Project Details

Early Career

Status: Funded - Open

A point-of-care device for respiratory infection diagnosis: Label-free viruses capture and detection

Yin-Ting Yeh, PhD


BACKGROUND: Current sample collection is an invasive and uncomfortable process and often results in failure when collecting proper samples, particularly from children. Moreover, current detection methods require long processing times especially for those highly mutated strains.

GAP: A point-of-care micro-device provides early and rapid diagnosis for respiratory tract infections through a simple exhaling.

HYPOTHESIS: H1: Viruses causing respiratory infections can be carried by aerosol droplets produced by exhaling, sneezing, and coughing. We hypothesize that our micro-device will efficiently capture and detect viruses.  H2: This micro-device can be integrated into current clinical protocols to improve disease diagnosis.

METHODS: Characterization of disease detection performance (capture efficiency and diagnosis accuracy) in laboratory and validate this technology into current clinical settings.

RESULTS: Pending

IMPACT: This point-of-care diagnosis technology for respiratory infections provides rapid pathogen detections, thus preventing the unnecessary usage of antibiotics. Clinicians will be able to rapidly screen and identify pathogens of respiratory infections of a large population, which is particularly effective and life-saving during high recurrence season.

Supervising Institution:
Pennsylvania State University

Mauricio Terrones

Project Location:

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