Giri, Chaitanya und Cleaves, H. James und Meringer, Markus und Chandru, Kuhan (2021) The Post-COVID-19 Era: Interdisciplinary Demands of Contagion Surveillance Mass Spectrometry for Future Pandemics. Sustainability, 13 (14), 7614_01-7614_12. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/su13147614. ISSN 2071-1050.
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Offizielle URL: https://www.mdpi.com/2071-1050/13/14/7614
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/143436/ | ||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||
Zusätzliche Informationen: | Article number: 7614 | ||||||||||||||||||||
Titel: | The Post-COVID-19 Era: Interdisciplinary Demands of Contagion Surveillance Mass Spectrometry for Future Pandemics | ||||||||||||||||||||
Autoren: |
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Datum: | 7 Juli 2021 | ||||||||||||||||||||
Erschienen in: | Sustainability | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||
Band: | 13 | ||||||||||||||||||||
DOI: | 10.3390/su13147614 | ||||||||||||||||||||
Seitenbereich: | 7614_01-7614_12 | ||||||||||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||
ISSN: | 2071-1050 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | COVID-19; mass spectrometry; aerosols; droplets; fomite; surveillance; machine learning; van Krevelen diagram; viral degradation; astrobiology; CBRN; pandemic | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Künstliche Intelligenz | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Atmosphärenprozessoren | ||||||||||||||||||||
Hinterlegt von: | Meringer, Dr.rer.nat. Markus | ||||||||||||||||||||
Hinterlegt am: | 06 Aug 2021 11:05 | ||||||||||||||||||||
Letzte Änderung: | 09 Aug 2021 12:54 |
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