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Updated: Aug 10, 2025

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

Published on: November 24, 2016

Sensorized Facemask With Moisture-Sensitive RFID Antenna.

Giulio Maria Bianco¹, Gaetano Marrocco¹

¹Department of Civil Engineering and Computer Science EngineeringUniversity of Tor Vergata 00133 Roma Italy.

IEEE Sensors Letters

|February 15, 2023

Summary

This summary is machine-generated.

A new moisture sensor for filtering facepiece respirators (FFRs) can detect when masks become too wet and need replacement. This low-cost radio frequency identification (RFID) technology helps ensure mask effectiveness during the COVID-19 pandemic.

Keywords:

Sensor applications auto-tuning filtering facepiece respirators (FFRs)personal protective equipment radio frequency identification (RFID)sensor applications wearable antennas

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Area of Science:

Biomedical Engineering
Materials Science
Wearable Technology

Background:

The widespread use of filtering facepiece respirators (FFRs) during the COVID-19 pandemic necessitates reliable methods for determining mask replacement.
Mask wetness, caused by breathing and sweating, can significantly impair the filtering capabilities of FFRs.
Current methods lack practical, real-time monitoring of FFR moisture levels, leading to potential underutilization or over-reliance on damp masks.

Purpose of the Study:

To design and evaluate a low-cost moisture sensor for FFRs.
To develop a practical method for monitoring FFR wetness to indicate when replacement is necessary.
To assess the sensor's performance under various conditions, including daily use and physical activity.

Main Methods:

Development of a radio frequency identification (RFID) tag incorporating an auto-tuning microchip specifically for humidity sensing.
Integration of the RFID sensor within FFRs for testing during typical workdays and physical exercise.
Quantification of the sensor's response to water generated by respiration and perspiration.

Main Results:

The developed RFID moisture sensor provides a digital metric output proportional to the amount of water absorbed by the FFR.
The sensor demonstrated a consistent response, yielding approximately 1 unit per 3 mg of water.
The system effectively differentiated between commonly used FFRs and those excessively wet, indicating a need for replacement.

Conclusions:

A low-cost RFID-based moisture sensor can effectively monitor FFR wetness in real-time.
This technology offers a practical solution for determining optimal FFR replacement, enhancing user safety and mask efficacy.
The sensor's ability to distinguish between damp and excessively wet masks supports adherence to World Health Organization guidelines.