Evidence map›Paper›PMID 39513830›Full record

ReviewNanomaterials (Basel, Switzerland)2024

Recent Progress in Nanomaterial-Based Surface-Enhanced Raman Spectroscopy for Food Safety Detection.

Hagar S Bahlol, Jiawen Li, Jiamin Deng, Mohamed F Foda, Heyou Han

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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.

Hagar S BahlolNational Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, College of Chemistry, Huazhong Agricultural University, Wuhan 430070, China.
Jiawen LiNational Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, College of Chemistry, Huazhong Agricultural University, Wuhan 430070, China.
Jiamin DengNational Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, College of Chemistry, Huazhong Agricultural University, Wuhan 430070, China.
Mohamed F FodaDepartment of Biochemistry, Faculty of Agriculture, Benha University, Moshtohor, Toukh 13736, Egypt.ORCID 0000-0002-2672-1370
Heyou HanNational Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, College of Chemistry, Huazhong Agricultural University, Wuhan 430070, China.ORCID 0000-0001-9406-0722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food safety has recently become a widespread concern among consumers. Surface-enhanced Raman scattering (SERS) is a rapidly developing novel spectroscopic analysis technique with high sensitivity, an ability to provide molecular fingerprint spectra, and resistance to photobleaching, offering broad application prospects in rapid trace detection. With the interdisciplinary development of nanomaterials and biotechnology, the detection performance of SERS biosensors has improved significantly. This review describes the advantages of nanomaterial-based SERS detection technology and SERS's latest applications in the detection of biological and chemical contaminants, the identification of foodborne pathogens, the authentication and quality control of food, and the safety assessment of food packaging materials. Finally, the challenges and prospects of constructing and applying nanomaterial-based SERS sensing platforms in the field of food safety detection are discussed with the aim of early detection and ultimate control of foodborne diseases.

Indexed as

biosensorsfoodborne pathogensfood packagingmolecular fingerprintSERS

Identifiers

PMID39513830
PMCPMC11547707

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.