Evidence map›Paper›PMID 42129157›Full record

ArticleMicrosystems & nanoengineering2026

A self-powered microsystem with efficient power management for continuous wireless sensing.

Xiangyu Zhao, Zerui Xu, Ziyang Ou, Qingfeng Wu, Yifeng Liu, Yuqi Kang, Philippe Basset, Xiaohong Wang

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Xiangyu ZhaoSchool of Integrated Circuits, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-3525-9747
Zerui XuSchool of Integrated Circuits, Tsinghua University, Beijing, China.
Ziyang OuSchool of Integrated Circuits, Tsinghua University, Beijing, China.
Qingfeng WuSchool of Integrated Circuits, Tsinghua University, Beijing, China.
Yifeng LiuSchool of Integrated Circuits, Tsinghua University, Beijing, China.
Yuqi KangSchool of Integrated Circuits, Tsinghua University, Beijing, China.
Philippe BassetUniv Gustave Eiffel, CNRS, ESYCOM, Marne-la-Vallée, France.
Xiaohong WangSchool of Integrated Circuits, Tsinghua University, Beijing, China. wxh-ime@tsinghua.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62174097
6 · The paper itself

Abstract

The rapid expansion of the Internet of Things (IoT) has increased the demand for self-powered wireless microsystems, with energy harvesters emerging as a key approach for powering distributed IoT nodes. Among energy harvesters, triboelectric nanogenerators (TENGs) are promising for harvesting mechanical energy; yet converting their high-voltage, low-current pulsed output into a stable, low-voltage supply for microsystems remains a key challenge. This work introduces a self-powered microsystem capable of continuous sensing and wireless communication, powered exclusively by a TENG harvesting low-frequency mechanical energy. System-level integration and optimization address the impedance mismatch between the energy harvester and the microsystem electronics, enabling a five-fold increase in harvested energy compared to conventional full-bridge rectification. The system cold-starts from 0 V to 4.2 V within 525 s and transitions to high-efficiency power management, providing ~110 μW under 5 Hz mechanical excitation. Enabled by low-power system operation, a self-powered wireless gas monitoring system is demonstrated. This system establishes a pathway toward battery-less IoT nodes and highlights the potential of TENG-powered microsystems for long-term, maintenance-free IoT applications.

Identifiers

PMID42129157
PMCPMC13172475

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.