Prospective Evaluation of the Transparent, Elastomeric, Adaptable, Long-Lasting (TEAL) Respirator
Name
TEAL_respirator_ACS-1.pdf
Description
Accepted version
Size
4.54 MB
Format
Adobe PDF
Checksum (MD5)
c7b6130aac6dfda72146b4482a3b69dc
Author(s)
Wentworth, Adam J
Byrne, James D
Orguc, Sirma
Sands, Joanna
Maji, Saurav
Tov, Caitlynn
Babaee, Sahab
Boyce, Hannah
Huang, Hen-Wei
Chai, Peter
Date Issued
November 2020
Journal
ACS Pharmacology and Translational Science
Publisher
American Chemical Society (ACS)
Citation
Wentworth, Adam J. et al. "Prospective Evaluation of the Transparent, Elastomeric, Adaptable, Long-Lasting (TEAL) Respirator." ACS Pharmacology and Translational Science 3, 6 (November 2020): 1076–1082. © 2020 American Chemical Society
Version
Author's final manuscript
Abstract
N95 filtering facepiece respirators (FFR) and surgical masks are essential in reducing airborne disease transmission, particularly during the COVID-19 pandemic. However, currently available FFR's and masks have major limitations, including masking facial features, waste, and integrity after decontamination. In a multi-institutional trial, we evaluated a transparent, elastomeric, adaptable, long-lasting (TEAL) respirator to evaluate success of qualitative fit test with user experience and biometric evaluation of temperature, respiratory rate, and fit of respirator using a novel sensor. There was a 100% successful fit test among participants, with feedback demonstrating excellent or good fit (90% of participants), breathability (77.5%), and filter exchange (95%). Biometric testing demonstrated significant differences between exhalation and inhalation pressures among a poorly fitting respirator, well-fitting respirator, and the occlusion of one filter of the respirator. We have designed and evaluated a transparent elastomeric respirator and a novel biometric feedback system that could be implemented in the hospital setting.
MIT Department
Massachusetts Institute of Technology. Microsystems Technology Laboratories
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1021/acsptsci.0c00157
