ArticlePlant signaling & behavior2021
Plant's electrophysiological information manifests the composition and nutrient transport characteristics of membrane proteins.
Article in Plant signaling & behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Integrating electrical parameters with agronomic, yield, and quality traits for screening superiorPlant signaling & behavior · 2026Article
- Leaf electrophysiological readouts reveal bicarbonate-associated shifts in early water-deficit response modes inPlant signaling & behavior · 2026Article
- Growth Traits and Electrophysiological Responses ofPlants (Basel, Switzerland) · 2026Article
- Electrophysiological Responses of Seleniferous Tea Seedlings to Cadmium Stress inPlants (Basel, Switzerland) · 2026Article
- Effects of Exogenous Gibberellic Acid (GAPlants (Basel, Switzerland) · 2026Article
- Plant electrical signals reveal the joint interactions of bicarbonate- selenium on cadmium transport inPlant signaling & behavior · 2025Article
- Electrophysiological Regulation of Nutrient Transport in Mangrove Species Under Salinity Stress: A Comparative Physiological Analysis ofPlants (Basel, Switzerland) · 2025Article
- Electrophysiological signatures decode herbivore-specific defense dynamics and elicitor-induced immune activation in rice.Crop health · 2025Article
- Electrophysiological sensors reveal silicon-selenium interaction of dynamic leaf intracellular water-nutrient metabolism in rice under cadmium stress.Plant signaling & behavior · 2025Article
- Physiological and electrophysiological characteristics of continuously croppedFrontiers in plant science · 2025Article
- Biophysical modelling as a tool for advancing plant science and engineering.Frontiers in plant science · 2025Review
- Tetramycin ameliorates tebuconazole·azoxystrobin to control leaf spot and viral diseases of Taizishen.Frontiers in plant science · 2025Article
- Association of the electrical parameters and photosynthetic characteristics of the tea tree manifests its response to simulated karst drought.Plant signaling & behavior · 2024Article
- Water Metabolism ofPlants (Basel, Switzerland) · 2023Article
- Can electrophysiological information reflect the response of mangrove species to salt stress? A case study of rewatering and Sodium nitroprusside application.Plant signaling & behavior · 2022Article
- Bioelectrical Impedance Spectroscopy for Monitoring Mammalian Cells and Tissues under Different Frequency Domains: A Review.ACS measurement science au · 2022Review
- Leaf Intracellular Water Transport Rate Based on Physiological Impedance: A Possible Role of Leaf Internal Retained Water in Photosynthesis and Growth of Tomatoes.Frontiers in plant science · 2022Article
- A comparative study on the circadian rhythm of the electrical signals ofPlant signaling & behavior · 2021Article
- Can Electrophysiological Parameters Substitute for Growth, and Photosynthetic Parameters to Characterize the Response of Mulberry and Paper Mulberry to Drought?Plants (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Almost all life activities of plants are accompanied by electrophysiological information. Plant's electrical parameters are considered to be the fastest response to environment. In this study, the theoretically intrinsic relationships between the clamping force and leaf resistance (R) and inductive reactance (XL) were revealed as 3-parameter exponential decay based on bioenergetics for the first time. The intrinsic resistance (IR), capacitive reactance (IXc), inductive reactance (IXL), impedance (IZ), and capacitance (IC) in plant leaves were successfully monitored. The nutrient flux per unit area (UNF), nutrient transfer rate (NTR) and nutrient transport capacity (NTC) in plants based on IR, IXc, IXL, IZ and IC were defined to reflect nutrient transport characteristics. The results indicate that IXc and IXL could be used to manifest the relative composition characteristics of cell membrane proteins, and are inversely proportional to the amount of surface and binding proteins that induce membrane Xc and XL in plant leaves, respectively. UNF, NTR or NTC exhibited good correlations with crude protein or crude ash, and accurately revealed the nutrient transport strategies of tested plants and their diversity. This study highlights that plant's electrophysiological information could effectively manifest the composition and nutrient transport characteristics of membrane proteins in plant cells.
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