A High-Performance Surface Acoustic Wave Humidity Sensor with Uniform Multiwrinkled Graphene Oxide Film

Humidity sensors were widely used in Internet of Things (IoT) applications. According to medical respiration monitoring, noncontact sensing, and human-computer interface requirements, fast response and high repeatability are important for efficient and precise signal acquisition. Previous research works mainly focus on sensitivity improvement with the scarification of response time, stability, and repeatability. In this paper, we proposed the surface acoustic wave (SAW) humidity sensors with comprehensive performance using the uniform multiwrinkled graphene oxide (GO) films as the sensing material obtained by vacuum filtration and liquid phase transfer method. The multiwrinkled GO films offered controllable thickness (thin to 29 nm), uniform wafer-level fabrication (2 in.), and abundant wrinkle, making them become effective sensitive films for SAW humidity sensors due to numerous adsorption sites and transfer channels for water molecules. The experimental results showed that the sensors can obtain high sensitivity (10.5 kHz/RH%@60 nm thick film), ultrafast response (∼45 ms), good stability (variation amplitude ∼0.1%), repeatability (variation amplitude ∼1%), and wafer-level fabrication capability demonstrating their practical applications for medical respiration monitoring, noncontact sensing, and human-computer interface.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2024-12-12
DOI
https://doi.org/10.1021/acssensors.4c02177
Citations
11
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
2.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A High-Performance Surface Acoustic Wave Humidity Sensor with Uniform Multiwrinkled Graphene Oxide Film

Xiaoyi Wang, Huikai Xie, Shujun Cai, Feng Gao et al.
11 citations
ACS Sensors
Gas Sensing Nanomaterials and Sensors
2.30
article

A High-Performance Surface Acoustic Wave Humidity Sensor with Uniform Multiwrinkled Graphene Oxide Film

Xiaoyi Wang, Huikai Xie, Shujun Cai, Feng Gao, Gai Yang, Peng Li
article en
11 citations

Abstract

Humidity sensors were widely used in Internet of Things (IoT) applications. According to medical respiration monitoring, noncontact sensing, and human-computer interface requirements, fast response and high repeatability are important for efficient and precise signal acquisition. Previous research works mainly focus on sensitivity improvement with the scarification of response time, stability, and repeatability. In this paper, we proposed the surface acoustic wave (SAW) humidity sensors with comprehensive performance using the uniform multiwrinkled graphene oxide (GO) films as the sensing material obtained by vacuum filtration and liquid phase transfer method. The multiwrinkled GO films offered controllable thickness (thin to 29 nm), uniform wafer-level fabrication (2 in.), and abundant wrinkle, making them become effective sensitive films for SAW humidity sensors due to numerous adsorption sites and transfer channels for water molecules. The experimental results showed that the sensors can obtain high sensitivity (10.5 kHz/RH%@60 nm thick film), ultrafast response (∼45 ms), good stability (variation amplitude ∼0.1%), repeatability (variation amplitude ∼1%), and wafer-level fabrication capability demonstrating their practical applications for medical respiration monitoring, noncontact sensing, and human-computer interface.

ACS SensorsVol. 9(12)
Beijing Institute of Technology (CN), Zhejiang University of Science and Technology (CN), Institute of Microelectronics (CN), Zhejiang University (CN), Oceaneering International (United States) (US)
Natural Science Foundation of Chongqing, Beijing Institute of Technology Research Fund Program for Young Scholars, National Outstanding Youth Science Fund Project of National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 11%
Gas Sensing Nanomaterials and Sensors
2.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.