Self-Powered Sensors for Environmental Monitoring.

Xiali Yang, Min Dai, Man Zhang, Shunyi Chen, Peng Zhang, Hancong Liu, Qitao Zhou, Jing Pan

Abstract readReview

In one paragraph

Review in Nanomaterials (Basel, Switzerland), 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.

Xiali YangState Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.

Min DaiState Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.

Man ZhangState Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.

Shunyi ChenState Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.

Peng ZhangState Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.

Hancong LiuState Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.

Qitao ZhouState Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.

Jing PanState Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China.

Funding

National Natural Science Foundation of China 22374137

6 · The paper itself

Abstract

The development of self-powered environmental sensors is of great practical significance for addressing the power supply dilemma of traditional sensors in remote areas and avoiding environmental pollution from waste batteries. Given that the majority of the self-powered environmental sensors are based on the TENG principle, especially the active self-powered sensors, this paper reviews recent advances in triboelectric nanogenerator (TENG)-based self-powered environmental sensors. What distinguishes this review from the previous ones published on TENG is that it systematically discusses the application of TENG-based self-powered sensors for environmental monitoring. TENG-based self-powered sensors are classified into two types: TENG as a power supply for professional biochemical sensors and active self-powered sensors where TENG acts as both power source and sensing unit. This paper illustrates the applications of these devices in detecting targets in the environment, such as heavy metal ions, toxic gases, bacterial DNA, and bacteria, and summarizes the relevant performance parameters. It also analyzes key challenges including efficient mechanical energy harvesting, material durability and sensing specificity. Finally, the outlook notes that TENG-based sensors will expand detection ranges and integrate with other technologies, providing valuable guidance for their environmental monitoring applications.

Indexed as

biochemical sensingenvironmental monitoringself-poweredtriboelectric nanogenerator

Identifiers

PMID42117943

DOI10.3390/nano16090526

PMCPMC13165192

What OpenQuestion holds

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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.