Evidence map›Paper›PMID 38257606›Full record

ReviewSensors (Basel, Switzerland)2024

From Body Monitoring to Biomolecular Sensing: Current Progress and Future Perspectives of Triboelectric Nanogenerators in Point-of-Care Diagnostics.

Zequan Zhao, Yajun Mi, Hafeez Ur Rehman, Enqi Sun, Xia Cao, Ning Wang

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. 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. Review
  2. 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

6 authors.

Zequan ZhaoCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.
Yajun MiCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.
Hafeez Ur RehmanCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.
Enqi SunCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0001-5583-7308
Xia CaoBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China.
Ning WangCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0001-9772-7270

Funding

National Natural Science Foundation of China NSFC No. 51873020the University Basic Scientific Research Business Fee No. FRF-MP-20-38
6 · The paper itself

Abstract

In the constantly evolving field of medical diagnostics, triboelectric nanogenerators (TENGs) stand out as a groundbreaking innovation for simultaneously harnessing mechanical energy from micromovements and sensing stimuli from both the human body and the ambient environment. This advancement diminishes the dependence of biosensors on external power sources and paves the way for the application of TENGs in self-powered medical devices, especially in the realm of point-of-care diagnostics. In this review, we delve into the functionality of TENGs in point-of-care diagnostics. First, from the basic principle of how TENGs effectively transform subtle physical movements into electrical energy, thereby promoting the development of self-powered biosensors and medical devices that are particularly advantageous for real-time biological monitoring. Then, the adaptable design of TENGs that facilitate customization to meet individual patient needs is introduced, with a focus on their biocompatibility and safety in medical applications. Our in-depth analysis also covers TENG-based biosensor designs moving toward exceptional sensitivity and specificity in biomarker detection, for accurate and efficient diagnoses. Challenges and future prospects such as the integration of TENGs into wearable and implantable devices are also discussed. We aim for this review to illuminate the burgeoning field of TENG-based intelligent devices for continuous, real-time health monitoring; and to inspire further innovation in this captivating area of research that is in line with patient-centered healthcare.

Indexed as

Biological MonitoringPoint-of-Care TestingElectricityElectric Power SuppliesHumansIntelligencepoint-of-care diagnosticsself-powered sensingtriboelectric nanogeneratorwearable electronics

Identifiers

PMID38257606
PMCPMC10818951

What OpenQuestion holds

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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.