Evidence map›Paper›PMID 31832323›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2019

Low Detection Limit and High Sensitivity Wind Speed Sensor Based on Triboelectrification-Induced Electroluminescence.

Li Su, Hailu Wang, Zhen Tian, Haojie Wang, Qian Cheng, Wei Yu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2019. 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. Article
  2. Hair-Like Flexible Airflow Sensor for Large-Area Airflow Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Chip-scale optical airflow sensor.Microsystems & nanoengineering · 2022
    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

6 authors.

Li SuHebei Key Laboratory of Optic-electronic Information and Materials National-Local Joint Engineering Laboratory of New Energy Photoelectric Devices College of Physics Science and Technology Hebei University Baoding City 071002 Hebei Province China.ORCID https://orcid.org/0000-0002-3187-1824
Hailu WangCAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-Nano Energy and Sensor Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 100083 China.
Zhen TianHebei Key Laboratory of Optic-electronic Information and Materials National-Local Joint Engineering Laboratory of New Energy Photoelectric Devices College of Physics Science and Technology Hebei University Baoding City 071002 Hebei Province China.
Haojie WangHebei Key Laboratory of Optic-electronic Information and Materials National-Local Joint Engineering Laboratory of New Energy Photoelectric Devices College of Physics Science and Technology Hebei University Baoding City 071002 Hebei Province China.
Qian ChengHebei Key Laboratory of Optic-electronic Information and Materials National-Local Joint Engineering Laboratory of New Energy Photoelectric Devices College of Physics Science and Technology Hebei University Baoding City 071002 Hebei Province China.
Wei YuHebei Key Laboratory of Optic-electronic Information and Materials National-Local Joint Engineering Laboratory of New Energy Photoelectric Devices College of Physics Science and Technology Hebei University Baoding City 071002 Hebei Province China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid development of the Internet of Things (IoT) has tremendously increased the demands for wind speed sensors in various applications, such as weather forecasting and environmental monitoring. To date, many wind speed sensors are developed based on triboelectric nanogenerators (TENGs). However, the low output current leads to a poor sensing precision, which greatly limits their practical applications. Here, a wind speed sensor is proposed by integrating a wind-driven triboelectrification-induced electroluminescence (TIEL) component with a perovskite-based photodetector (PD) for enlarged electric current output. Compared with mechanoluminescence (ML), TIEL displays significantly higher signal intensity even under gentle breezes. In addition, the emission peak of TIEL matches with the absorption band of perovskite materials. Thus, TIEL materials are promising candidates for generating distinct electrical signals in real-time to facilitate the detection of wind speed. With a comparable detection limit (5 m s

Indexed as

high sensitivitylow detection limitstriboelectrification‐induced electroluminescencewind speed sensors

Identifiers

PMID31832323
PMCPMC6891903

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.