Evidence map›Paper›PMID 40631804›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

A Water-Triggered Sensor for Self-Powered Flood Alarming.

Mingqi Zhao, Shanzhi Lyu, Yingchao Ma, Nan Zhang, Yapei Wang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A Water-Triggered Sensor for Self-Powered Flood Alarming.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

5 authors.

Mingqi ZhaoSchool of Chemistry and Life Resources, Renmin University of China, Beijing, 100872, China.
Shanzhi LyuSchool of Chemistry and Life Resources, Renmin University of China, Beijing, 100872, China.
Yingchao MaSchool of Chemistry and Life Resources, Renmin University of China, Beijing, 100872, China.
Nan ZhangSchool of Chemistry and Life Resources, Renmin University of China, Beijing, 100872, China.
Yapei WangSchool of Chemistry and Life Resources, Renmin University of China, Beijing, 100872, China.ORCID https://orcid.org/0000-0001-5420-0364

Funding

National Natural Science Foundation of China 22335008
6 · The paper itself

Abstract

Devastating natural disasters are prompting the need for effective early warning systems. The warning systems relying on cables or batteries are much expensive and not suitable for low-lying areas or remote environments. This research proposes a water-triggered sensor that has no energy consumption in dry conditions while becoming activated in the presence of water. The sensor is self-powered by a switchable galvanic battery which is made of two metallic electrodes isolated by an ion-loaded xerogel. When the battery is subjected to a water environment, the rapid hydration of the xerogel arouses the redox reaction between two electrodes, subsequently outputting the electrical power to trigger the sensing system associated with timely signal generation and transmission. To ensure adequate stability and durability against the ambient humidity variation, the battery is sealed with a polymer coat which is inert to the moisture but permeable to water. Since the sensor can be built on a paper base, it is suitable for Miura origami which is beneficial for improving the output power and minimizing the sensor size. Outdoor experiments confirm that the sensor is able to rapidly discriminate floods and warn nearby people and remote-control centers.

Indexed as

flood alarming systemhydrogelself‐powered sensor

Identifiers

PMID40631804
PMCPMC12376692

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.