Evidence map›Paper›PMID 42439169›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

A Multifunctional MWCNTs-Reinforced Chitosan-Gelatin Conducting Hydrogel for Triboelectric Nanogenerator and Artificial Opto-Electronic Synapse Applications.

Niloy Mridha, Megha Garg, Umakanta Patra, Aswani Yella, Prasanna Kumar S Mural

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Niloy MridhaDepartment of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay, Mumbai, India.ORCID https://orcid.org/0000-0001-7343-385X
Megha GargDepartment of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay, Mumbai, India.
Umakanta PatraDepartment of Physics, Indian Institute of Technology Bombay, Mumbai, India.
Aswani YellaDepartment of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay, Mumbai, India.
Prasanna Kumar S MuralDepartment of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay, Mumbai, India.

Funding

Industrial Research and Consultancy CentreORD VA I01 RD000522
6 · The paper itself

Abstract

Hydrogel systems uniting electrical conductivity, sensory responsiveness, and mechanical integrity are emerging as foundational building blocks for next-generation bioinspired electronics. Triboelectric nanogenerators (TENGs) represent a particularly attractive avenue for recovering ambient mechanical energy, while optoelectronic neuromorphic synapses offer energy-efficient, in-sensor optical processing reminiscent of biological visual pathways. In this work, a chitosan-gelatin (CSG) conducting hydrogel is prepared via solution casting and reinforced with carboxyl-functionalized MWCNTs and NaCl. The functionalized nanotube network establishes strong interfacial interactions within the biopolymer matrix, yielding a material with controlled swelling behavior, adequate mechanical resilience with favorable viscoelastic characteristics. The concurrent ionic-electronic transport pathways and elevated charge mobility underpin a well-defined structure-property relationship, translating directly into efficient mechanical-to-electrical energy conversion. The fabricated TENG achieves an open-circuit voltage of ∼398 V, short-circuit current of ∼96 µA, and power density of ∼132.91 µW/cm

Indexed as

artificial synapseschitosan‐gelatinhydrogelMWCNTs‐COOHneuromorphic electronicsoptoelectronicstriboelectric nanogeneratorsvisoelestic properties

Identifiers

PMID42439169
PMCPMC13533226

What OpenQuestion holds

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Registered trials

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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.