ReviewFrontiers in chemistry2021
Biosensor Technologies for Early Detection and Quantification of Plant Pathogens.
Review in Frontiers in chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 116 citations in OpenAlex.
- Nanotechnology for sustainable agriculture: advances, applications and emerging role of multiomics.World journal of microbiology & biotechnology · 2026Review
- Advancements and Emerging Trends in the Detection of Sweet Potato Diseases: A Comprehensive Review.ACS omega · 2026Review
- Functionalized AgFeOACS omega · 2026Article
- Electrochemical Biosensing Platforms for Rapid and Early Diagnosis of Crop Fungal and Viral Diseases.Sensors (Basel, Switzerland) · 2026Review
- Rapid and specific detection of Peronospora belbahrii in basil (Ocimum basilicum L.) using a LAMP assay.Scientific reports · 2026Article
- Multimodal AI for Real-Time Food Safety and Quality: From Sensors to Foundation Models, Edge Deployment, and Regulation.Food science & nutrition · 2026Review
- Precision Farming with Smart Sensors: Current State, Challenges and Future Outlook.Sensors (Basel, Switzerland) · 2026Review
- A DNA Adsorption-Based Biosensor for Rapid Detection of Ratoon Stunting Disease in Sugarcane.Biosensors · 2025Article
- Emerging Fungal Pathogens Warfare, Fungi-Like Organisms, and the World's Major Crops: Lessons from the Past and Solutions for the Future.Current microbiology · 2025Review
- Bacterial network for precise plant stress detection and enhanced crop resilience.BMC bioinformatics · 2025Article
- RPA-assisted CRISPR-Cas12a-enabled point-of-care diagnostic platform for chili leaf curl virus with fluorescent and colorimetric readouts.Frontiers in microbiology · 2025Article
- Nanomaterial-based biosensors: a new frontier in plant pathogen detection and plant disease management.Frontiers in bioengineering and biotechnology · 2025Review
- Exploring the advances of biosensing technology for the detection of plant pathogens in sustainable agriculture.Frontiers in bioengineering and biotechnology · 2025Review
- Applications of transfer learning in sunflower disease detection: advances, challenges, and future directions.Turkish journal of biology = Turk biyoloji dergisi · 2025Review
- Advancing agriculture with functional NM: "pathways to sustainable and smart farming technologies".Discover nano · 2024Review
- Hyperspectral imaging analysis for early detection of tomato bacterial leaf spot disease.Scientific reports · 2024Article
- Amplification-free detection of Ascochyta blight in chickpea using a simple molecular beacon assay.Scientific reports · 2024Article
- Quantifying Plant Signaling Pathways by Integrating Luminescence-Based Biosensors and Mathematical Modeling.Biosensors · 2024Article
- Development of label-free electrochemical OMP-DNA probe biosensor as a highly sensitive system to detect of citrus huanglongbing.Scientific reports · 2024Article
- Recent advances and challenges in plant viral diagnostics.Frontiers in plant science · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant pathogens are a major reason of reduced crop productivity and may lead to a shortage of food for both human and animal consumption. Although chemical control remains the main method to reduce foliar fungal disease incidence, frequent use can lead to loss of susceptibility in the fungal population. Furthermore, over-spraying can cause environmental contamination and poses a heavy financial burden on growers. To prevent or control disease epidemics, it is important for growers to be able to detect causal pathogen accurately, sensitively, and rapidly, so that the best practice disease management strategies can be chosen and enacted. To reach this goal, many culture-dependent, biochemical, and molecular methods have been developed for plant pathogen detection. However, these methods lack accuracy, specificity, reliability, and rapidity, and they are generally not suitable for
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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.