Evidence map›Paper›PMID 36832002›Full record

ReviewBiosensors2023

Self-Powered Biosensors for Monitoring Human Physiological Changes.

Ziao Xue, Li Wu, Junlin Yuan, Guodong Xu, Yuxiang Wu

Abstract readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. From Lab to Life: Self-Powered Sweat Sensors and Their Future in Personal Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
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  11. 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

5 authors.

Ziao XueDepartment of Health and Physical Education, Jianghan University, Wuhan 430056, China.
Li WuDepartment of Health and Physical Education, Jianghan University, Wuhan 430056, China.
Junlin YuanDepartment of Health and Physical Education, Jianghan University, Wuhan 430056, China.
Guodong XuDepartment of Health and Physical Education, Jianghan University, Wuhan 430056, China.
Yuxiang WuDepartment of Health and Physical Education, Jianghan University, Wuhan 430056, China.ORCID 0000-0002-9041-4471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human physiological signals have an important role in the guidance of human health or exercise training and can usually be divided into physical signals (electrical signals, blood pressure, temperature, etc.) and chemical signals (saliva, blood, tears, sweat). With the development and upgrading of biosensors, many sensors for monitoring human signals have appeared. These sensors are characterized by softness and stretching and are self-powered. This article summarizes the progress in self-powered biosensors in the past five years. Most of these biosensors are used as nanogenerators and biofuel batteries to obtain energy. A nanogenerator is a kind of generator that collects energy at the nanoscale. Due to its characteristics, it is very suitable for bioenergy harvesting and sensing of the human body. With the development of biological sensing devices, the combination of nanogenerators and classical sensors so that they can more accurately monitor the physiological state of the human body and provide energy for biosensor devices has played a great role in long-range medical care and sports health. A biofuel cell has a small volume and good biocompatibility. It is a device in which electrochemical reactions convert chemical energy into electrical energy and is mostly used for monitoring chemical signals. This review analyzes different classifications of human signals and different forms of biosensors (implanted and wearable) and summarizes the sources of self-powered biosensor devices. Self-powered biosensor devices based on nanogenerators and biofuel cells are also summarized and presented. Finally, some representative applications of self-powered biosensors based on nanogenerators are introduced.

Indexed as

Bioelectric Energy SourcesBiosensing TechniquesWearable Electronic DevicesElectricityHumansProstheses and Implantsbiosensorhealth monitoringnanogeneratorself-powered

Identifiers

PMID36832002
PMCPMC9953832

What OpenQuestion holds

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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.