ReviewFrontiers in microbiology2025
Portable solutions for plant pathogen diagnostics: development, usage, and future potential.
Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed.
- When plants light up: fungal bioluminescence pathway-based sentinel systems for autonomous virus diagnostics.aBIOTECH · 2026Article
- Development and Preliminary Field Evaluation of an Indirect ELISA for Detecting Tomato Yellow Leaf Curl Virus.Viruses · 2026Article
- Development of a LAMP-on-Chip Assay for Simultaneous Detection of Mealybugs and Plant Viruses.Insects · 2026Article
- Asymmetric LAMP-gold nanoparticle biosensing for rapid detection of Kenyan tomato leaf curl virus isolates from crude extracts.RSC advances · 2026Article
- An Overview of MajorJournal of fungi (Basel, Switzerland) · 2026Review
- Research progress on nucleic acid amplification-based detection technologies for phytopathogenic fungi.Applied microbiology and biotechnology · 2026Review
- Electrochemical Biosensing Platforms for Rapid and Early Diagnosis of Crop Fungal and Viral Diseases.Sensors (Basel, Switzerland) · 2026Review
- A Systematically Enhanced LAMP Chip for Rapid, Sensitive, and Contamination-Free Pathogen Detection.ACS measurement science au · 2026Article
- Simplified Sample Preparation and Lateral Flow Immunoassay for the Detection of Plant Viruses.Biosensors · 2026Article
- Detection of Soil-Borne Pathogens Using Fine-Tuned Deep Learning Models: A Case Study on the Soybean Cyst Nematode (Heterodera glycines Ichinohe).The plant pathology journal · 2026Article
- Development and Validation of a Field-Based Colorimetric LAMP Assay for the Detection ofPlants (Basel, Switzerland) · 2026Article
- Molecular Identification and RNA-Based Management of Fungal Plant Pathogens: From PCR to CRISPR/Cas9.International journal of molecular sciences · 2026Review
- Review
- Editorial for Special Issue "Phytopathogens: Detection and Control".Microorganisms · 2025Article
- Emerging technologies for in-field plant virus detection: innovations and future directions.The Journal of general virology · 2025Review
- Smartphone-Integrated Electrochemical Devices for Contaminant Monitoring in Agriculture and Food: A Review.Biosensors · 2025Review
- A Novel Hybrid Technique for Detecting and Classifying Hyperspectral Images of Tomato Fungal Diseases Based on Deep Feature Extraction and Manhattan Distance.Sensors (Basel, Switzerland) · 2025Article
- Emerging Technologies and Integrated Strategies for Microbial Detection and Control in Fresh Produce.Microorganisms · 2025Review
- Exploring the advances of biosensing technology for the detection of plant pathogens in sustainable agriculture.Frontiers in bioengineering and biotechnology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increasing prevalence of plant pathogens presents a critical challenge to global food security and agricultural sustainability. While accurate, traditional diagnostic methods are often time-consuming, resource-intensive, and unsuitable for real-time field applications. The emergence of portable diagnostic tools represents a paradigm shift in plant disease management, offering rapid, on-site detection of pathogens with high accuracy and minimal technical expertise. This review explores portable diagnostic technologies' development, deployment, and future potential, including handheld analyzers, smartphone-integrated systems, microfluidics, and lab-on-a-chip platforms. We examine the core technologies underlying these devices, such as biosensors, nucleic acid amplification techniques, and immunoassays, highlighting their applicability to detect bacterial, viral, and fungal pathogens in diverse agricultural settings. Furthermore, the integration of these devices with digital technologies, including the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), is transforming disease surveillance and management. While portable diagnostics have clear advantages in speed, cost-effectiveness, and user accessibility, challenges related to sensitivity, durability, and regulatory standards remain. Innovations in nanotechnology, multiplex detection platforms, and personalized agriculture promise to further enhance the efficacy of portable diagnostics. By providing a comprehensive overview of current technologies and exploring future directions, this review underscores the critical role of portable diagnostics in advancing precision agriculture and mitigating the impact of plant pathogens on global food production.
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Registered trials
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.