Evidence map›Paper›PMID 33542318›Full record

ArticleScientific reports2021

Tactile sensing biohybrid soft E-skin based on bioimpedance using aloe vera pulp tissues.

Mostafa A Mousa, MennaAllah Soliman, Mahmood A Saleh, Ahmed G Radwan

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Yeast-Driven and Bioimpedance-Sensitive Biohybrid Soft Robots.Cyborg and bionic systems (Washington, D.C.) · 2025
    Article
  2. Review
  3. Article
  4. Article
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

4 authors.

Mostafa A MousaNanoelectronics Integrated Systems Center (NISC), Nile University, Sheikh Zayed City, 12588, Egypt. mabdelrahman@nu.edu.eg.
MennaAllah SolimanMechanical Engineering Program, School of Engineering and Applied Sciences, Nile University, Sheikh Zayed City, 12588, Egypt.
Mahmood A SalehMechanical Engineering Program, School of Engineering and Applied Sciences, Nile University, Sheikh Zayed City, 12588, Egypt.
Ahmed G RadwanDepartment of Engineering Mathematics and Physics, Cairo University, Giza, 12613, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft and flexible E-skin advances are a subset of soft robotics field where the soft morphology of human skin is mimicked. The number of prototypes that conformed the use of biological tissues within the structure of soft robots-to develop "Biohybrid Soft Robots"-has increased in the last decade. However, no research was conducted to realize Biohybrid E-skin. In this paper, a novel biohybrid E-skin that provides tactile sensing is developed. The biohybrid E-skin highly mimics the human skin softness and morphology and can sense forces as low as 0.01 newton . The tactile sensing feature is augmented through the use of Aloe Vera pulp, embedded in underlying channel, where the change in its bioimpedance is related to the amount of force exerted on the E-skin surface. The biohybrid E-skin employs high biomimicry as the sensorial output is an oscillating signal similar to signals sent from the human sensing neurons to the brain. After investigating different channel geometries, types of filling tissues, and usage of two silicone materials, their frequency-force behaviour is modelled mathematically. Finally, a functional multichannel prototype "ImpEdded Skin" is developed. This prototype could efficiently detect the position of a tactile touch. This work employs the development of discrete sensing system that exhibits morphological computation that consequently enhances performance.

Identifiers

PMID33542318
PMCPMC7862233

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.