A methodological study for the diagnosis of the SARS-Cov-2 infection in human serum with a macrocyclic sensor array-Reference-Cited by-同舟云学术

A methodological study for the diagnosis of the SARS-Cov-2 infection in human serum with a macrocyclic sensor array

Published:2024 Issue:5 Volume:3 Page:863-871
ISSN:2635-0998
Container-title:Sensors & Diagnostics
language:en
Short-container-title:Sens. Diagn.

Author:

Bosco Monica Swetha¹²,Topçu Zeki³,Pradhan Soumen⁴⁵,Sossah Ariadne¹,Tsatsaris Vassilis¹⁶,Vauloup-Fellous Christelle⁷,Agasti Sarit S.⁴⁵^ORCID,Rozenholc Yves³,Gagey-Eilstein Nathalie¹²^ORCID

Affiliation:

1. Université Paris Cité, INSERM UMR-S 1139, FHU PREMA, 4 Avenue de l'Observatoire, 75006 Paris, France

2. Université Paris Cité, CNRS, INSERM, UTCBS, 4 Avenue de l'Observatoire, 75006 Paris, France

3. UR 7537, BioSTM, Université Paris Cité, 4 Avenue de l'Observatoire, 75006 Paris, France

4. New Chemistry Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India

5. Chemistry & Physics of Materials Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India

6. Department of Obstetric, Cochin Hospital, AP-HP, Université Paris Cité, FHU PREMA, 123 Bd Port-Royal, 75014 Paris, France

7. Virology Laboratory, Hôpital Paul-Brousse, AP-HP, Université Paris-Saclay, INSERM U1193, Villejuif, France

Abstract

With a case-control cohort of COVID samples, this study proposes a methodology to use a hypothesis-free sensor array strategy for classifying clinical samples. The protocol includes the design of experiments, data extraction, treatment and analysis.

Funder

Agence Nationale de la Recherche

Science and Engineering Research Board

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/SD/D4SD00009A

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