A Standardized Chewable Conductive Hydrogel Sensor for Direct Monitoring of Masticatory Dynamics

ABSTRACT Chewing is a fundamental orofacial function closely related to nutrition, digestion, and quality of life, yet current assessment methods generally rely on indirect signals or endpoint measurements and provide limited process‐level information. Here, a hydroxypropyl cellulose (HPC)/polyacrylamide (PAM) conductive hydrogel is developed as a standardized chewable sensor that integrates the test substrate with force‐to‐electrical signal transduction, enabling direct monitoring of masticatory dynamics. The sensor captures chewing frequency, relative force response, chewing duration, relative force response variability, and rhythm variability during standardized tests. Using predefined chewing‐state labels, these features were integrated into a classification framework, with KNN achieving 98.0% accuracy in recording‐level cross‐validation and 76.7% in nested leave‐one‐participant‐out validation, providing an initial assessment of generalizability to unseen participants. The hydrogel exhibits a compressive strength of 2.3 MPa, toughness of 287 kJ m − 3 , a response time of 150 ms, recovery within 173 ms, and less than 3% signal attenuation over 150 cycles. Polydimethylsiloxane (PDMS) encapsulation supports stable intraoral operation and biocompatibility. This work establishes a proof‐of‐concept platform for standardized acquisition and analysis of process‐resolved chewing data, offering a route toward objective, data‐driven assessment of masticatory function and, with larger population datasets, personalized oral rehabilitation and healthcare decision‐making.

Authors

Institutions

Publication Details

Journal
Advanced Healthcare Materials
Published
2026-10-16
DOI
https://doi.org/10.1002/adhm.71865
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Standardized Chewable Conductive Hydrogel Sensor for Direct Monitoring of Masticatory Dynamics

Xiaoxuan Xue, Kewei Zhang, Chao Yang, Yizhang Yang et al.
Advanced Healthcare Materials
Advanced Sensor and Energy Harvesting Materials
article

A Standardized Chewable Conductive Hydrogel Sensor for Direct Monitoring of Masticatory Dynamics

Xiaoxuan Xue, Kewei Zhang, Chao Yang, Yizhang Yang, Zhan Gao, Jun Wang
article en

Abstract

ABSTRACT Chewing is a fundamental orofacial function closely related to nutrition, digestion, and quality of life, yet current assessment methods generally rely on indirect signals or endpoint measurements and provide limited process‐level information. Here, a hydroxypropyl cellulose (HPC)/polyacrylamide (PAM) conductive hydrogel is developed as a standardized chewable sensor that integrates the test substrate with force‐to‐electrical signal transduction, enabling direct monitoring of masticatory dynamics. The sensor captures chewing frequency, relative force response, chewing duration, relative force response variability, and rhythm variability during standardized tests. Using predefined chewing‐state labels, these features were integrated into a classification framework, with KNN achieving 98.0% accuracy in recording‐level cross‐validation and 76.7% in nested leave‐one‐participant‐out validation, providing an initial assessment of generalizability to unseen participants. The hydrogel exhibits a compressive strength of 2.3 MPa, toughness of 287 kJ m − 3 , a response time of 150 ms, recovery within 173 ms, and less than 3% signal attenuation over 150 cycles. Polydimethylsiloxane (PDMS) encapsulation supports stable intraoral operation and biocompatibility. This work establishes a proof‐of‐concept platform for standardized acquisition and analysis of process‐resolved chewing data, offering a route toward objective, data‐driven assessment of masticatory function and, with larger population datasets, personalized oral rehabilitation and healthcare decision‐making.

Advanced Healthcare Materials
Qingdao University (CN)
Good health and well-being
Openalex Percentile: Top 24%
Advanced Sensor and Energy Harvesting Materials
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.