The Post-COVID-19 Era: Interdisciplinary Demands of Contagion Surveillance Mass Spectrometry for Future Pandemics

Chaitanya Giri, Henderson James Cleaves, Markus Meringer and Kuhan Chandru
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Chaitanya Giri: Gateway House: Indian Council for Global Relations, 3rd Floor, Cecil Court, Colaba, Mumbai 400 005, India
Henderson James Cleaves: Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
Markus Meringer: German Aerospace Center (DLR), Department of Atmospheric Processors, Münchener Straße 20, 82234 Oberpfaffenhofen-Wessling, Germany
Kuhan Chandru: Space Science Center (ANGKASA), Institute of Climate Change, Level 3, Research Complex, National University of Malaysia, UKM Bangi 43600, Malaysia

Sustainability, 2021, vol. 13, issue 14, 1-12

Abstract: Mass spectrometry (MS) can become a potentially useful instrument type for aerosol, droplet and fomite (ADF) contagion surveillance in pandemic outbreaks, such as the ongoing SARS-CoV-2 pandemic. However, this will require development of detection protocols and purposing of instrumentation for in situ environmental contagion surveillance. These approaches include: (1) enhancing biomarker detection by pattern recognition and machine learning; (2) the need for investigating viral degradation induced by environmental factors; (3) representing viral molecular data with multidimensional data transforms, such as van Krevelen diagrams, that can be repurposed to detect viable viruses in environmental samples; and (4) absorbing engineering attributes for developing contagion surveillance MS from those used for astrobiology and chemical, biological, radiological, nuclear (CBRN) monitoring applications. Widespread deployment of such an MS-based contagion surveillance could help identify hot zones, create containment perimeters around them and assist in preventing the endemic-to-pandemic progression of contagious diseases.

Keywords: COVID-19; mass spectrometry; aerosols; droplets; fomite; surveillance; machine learning; van Krevelen diagram; viral degradation; astrobiology; CBRN; pandemic (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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