Evidence map›Paper›PMID 41541210›Full record

ArticleRSC advances2026

Natural biowaste material-based green triboelectric nanogenerators for self-powered gait monitoring.

Md Mahmodul Hasan, Nasrin Sultana Ety, Fakhrul Islam, Subrata Bhowmik, Kamaruzzaman, S M Sohel Rana

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2026. 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. Article
  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

6 authors.

Md Mahmodul HasanDepartment of Electrical and Electronic Engineering, Noakhali Science and Technology University Noakhali Bangladesh smsr.aece@gmail.com.
Nasrin Sultana EtyDepartment of Electrical and Electronic Engineering, Noakhali Science and Technology University Noakhali Bangladesh smsr.aece@gmail.com.
Fakhrul IslamDepartment of Electrical and Electronic Engineering, Noakhali Science and Technology University Noakhali Bangladesh smsr.aece@gmail.com.
Subrata BhowmikDepartment of Electrical and Electronic Engineering, Noakhali Science and Technology University Noakhali Bangladesh smsr.aece@gmail.com.
KamaruzzamanDepartment of Electrical and Electronic Engineering, Noakhali Science and Technology University Noakhali Bangladesh smsr.aece@gmail.com.
S M Sohel RanaDepartment of Electrical and Electronic Engineering, Noakhali Science and Technology University Noakhali Bangladesh smsr.aece@gmail.com.ORCID https://orcid.org/0000-0002-5101-8361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancement of triboelectric nanogenerators (TENGs) has attracted increasing interest in recent years due to the growing tension between the increasing demand for energy and the increasing destruction of fossil fuels. For environmentally friendly and self-sufficient devices with high outputs, a TENG based on natural biomaterials is essential. Herein, we report natural biowaste material-based green triboelectric nanogenerators for self-powered gait monitoring. We systematically investigated three novel tribonegative materials: elephant apple, turmeric peel, and taro stem powder. The elephant apple powder-based TENG (EA-TENG) provides the highest output voltage because of its fibrous surface structure. The EA-TENG exhibits an open circuit voltage (

Identifiers

PMID41541210
PMCPMC12802093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.