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Current Scenario of Pathogen Detection Techniques in Agro-Food Sector

  • Monika Nehra
  • , Virendra Kumar
  • , Rajesh Kumar
  • , Neeraj Dilbaghi
  • , Sandeep Kumar
  • Guru Jambeshwar University of Science and Technology
  • Panjab University

Research output: Contribution to journalReview articlepeer-review

33 Scopus citations

Abstract

Over the past-decade, agricultural products (such as vegetables and fruits) have been reported as the major vehicles for foodborne diseases, which are limiting food resources. The spread of infectious diseases due to foodborne pathogens poses a global threat to human health and the economy. The accurate and timely detection of infectious disease and of causative pathogens is crucial in the prevention and treatment of disease. Negligence in the detection of pathogenic substances can be catastrophic and lead to a pandemic. Despite the revolution in health diagnostics, much attention has been paid to the agro-food sector regarding the detection of food contaminants (such as pathogens). The conventional analytical techniques for pathogen detection are reliable and still in operation. However, laborious procedures and time-consuming detection via these approaches emphasize the need for simple, easy-to-use, and affordable detection techniques. The rapid detection of pathogens from food is essential to avoid the morbidity and mortality originating from the suboptimal nature of empiric pathogen treatment. This review critically discusses both the conventional and emerging bio-molecular approaches for pathogen detection in agro-food.

Original languageEnglish
Article number489
JournalBiosensors
Volume12
Issue number7
DOIs
StatePublished - 4 Jul 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Funding

Acknowledgments: The authors thank DBT, the Government of India, for a research grant vide letter No. BT/PR36257/NNT/28/1770/2020 dated 28 August 2020. Monika Nehra is grateful to CSIR for the SRA fellowship (No. B-12857 Dates 21 October 2021).

FundersFunder number
Department of Biotechnology, Ministry of Science and Technology, IndiaBT/PR36257/NNT/28/1770/2020
Council of Scientific and Industrial Research, IndiaB-12857

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • agro-food
    • disease
    • emerging pathogen detection
    • integrated biosensors
    • pathogen

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