Evidence map›Paper›PMID 38543395›Full record

ArticlePolymers2024

Self-Powered Humidity Sensor Driven by Triboelectric Nanogenerator Composed of Bio-Wasted Peanut Skin Powder.

Muhammad Saqib, Shenawar Ali Khan, Maryam Khan, Shahzad Iqbal, Muhammad Muqeet Rehman, Woo Young Kim

Abstract read
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Muhammad SaqibDepartment of Electronic Engineering, Jeju National University, Jeju 63243, Republic of Korea.
Shenawar Ali KhanDepartment of Electronic Engineering, Jeju National University, Jeju 63243, Republic of Korea.ORCID 0000-0002-9606-3975
Maryam KhanDepartment of Electronic Engineering, Jeju National University, Jeju 63243, Republic of Korea.ORCID 0000-0001-8716-2907
Shahzad IqbalDepartment of Electronic Engineering, Jeju National University, Jeju 63243, Republic of Korea.ORCID 0000-0002-4178-8020
Muhammad Muqeet RehmanDepartment of Electronic Engineering, Jeju National University, Jeju 63243, Republic of Korea.ORCID 0000-0003-4712-6404
Woo Young KimDepartment of Electronic Engineering, Jeju National University, Jeju 63243, Republic of Korea.ORCID 0000-0003-2747-6618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing number of IoT devices has led to more electronic waste production, which harms the environment and human health. Self-powered sensor systems are a solution, but they often use toxic materials. We propose using biocompatible peanut skin as the active material for a self-powered humidity sensor (PSP-SPHS) through integration with a peanut-skin-based triboelectric nanogenerator (PSP-TENG). The PSP-TENG was characterized electrically and showed promising results, including an open circuit voltage (162 V), short circuit current (0.2 µA), and instantaneous power (2.2 mW) at a loading resistance of 20 MΩ. Peanut skin is a great choice for the sensor due to its porous surface, large surface area, eco-friendliness, and affordability. PSP-TENG was further used as a power source for the PSP-humidity sensor. PSP-SPHS worked as a humidity-dependent resistor, whose resistance decreased with increasing relative humidity (%RH), which further resulted in decreasing voltage across the humidity sensor. This proposed PSP-SPHS exhibited a good sensitivity (0.8 V/RH%), fast response/recovery time (4/10 s), along with excellent stability and repeatability, making it a potential candidate for self-powered humidity sensor technology.

Indexed as

peanut skin bio-wasteself-powered sensortriboelectric nanogeneratorversatile humidity sensor

Identifiers

PMID38543395
PMCPMC10976177

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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.