Evidence map›Paper›PMID 37484504›Full record

ArticleMicrosystems & nanoengineering2023

High-performance hybrid nanogenerator for self-powered wireless multi-sensing microsystems.

Dan-Liang Wen, Peng Huang, Hai-Tao Deng, Xin-Ran Zhang, Yi-Lin Wang, Xiao-Sheng Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microsystems & nanoengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. 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

6 authors.

Dan-Liang Wen *School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731 China.
Peng Huang *School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731 China.
Hai-Tao DengSchool of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731 China.
Xin-Ran ZhangSchool of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731 China.
Yi-Lin WangSchool of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731 China.
Xiao-Sheng ZhangSchool of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731 China.ORCID 0000-0001-9719-0573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wireless sensor network nodes are widely used in wearable devices, consumer electronics, and industrial electronics and are a crucial component of the Internet of Things (IoT). Recently, advanced power technology with sustainable energy supply and pollution-free characteristics has become a popular research focus. Herein, to realize an unattended and reliable power supply unit suitable for distributed IoT systems, we develop a high-performance triboelectric-electromagnetic hybrid nanogenerator (TEHNG) to harvest mechanical energy. The TEHNG achieves a high load power of 21.8 mW by implementing improvements of material optimization, configuration optimization and pyramid microstructure design. To realize a self-powered integrated microsystem, a power management module, energy storage module, sensing signal processing module, and microcontroller unit are integrated into the TEHNG. Furthermore, an all-in-one wireless multisensing microsystem comprising the TEHNG, the abovementioned integrated functional circuit and three sensors (temperature, pressure, and ultraviolet) is built. The milliwatt microsystem operates continuously with the TEHNG as the only power supply, achieving self-powered operations of sensing environmental variables and transmitting wireless data to a terminal in real time. This shows tremendous application potential in the IoT field.

Indexed as

Electrical and electronic engineeringElectronic devices

Identifiers

PMID37484504
PMCPMC10359314

What OpenQuestion holds

Textmetadata
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.