Evidence map›Paper›PMID 41403914›Full record

ReviewRSC advances2025

Recent trends and future perspectives of triboelectric nanogenerators (TENGs) and applications.

Mani Rajasekar, Meenambigai Sivakumar

Abstract readReview
In one paragraph

Review in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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.

Mani RajasekarCentre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science and Technology (Deemed to be University) Chennai-600 119 Tamil Nadu India mrajasekar_83@yahoo.com drmrajasekar.irc@sathyabama.ac.in.ORCID https://orcid.org/0000-0002-5443-8070
Meenambigai SivakumarDepartment of Biotechnology, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology SRM Nagar, Chengalpattu Dist. Kattankulathur Tamil Nadu 603203 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triboelectric nanogenerators (TENGs) have emerged as a groundbreaking technology for energy harvesting and self-powered sensing applications. Recent advancements in materials and integration with modern technologies have significantly expanded their potential. This review highlights the latest trends and future perspectives of TENGs, focusing on the role of advanced materials such as gels, graphene, polymers, and silicon in enhancing their performance. Furthermore, the convergence of TENGs with artificial intelligence (AI), the Internet of Things (IoT), and machine learning is explored, enabling smart sensing and adaptive energy solutions. The integration of TENGs with robotics presents promising opportunities for self-powered systems in automation and human-machine interactions. Future research directions include optimizing material properties, improving energy conversion efficiency, and developing multifunctional, intelligent TENG-based systems. The fusion of TENGs with emerging digital technologies will drive the next generation of sustainable energy solutions, fostering advancements in self-powered devices and smart applications. This review distinguishes itself by integrating recent advances in the convergence of TENGs with artificial intelligence (AI), internet of things (IoT), robotics, and biomedical systems, offering a forward-looking roadmap for intelligent, self-powered technologies beyond existing general reviews.

Identifiers

PMID41403914
PMCPMC12703842

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.