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Sensing of COVID-19 spike protein in nasopharyngeal samples using a portable surface plasmon resonance diagnostic system

Authors :
Hiba Saada
Quentin Pagneux
James Wei
Ludovic Live
Alain Roussel
Alexis Dogliani
Lycia Die Morini
Ilka Engelmann
Enagnon Kazali Alidjinou
Anne Sophie Rolland
Emmanuel Faure
Julien Poissy
Julien Labreuche
Gil Lee
Peng Li
Gerard Curran
Anass Jawhari
Jhonny A. Yunda
Sorin Melinte
Axel Legay
Jean-Luc Gala
David Devos
Rabah Boukherroub
Sabine Szunerits
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)
Université catholique de Lille (UCL)-Université catholique de Lille (UCL)
Affinité Instruments
Laboratoire d'ingénierie des systèmes macromoléculaires (LISM)
Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Pathogenèse virale du diabète de type 1 - ULR 3610 (Laboratoire de Virologie)
Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)
Lille Neurosciences & Cognition - U 1172 (LilNCog)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL)
Institut Pasteur de Lille
Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS)
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS)
Magnostics
Coherent Optical Microscopy and X-rays (COMiX)
Institut FRESNEL (FRESNEL)
Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
Biosensing Diagnostics
Université Catholique de Louvain = Catholic University of Louvain (UCL)
NanoBioInterfaces - IEMN (NBI - IEMN)
Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)
The project is funded by the Horizon 2020 framework programme of the European Union under grant agreement No. 101016038 (CorDial-S). This work was supported by theBelgian F.R.S. – FNRS under Grant No. R.8008.21. Financial support by ANR via CorDial-Flu is in addition acknowledged.
European Project: 101016038,H2020,H2020-SC1-PHE-CORONAVIRUS-2020-2-CNECT, CorDial-S(2020)
IEMN, Collection
Portable and fast surface plasmon resonance point-of-care test for COVID-19 - CorDial-S - - H20202020-12-01 - 2021-11-30 - 101016038 - VALID
UCL - SST/ICTM/ELEN - Pôle en ingénierie électrique
UCL - SSS/IREC/CTMA - Centre de technologies moléculaires appliquées (plate-forme technologique)
Source :
Sensors & Diagnostics, Sensors & Diagnostics, 2022, 1 (5), pp.1021-1031. ⟨10.1039/d2sd00087c⟩, Sensors & Diagnostics, Vol. 1, p. 1021-1031 (2022)
Publication Year :
2022
Publisher :
HAL CCSD, 2022.

Abstract

International audience; Rapid, yet sensitive and accurate testing concepts are critical in the control of spreading diseases. With the COVID-19 pandemic still ongoing, the need for efficient, fast and accurate testing of the infection state of children and the elderly traveling as well as people with symptoms has not declined. Most current methods, which are highly sensitive, are rather slow and cannot be applied at the point of care. While rapid antigenic tests ascertain only high viral burden, here, we demonstrate an alternative, rapid point-of-care diagnostics with the ability to sense low viral loads. The goal of a portable and fast quantitative diagnostic device has been achieved via the use of VHH-72-Fc, a nanobody featuring high binding strength to the spike 1 glycoprotein of the SARS-CoV-2 viral envelope, a surface plasmon resonance sensing approach, and machine learning for predicting the cut-off value between positive and negative nasopharyngeal swab samples. The concept was validated on 119 nasopharyngeal samples, 50 positive and 69 negative, as identified by reverse transcription quantitative polymerase chain reaction (RT-qPCR) tests, showing a 88% positive percentage agreement and a 92% negative percentage agreement, as compared to RT-qPCR. Simple artificial neural network data processing revealed the influence in the sampling time to achieve unique performance in terms of speed, specificity and sensitivity. These sensing features combined with no sample preparation and portability of the diagnostic device suggest that this approach is well-adapted to be operated in hospital or laboratory located diagnostic centres.

Details

Language :
English
ISSN :
26350998
Database :
OpenAIRE
Journal :
Sensors & Diagnostics, Sensors & Diagnostics, 2022, 1 (5), pp.1021-1031. ⟨10.1039/d2sd00087c⟩, Sensors & Diagnostics, Vol. 1, p. 1021-1031 (2022)
Accession number :
edsair.doi.dedup.....baabb49ba219b3f6ed2d6676ceb5dc2d