Evidence map›Paper›PMID 36140082›Full record

ReviewBiosensors2022

Recent Progress of Triboelectric Nanogenerators for Biomedical Sensors: From Design to Application.

Fatemeh Rahimi Sardo, Arash Rayegani, Ali Matin Nazar, Mohammadali Balaghiinaloo, Mohammadhossein Saberian, Syed Agha Hassnain Mohsan, Mohammed H Alsharif, Ho-Shin Cho

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

8 authors.

Fatemeh Rahimi SardoDepartment of Mining Engineering, Shahid Bahonar University of Kerman, Kerman 7616913439, Iran.
Arash RayeganiDepartment of Civil Engineering, Sharif University of Technology, Azadi Ave, Tehran 1458889694, Iran.ORCID 0000-0001-7932-7038
Ali Matin NazarOcean College, Zhejiang University, Zhoushan 316021, China.
Mohammadali BalaghiinalooSchool of Medicine, Fasa University of Medical Sciences, Fasa 7461686688, Iran.
Mohammadhossein SaberianSchool of Medicine, Zhejiang University, 866 Yuhangtang Rd., Hangzhou 310058, China.
Syed Agha Hassnain MohsanOcean College, Zhejiang University, Zhoushan 316021, China.ORCID 0000-0002-5810-4983
Mohammed H AlsharifDepartment of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul 05006, Korea.ORCID 0000-0001-8579-5444
Ho-Shin ChoSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Korea.

Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government [Ministry of Science, ICT and Future Planning (MSIT)] 2021R1A2C1003507
6 · The paper itself

Abstract

Triboelectric nanogenerators (TENG) have gained prominence in recent years, and their structural design is crucial for improvement of energy harvesting performance and sensing. Wearable biosensors can receive information about human health without the need for external charging, with energy instead provided by collection and storage modules that can be integrated into the biosensors. However, the failure to design suitable components for sensing remains a significant challenge associated with biomedical sensors. Therefore, design of TENG structures based on the human body is a considerable challenge, as biomedical sensors, such as implantable and wearable self-powered sensors, have recently advanced. Following a brief introduction of the fundamentals of triboelectric nanogenerators, we describe implantable and wearable self-powered sensors powered by triboelectric nanogenerators. Moreover, we examine the constraints limiting the practical uses of self-powered devices.

Indexed as

Biosensing TechniquesNanotechnologyElectric Power SuppliesHumansProstheses and Implantsbiomedical sensorsself-powered sensorstriboelectric nanogenerators (TENG)

Identifiers

PMID36140082
PMCPMC9496147

What OpenQuestion holds

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LicenceCC BY
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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.