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  • Protected: SCENT Data Standard Meeting

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  • Protected: SCENT Kickoff Meeting

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  • COVID-19 Detection through Scent Analysis with a Compact GC Device

    Abstract Text: Recent studies, including ours, have suggested that breath may allow us to diagnose COVID-19 infection and even monitor its progress. As compared to immunological and genetic based methods using sample media like blood, nasopharyngeal swab, and saliva, breath analysis is non-invasive, simple, safe, and inexpensive; it allows a nearly infinite amount of sample…

  • A Handheld Microchip for GC Analysis of Breath to Screen for COVID-19

    Abstract Text: The COVID-19 pandemic has caused unprecedented societal suffering and economic disruption. In the United States, more than six million people have contracted COVID-19 and more than one hundred ninety thousand patients have died of this disease to date. Although current COVID-19 diagnostic testing technologies are critical for slowing the spread of the virus…

  • Portable GC Detector for Breath-based COVID Diagnostics

    Abstract Text: This proposal has two major goals: 1) Define signature exhaled breath volatile organic compounds (VOCs) to diagnose SARS-CoV-2 infections, and 2) Develop a portable chemical sensing device that can capture and detect exhaled VOCs and includes machine learning algorithms for automated data processing and results interpretation. This project will bring a portable sensor…

  • Effective, Reagent-free Detection of the Odor Signature of Covid-19 Infection Using a Nano-Enabled Sensor Array

    Abstract Text: COVID-19 presents a public health emergency: There is a critical need for rapid, not reagent intensive, non- invasive testing technologies. This program will lead to the production of a prototype system to diagnose COVID-19 infection using the body odor signature of the disease. Our goal is to maximize societal impact by creating a…