Evidence map›Paper›PMID 32244581›Full record

ReviewSensors (Basel, Switzerland)2020

Applications of Nanotechnology in Sensor-Based Detection of Foodborne Pathogens.

Harsh Kumar, Kamil Kuča, Shashi Kant Bhatia, Kritika Saini, Ankur Kaushal, Rachna Verma, Tek Chand Bhalla, Dinesh Kumar

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Sustainability and future outlook of the Philippine pig industry.Journal of advanced veterinary and animal research · 2025
    Article
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  9. Carbon Dots in Enantioselective Sensing.Sensors (Basel, Switzerland) · 2024
    Review
  10. Review
  11. Review
  12. Convergence of Nanotechnology and Bacteriotherapy for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  13. Article
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  15. 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

8 authors.

Harsh KumarSchool of Bioengineering & Food Technology, Shoolini University of Biotechnology and Management Sciences, Solan 173229, H.P., India.
Kamil KučaCenter for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove 50003, Czech Republic.ORCID 0000-0001-9664-1109
Shashi Kant BhatiaDepartment of Biological Engineering, College of Engineering, Konkuk University, Seoul 143-701, Korea.ORCID 0000-0002-7688-6069
Kritika SainiSchool of Bioengineering & Food Technology, Shoolini University of Biotechnology and Management Sciences, Solan 173229, H.P., India.
Ankur KaushalCentre of Nanotechnology, Amity University, Manesar, Gurugram, Haryana 122413, India.
Rachna VermaSchool of Biological and Environmental Sciences, Shoolini University of Biotechnology and Management Sciences, Solan 173229, H.P., India.ORCID 0000-0001-5321-9450
Tek Chand BhallaDepartment of Biotechnology, Himachal Pradesh University, Summer Hill, Shimla 171005, H.P., India.
Dinesh KumarSchool of Bioengineering & Food Technology, Shoolini University of Biotechnology and Management Sciences, Solan 173229, H.P., India.ORCID 0000-0003-3485-6408

Funding

UHK FIM Excellence project
6 · The paper itself

Abstract

The intake of microbial-contaminated food poses severe health issues due to the outbreaks of stern food-borne diseases. Therefore, there is a need for precise detection and identification of pathogenic microbes and toxins in food to prevent these concerns. Thus, understanding the concept of biosensing has enabled researchers to develop nanobiosensors with different nanomaterials and composites to improve the sensitivity as well as the specificity of pathogen detection. The application of nanomaterials has enabled researchers to use advanced technologies in biosensors for the transfer of signals to enhance their efficiency and sensitivity. Nanomaterials like carbon nanotubes, magnetic and gold, dendrimers, graphene nanomaterials and quantum dots are predominantly used for developing biosensors with improved specificity and sensitivity of detection due to their exclusive chemical, magnetic, mechanical, optical and physical properties. All nanoparticles and new composites used in biosensors need to be classified and categorized for their enhanced performance, quick detection, and unobtrusive and effective use in foodborne analysis. Hence, this review intends to summarize the different sensing methods used in foodborne pathogen detection, their design, working principle and advances in sensing systems.

Indexed as

Biosensing TechniquesBacteriaFoodborne DiseasesGraphiteHumansNanoparticlesNanostructuresNanotechnologyNanotubes, CarbonGraphiteNanotubes, Carbonfoodborne pathogensnanomaterialsnanotechnologysafetysensor

Identifiers

PMID32244581
PMCPMC7181077

What OpenQuestion holds

Textmetadata
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.