategies are generally categorized into label-free and labeled detection methods. Labeled detection can be further divided into SERS encoding detection and spatial isolation detection, with Raman reporter molecules playing a key role in SERS encoding. This article reviews the strategies, principles, common Raman reporter molecules, and practical applications of SERS-based simultaneous detection. Additionally, this article explores the challenges and future directions of SERS technology in contaminant detection, with an emphasis on the development of stable, intelligent substrates; improvements in analytical algorithms; and the creation of portable, on-site detection platforms. This study seeks to offer valuable insights into the development of SERS-based methods for simultaneously detecting multi-contaminants.

Indexed as

food contaminantsRaman reporter moleculessimultaneous detectionsurface-enhanced Raman scattering

Identifiers

PMID40941098
PMCPMC12427925

What OpenQuestion holds

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LicenceCC BY
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.