Evidence map›Paper›PMID 32596121›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2020

Ultralow Quiescent Power-Consumption Wake-Up Technology Based on the Bionic Triboelectric Nanogenerator.

Chenxi Zhang, Keren Dai, Di Liu, Fang Yi, Xiaofeng Wang, Lianqing Zhu, Zheng You

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. 0.5 m Triboelectric Nanogenerator for Efficient Blue Energy Harvesting of All-Sea Areas.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. 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

7 authors.

Chenxi ZhangDepartment of Precision Instrument Tsinghua University Beijing 100084 P. R. China.
Keren DaiZNDY of Ministerial Key Laboratory School of Mechanical Engineering Nanjing University of Science and Technology Nanjing Jiangsu 210094 P. R. China.
Di LiuBeijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 100083 P. R. China.
Fang YiSchool of Materials Science and Engineering Sun Yat-sen University Guangzhou Guangdong 510275 P. R. China.
Xiaofeng WangDepartment of Precision Instrument Tsinghua University Beijing 100084 P. R. China.ORCID https://orcid.org/0000-0001-9773-7065
Lianqing ZhuSchool of Instrument Science and Opto-Electronic Engineering Beijing Information Science and Technology University Beijing 100192 P. R. China.
Zheng YouDepartment of Precision Instrument Tsinghua University Beijing 100084 P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wake-up circuits in smart microsystems make huge contributions to energy conservation of electronic networks in unmanned areas, which still require higher pressure-triggering sensitivity and lower power consumption. In this work, a bionic triboelectric nanogenerator (bTENG) is developed to serve as a self-powered motion sensor in the wake-up circuit, which captures slight mechanical disturbances and overcomes the drawback of conventional self-powered motion sensors in the wake-up circuit that the circuit can only be triggered when a considerable pressure is applied on the sensor. The bTENG mimics the structure of plants and the addition of the leaf-shaped tentacle structures can increase the electrical outputs by four times, which largely extends the detection range of the wake-up circuit. The bTENG can detect both noncontact and contact mechanical disturbances; and voltages generated from both situations can trigger the wake-up system. Moreover, the specially designed circuit that is compatible with the bTENG can help more accurately control the wake-up system and prolong the battery life of the electronic networks to 12.4 times. An intrusion detection system is established in the wake-up circuit to distinguish human motion and judge the scene. This work opens new horizons for wake-up technologies, and provides new routes for persistent sensing.

Indexed as

bionic triboelectric nanogeneratorslow quiescent power consumptionscene judgmentself‐powered sensorswake‐up systems

Identifiers

PMID32596121
PMCPMC7312437

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.