Evidence map›Paper›PMID 28974002›Full record

ReviewInternational journal of molecular sciences2017

Current Technical Approaches for the Early Detection of Foodborne Pathogens: Challenges and Opportunities.

Il-Hoon Cho, Seockmo Ku

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Review
  3. A Dual-Gene Colorimetric LAMP Assay for Genus-Level Detection ofInternational journal of molecular sciences · 2025
    Article
  4. Advancements in Detection Methods forPathogens (Basel, Switzerland) · 2024
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Electrochemical Genosensing ofSensors (Basel, Switzerland) · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

2 authors.

Il-Hoon ChoDepartment of Biomedical Laboratory Science, College of Health Science, Eulji University, Seongnam 461-713, Korea. ihcho@eulji.ac.kr.
Seockmo KuFermentation Science Program, School of Agribusiness and Agriscience, College of Basic and Applied Sciences, Middle Tennessee State University, Murfreesboro, TN 37132, USA. Seockmo.Ku@mtsu.edu.ORCID 0000-0003-2661-5073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of novel and high-tech solutions for rapid, accurate, and non-laborious microbial detection methods is imperative to improve the global food supply. Such solutions have begun to address the need for microbial detection that is faster and more sensitive than existing methodologies (e.g., classic culture enrichment methods). Multiple reviews report the technical functions and structures of conventional microbial detection tools. These tools, used to detect pathogens in food and food homogenates, were designed via qualitative analysis methods. The inherent disadvantage of these analytical methods is the necessity for specimen preparation, which is a time-consuming process. While some literature describes the challenges and opportunities to overcome the technical issues related to food industry legal guidelines, there is a lack of reviews of the current trials to overcome technological limitations related to sample preparation and microbial detection via nano and micro technologies. In this review, we primarily explore current analytical technologies, including metallic and magnetic nanomaterials, optics, electrochemistry, and spectroscopy. These techniques rely on the early detection of pathogens via enhanced analytical sensitivity and specificity. In order to introduce the potential combination and comparative analysis of various advanced methods, we also reference a novel sample preparation protocol that uses microbial concentration and recovery technologies. This technology has the potential to expedite the pre-enrichment step that precedes the detection process.

Indexed as

Food MicrobiologyAnimalsBiosensing TechniquesChemistry Techniques, AnalyticalElectrochemical TechniquesFood AnalysisFoodborne DiseasesFood ContaminationHumansbiosensorcrossflow filtrationearly detectionfoodborne illnesshigh sensitivitynanotechnologypathogen detectionrapid detection

Identifiers

PMID28974002
PMCPMC5666760

What OpenQuestion holds

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LicenceCC BY
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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.