ReviewHeliyon2022
A review of recent advances in plant-pathogen detection systems.
Review in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 71 citations in OpenAlex.
- Novel Detection Marker of Xanthomonas fragariae from Strawberry Plants Using SYBR Green Real-Time PCR.The plant pathology journal · 2026Article
- Capacitive field-effect biosensors loaded with intact plant virus particles: modelling and experimental data.Analytical and bioanalytical chemistry · 2026Article
- Electrochemical Biosensing Platforms for Rapid and Early Diagnosis of Crop Fungal and Viral Diseases.Sensors (Basel, Switzerland) · 2026Review
- A Handy and Visual Detection Method for Potato Late Blight Utilizing Multi-Copy Specific Sequences and RPA-LFD Technology.Journal of microbiology and biotechnology · 2026Article
- Simplified Sample Preparation and Lateral Flow Immunoassay for the Detection of Plant Viruses.Biosensors · 2026Article
- Robust design of LAMP assays for in-field detection of major bacterial vascular diseases of banana.PloS one · 2026Article
- Article
- 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
- Article
- Electrochemical Biosensors for Oilseed Crops: Nanomaterial-Driven Detection and Smart Agriculture.Foods (Basel, Switzerland) · 2025Review
- Microbial Nanoparticles in Biological Plant Protection.International journal of molecular sciences · 2025Review
- Exploring the advances of biosensing technology for the detection of plant pathogens in sustainable agriculture.Frontiers in bioengineering and biotechnology · 2025Review
- Remote sensing-based detection of brown spot needle blight: a comprehensive review, and future directions.PeerJ · 2025Review
- Addition of two new genera-Frontiers in cellular and infection microbiology · 2025Article
- Isothermal Amplification Techniques: An Emerging Tool for On-Site Detection of Phytopathogens in Field Conditions.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Lactic acid bacteria: A sustainable solution against phytopathogenic agents.Environmental microbiology reports · 2024Review
- A novel hierarchical framework for plant leaf disease detection using residual vision transformer.Heliyon · 2024Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Worldwide, a substantial economic loss in agricultural products is caused by plant pathogens. The increased losses in agriculture have drawn attention towards the development of miniaturized pathogen detection systems for phytopathology. This review paper's main selling point supports recent research (from 2015 to 2022) and technological advancements in the field of plant pathogen detection. The article discusses in depth important developments in the loop-mediated isothermal amplification (LAMP) assay, microfluidics, Molecular Imprinted Polymer (MIP) based biosensors, digital droplet PCR (ddPCR), disposable all-printed electronics, and nanoparticle-based sensors for instantaneous pathogen detection in agricultural applications. Utilizing nanoparticles to identify agricultural pathogens is a crucial topic that is explored. A brief on various commercially available detection systems worldwide have been listed. Finally, we discuss the perspective in the development of portable miniaturized systems and novel assay technologies based on advanced nanomaterials. Gold standard techniques: Although Polymerase Chain Reaction (PCR) and culture counting have been widely used for plant pathogen detection, they are not appropriate for measurements made in the field due to their higher installation costs, lack of portability, need for well-equipped laboratories, and requirement of skilled personnel. Therefore, these recent trends are overtaking the traditional methods in Agri-diagnostics because of their superior performances and suitability for the task.
Indexed as
Identifiers
What OpenQuestion holds
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.