Evidence map›Paper›PMID 39827232›Full record

ArticleCommunications engineering2025

Ultrafast humidity sensor and transient humidity detections in high dynamic environments.

Fang Liu, Jin Hong, Xiangdong Chen, Xing Ding, Shaopeng Li, Xiang Yu, Jiaqi Lu, Xuan Zhao, Kun Tang, Chenghua Xie and 1 more

Abstract read
In one paragraph

Article in Communications engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

11 authors.

Fang Liu *The School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.ORCID http://orcid.org/0000-0002-2023-2955
Jin Hong *The School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.
Xiangdong ChenThe School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China. xdchen@home.swjtu.edu.cn.ORCID http://orcid.org/0000-0002-5518-7226
Xing DingThe School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.
Shaopeng LiThe School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.
Xiang YuThe School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.
Jiaqi LuThe School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.
Xuan ZhaoThe School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.
Kun TangThe School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.
Chenghua XieThe School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.
Kemei ZhaoThe School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited by the adsorption and diffusion rate of water molecules, traditional humidity sensors, such as those based on polymer electrolytes, porous ceramics, and metal oxides, typically have long response times, which hinder their application in monitoring transient humidity changes. Here we present an ultrafast humidity sensor with a millisecond-level response. The sensor is prepared by assembling monolayer graphene oxide quantum dots on silica microspheres using a simple electrostatic self-assembly technique. Benefiting from the joint action of the micro spheres and the ultrathin humidity-sensitive film, it displays the fastest response time (2.76 ms) and recovery time (12.4 ms) among electronic humidity sensors. With the ultrafast response of the sensor, we revealed the correlation between humidity changes in speech airflow and speech activities, demonstrated the noise immunity of humidity speech activity detection, confirmed the humidity shock caused by explosions, realized ultrahigh frequency respiratory monitoring, and verified the effect of humidity-triggering in the non-invasive ventilator. This ultrafast humidity sensor has broad application prospects in monitoring transient humidity changes.

Identifiers

PMID39827232
PMCPMC11742969

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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.