Prospective Evaluation of the Transparent, Elastomeric, Adaptable, Long-Lasting (TEAL) Respirator

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 dec...

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Bibliographic Details
Main Authors: Wentworth, Adam J, Byrne, James D, Orguc, Sirma, Sands, Joanna, Maji, Saurav, Tov, Caitlynn, Babaee, Sahab, Boyce, Hannah, Huang, Hen-Wei, Chai, Peter, Min, Seokkee, Li, Canchen, Chu, Jacqueline N., Som, Avik, Becker, Sarah L, Gala, Manish, Chandrakasan, Anantha P, Traverso, Carlo Giovanni
Other Authors: Massachusetts Institute of Technology. Microsystems Technology Laboratories
Format: Article
Language:English
Published: American Chemical Society (ACS) 2021
Online Access:https://hdl.handle.net/1721.1/130587
Description
Summary: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.