Evidence map›Paper›PMID 38318356›Full record

ArticleiScience2024

Biomimicking hydrophobic leaf structure using soft lithography for fog harvesting, triboelectric nanogenerators as a self-powered rain sensor.

Shaik Ruksana Begum, Arunkumar Chandrasekhar

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Shaik Ruksana BegumNanosensor and Nanoenergy Lab, Department of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India.
Arunkumar ChandrasekharNanosensor and Nanoenergy Lab, Department of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focused on the soft lithography technique of transferring the shape of a leaf's surface using a polymer film made by replicating the different patterns on the surfaces of four leaves. These films were used to collect fog water and to create TENGs for self-powered rain sensors. This research mainly focuses on analyzing the potential surface patterns of leaf films to improve fog water collection, enhancing the efficiency of TENGs, and looking at freshwater shortages in arid areas. The evaluations included surface morphology, contact angles, and structural analysis with goniometric drop morphology and 3D optical profilometry. Leaf-based TENGs showed promising power density, stability, and charging for energy gathering. Furthermore, the TENG devices showed their ability to detect raindrop patterns, highlighting their potential uses in promoting environmental sustainability. Hence, the result revealed that biomimicry can produce eco-friendly energy harvesting and sensor systems to reduce water scarcity and advance renewable energy.

Indexed as

Applied sciencesEnergy systemsTribology

Identifiers

PMID38318356
PMCPMC10839692

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.