ReviewPlants (Basel, Switzerland)2025
Analysis of Electrome as a Tool for Plant Monitoring: Progress and Perspectives.
Review in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- Development of a New Handheld Device for Measuring Photosynthetic Carbon Dioxide Assimilation in Plant Leaves.Plants (Basel, Switzerland) · 2026Article
- Endogenous Circadian Rhythms in Plant Bioelectric Signals: Cross-Station Replication and Visitor-Driven Suppression in a Public Exhibition.Biomimetics (Basel, Switzerland) · 2026Article
- Analysis of electrome parameters of wheat seedlings in laboratory and natural conditions under the action of an osmotic stressor.Journal of plant research · 2026Article
- Spatial Optimization of Electrophysiological Signal Acquisition inPlants (Basel, Switzerland) · 2026Article
- The Clausius-Mossotti Factor in Dielectrophoresis: A Critical Appraisal of Its Proposed Role as an 'Electrophysiology Rosetta Stone'.Micromachines · 2026Article
- Abiotic stress triggers electrical synchronisation of shoot and leaves in soybean plants: a clue for plant attention-like.Plant signaling & behavior · 2025Article
- Towards Health Status Determination and Local Weather Forecasts fromBiomimetics (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, the electromic approach, which is based on the 'electrome' concept, to the analysis of electrical activity in plants has become increasingly relevant, as it can allow the detection of early signs of stress and the classification of external factors on the basis of complex, systemic changes in electrical parameters. However, the mechanisms underlying the observed complex effects remain unresolved. This review describes the main electrical signals in plants and their influence on physiological processes and tolerance to abiotic stressors, discusses limitations of traditional methods of investigation of electrical activity, summarizes modern strategies for electrome analysis, and considers the prospect of applying mathematical modeling to interpret the electromic data. We suggest that the integration of the electromic approach and mathematical modeling can greatly enhance the ability to investigate plant electrical signaling, opening new ways for fundamental and applied research in plant electrophysiology.
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Registered trials
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