Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...
Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Biochemical and growth responses of mungbean to actinobacterial inoculation under water stress.

Scientific reports·2026
Same author

A feature-centric decision-making framework for diagnosing and enhancing system efficiency in intelligent multi-agent manufacturing.

Scientific reports·2026
Same author

A robust hybrid data driven approach to model biochar yield in terms of biomass pyrolysis.

Bioresources and bioprocessing·2026
Same author

Predictive modeling for the mean diameter of carbon nanotubes produced by methane decomposition.

Discover nano·2026
Same author

Deep learning enhanced prediction framework for bio oil yield from organic solid waste with chemically informed features.

Scientific reports·2026
Same author

Assessment of quantum chemical predictors for anti-colorectal cancer agents using QSAR modeling.

Journal of computer-aided molecular design·2026

Related Experiment Video

Updated: Jul 8, 2026

On-Site Molecular Detection of Soil-Borne Phytopathogens Using a Portable Real-Time PCR System
14:15

On-Site Molecular Detection of Soil-Borne Phytopathogens Using a Portable Real-Time PCR System

Published on: February 23, 2018

16.4K

Portable solutions for plant pathogen diagnostics: development, usage, and future potential.

Anurag Yadav1, Kusum Yadav2

  • 1Department of Microbiology, C. P. College of Agriculture, Sardarkrushinagar Dantiwada Agricultural University, Banaskantha, India.

Frontiers in Microbiology
|February 17, 2025
PubMed
Summary

Portable diagnostic tools offer rapid, on-site plant pathogen detection, enhancing global food security. These technologies, integrating with AI and IoT, are revolutionizing agricultural disease management and precision farming.

Keywords:
lab-on-a-chipplant pathogenspoint-of-care testingportable biosensorsportable diagnostics

More Related Videos

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics
10:42

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Published on: June 17, 2022

2.8K
Author Spotlight: Development of Simplified CRISPR-Based Tests for Rapid Detection of Infectious Diseases
10:16

Author Spotlight: Development of Simplified CRISPR-Based Tests for Rapid Detection of Infectious Diseases

Published on: August 16, 2024

1.0K

Related Experiment Videos

Last Updated: Jul 8, 2026

On-Site Molecular Detection of Soil-Borne Phytopathogens Using a Portable Real-Time PCR System
14:15

On-Site Molecular Detection of Soil-Borne Phytopathogens Using a Portable Real-Time PCR System

Published on: February 23, 2018

16.4K
Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics
10:42

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Published on: June 17, 2022

2.8K
Author Spotlight: Development of Simplified CRISPR-Based Tests for Rapid Detection of Infectious Diseases
10:16

Author Spotlight: Development of Simplified CRISPR-Based Tests for Rapid Detection of Infectious Diseases

Published on: August 16, 2024

1.0K

Area of Science:

  • Agricultural Science
  • Biotechnology
  • Plant Pathology

Background:

  • Rising plant pathogen prevalence threatens global food security and agricultural sustainability.
  • Traditional diagnostic methods are slow, costly, and impractical for field use.
  • Need for rapid, on-site diagnostic solutions in agriculture.

Purpose of the Study:

  • To review the development, deployment, and future potential of portable diagnostic technologies for plant pathogens.
  • To examine the integration of these technologies with digital tools for enhanced disease management.

Main Methods:

  • Review of portable diagnostic technologies: handheld analyzers, smartphone-integrated systems, microfluidics, lab-on-a-chip platforms.
  • Analysis of underlying technologies: biosensors, nucleic acid amplification techniques, immunoassays.
  • Exploration of integration with digital technologies: Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML).

Main Results:

  • Portable diagnostics provide rapid, accurate, on-site detection of bacterial, viral, and fungal pathogens.
  • Integration with IoT, AI, and ML transforms disease surveillance and management strategies.
  • Advantages include speed, cost-effectiveness, and user accessibility.

Conclusions:

  • Portable diagnostics are crucial for precision agriculture and mitigating pathogen impact.
  • Ongoing innovations in nanotechnology and multiplex detection will further improve efficacy.
  • Addressing challenges in sensitivity, durability, and regulatory standards is essential for widespread adoption.