Evidence map›Paper›PMID 34660183›Full record

ArticleNano energy2022

Intelligent facemask based on triboelectric nanogenerator for respiratory monitoring.

Qixin Lu, Hong Chen, Yuanming Zeng, Jiehui Xue, Xia Cao, Ning Wang, Zhonglin Wang

Abstract read
In one paragraph

Article in Nano energy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
  2. Artificial Intelligence-Driven Soft Bioelectronics for Self-Powered Respiration Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Triboelectric Nanogenerators for Preventive Health Monitoring.Nanomaterials (Basel, Switzerland) · 2024
    Review
  12. Article
  13. Biomimetic Electronic Skin through Hierarchical Polymer Structural Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

7 authors.

Qixin LuCenter on Nanoenergy Research, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.
Hong ChenCenter on Nanoenergy Research, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.
Yuanming ZengBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China.
Jiehui XueCenter on Nanoenergy Research, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.
Xia CaoCenter on Nanoenergy Research, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.
Ning WangCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.
Zhonglin WangCenter on Nanoenergy Research, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fast-spreading of novel coronavirus disease (COVID-19) has been sweeping around the globe and brought heavy casualties and economic losses, which creates dire needs for technological solutions into medical preventive actions. In this work, triboelectric nanogenerator for respiratory sensing (RS-TENG) has been designed and integrated with facemask, which endows the latter with respiratory monitoring function. The output of RS-TENG for respiratory flow can reach up to about 8 V and 0.8 μA respectively although it varies with different respiratory status, which proves the high sensitivity of RS-TENG for respiratory monitoring. An apnea alarm system can be constructed by combining the smart facemask with circuit modules so that timely alarm can be transmitted after people stop breathing. Furthermore, RS-TENG can be used to control household appliances, which brings convenience to the life of the disabled people. Considering its incomparable advantages such as small volume, easy fabrication, simple installation and economical applicability, such design is helpful for developing multifunctional health monitoring gadgets during the COVID-19 pandemic.

Indexed as

Respiratory sensingSelf-poweredTriboelectric nanogenerator

Identifiers

PMID34660183
PMCPMC8505024

What OpenQuestion holds

Textmetadata
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.