Litcius/Paper detail

Review of non-invasive detection of SARS-CoV-2 and other respiratory pathogens in exhaled breath condensate

Emeka Nwanochie, Jacqueline C. Linnes

2022Journal of Breath Research16 citationsDOIOpen Access PDF

Abstract

In 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged to cause high viral infectivity and severe respiratory illness in humans (COVID-19). Worldwide, limited pandemic mitigation strategies, including lack of diagnostic test availability, resulted in COVID-19 overrunning health systems and spreading throughout the global population. Currently, proximal respiratory tract (PRT) specimens such as nasopharyngeal swabs are used to diagnose COVID-19 because of their relative ease of collection and applicability in large scale screening. However, localization of SARS-CoV-2 in the distal respiratory tract (DRT) is associated with more severe infection and symptoms. Exhaled breath condensate (EBC) is a sample matrix comprising aerosolized droplets originating from alveolar lining fluid that are further diluted in the DRT and then PRT and collected via condensation during tidal breathing. The COVID-19 pandemic has resulted in recent resurgence of interest in EBC collection as an alternative, non-invasive sampling method for the staging and accurate detection of SARS-CoV-2 infections. Herein, we review the potential utility of EBC collection for detection of SARS-CoV-2 and other respiratory infections. While much remains to be discovered in fundamental EBC physiology, pathogen-airway interactions, and optimal sampling protocols, EBC, combined with emerging detection methods, presents a promising non-invasive sample matrix for detection of SARS-CoV-2.

Topics & Concepts

Exhaled breath condensateMedicineRespiratory tractCoronavirus disease 2019 (COVID-19)PandemicRespiratory tract infectionsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Respiratory systemPopulationAirwaySampling (signal processing)Intensive care medicineVirologyAsthmaImmunologyInternal medicineDiseaseEnvironmental healthSurgeryInfectious disease (medical specialty)Computer visionComputer scienceFilter (signal processing)Inhalation and Respiratory Drug DeliveryInfection Control and VentilationAdvanced Chemical Sensor Technologies