2024 : 4 : 18
Majid Sanaeepur

Majid Sanaeepur

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0001-8818-2897
Education: PhD.
ScopusId: 35796193100
Faculty: Engineering
Address: Arak University
Phone: 086-32625628


Polymeric piezoresistive airflow sensor to monitor respiratory patterns
Respiratory sensors, Piezoresistive sensors, Finite element simulation, Graphene-based sensors, Vertical graphene nanosheets
Journal Journal of royal society interface
Researchers Majid Sanaeepur ، Sajad Abolpour Moshizi ، Abolfazl Abedi ، Christopher Pastras ، Zhaojun Han ، Shuying Wu ، Mohsen Asadnia


Monitoring human respiratory pattern has gained much attention among researchers across the current decade. Herein, we have used a novel graphene-based flow sensor as an airflow sensor to capture the behaviour of human respiration. The sensor takes advantage of a maze-like structure of vertically grown graphene nanosheets (VGNs) integrated with polydimethylsiloxane (PDMS) elastomer (25:1 weight ratio of prepolymer and curing agent). The VGNs/PDMS nanocomposite was characterised by exposing to a range of airflow rates (20-130 L/min). The sensor demonstrates a linear performance with high sensitivity and low response time (mostly below 1 s). To evaluate the experimental results and better understand flow dynamics around the sensor, a finite element simulation was conducted in COMSOL Multiphysics package. The piezoresistive effect of VGNs/PDMS thin film and fluid-solid interaction was thoroughly studied, and numerically computed sensor output in response to various flow rates was verified by experimental results. As a potential application, the VGNs/PDMS airflow sensor can detect the respiration pattern of human exercises like walking, jogging and running. The sensor shows a stable pattern with very low response and recovery time (1 s) during five consecutive cycles.