ArticleACS omega2021
Remarkable Rate of Water Evaporation through Naked Veins of Natural Tree Leaves.
Article in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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.
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Who cites it
4 citing papers in PubMed.
- Interfacial Water State Engineering for Photocatalytic Hydrogen Evolution: From Immersed to Nonimmersed Systems.ChemSusChem · 2026Review
- Black Crust Complex: Influence of Temperature and Period of Wetness on the Development of Fungi inPlants (Basel, Switzerland) · 2024Article
- Plant leaf veins coupling feature representation and measurement method based on DeepLabV3.Frontiers in plant science · 2022Article
- Complete System to Generate Clean Water from a Contaminated Water Body by a Handmade Flower-like Light Absorber.ACS omega · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the form of leaves, nature designs the finest photothermal evaporators, and the tremendous evaporation efficiency of leaves is supported by a precisely designed network of veins. Here, we have demonstrated that the vein network of a natural leaf can be extracted through a simple water-assisted digestion process and exploited for low-energy steam generation. The naked leaf veins exhibit a remarkable flux (evaporation rate, 1.5 kg·m
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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.