Label-Free Plasmonic Biosensor for Rapid, Quantitative, and Highly Sensitive COVID-19 Serology: Implementation and Clinical Validation
Year: 2021
Type: preprint
Abstract: Serological tests are essential for the control and management of COVID-19 pandemic, not only for current and historical diagnostics but especially for surveillance, epidemiological, and acquired immunity studies. Clinical COVID-19 serology is routinely performed by enzymatic or chemiluminescence immunoassays (i.e., ELISA or CLIA), which provide good sensitivities at the expense of relatively long turnaround times and specialized laboratory settings. Rapid serological tests, based on lateral flow assays, have also been developed and widely commercialized, but they suffer from limited reliability due to relatively low sensitivity and specificity. We have developed and validated a direct serological biosensor assay employing proprietary technology based on Surface Plasmon Resonance (SPR). The biosensor offers a rapid -less than 15 min- identification and quantification of SARS-CoV-2 antibodies directly in clinical samples, without the need of any signal amplification. The portable plasmonic biosensor device employs a custom-designed multi-antigen sensor biochip, combining the two main viral antigens (RBD peptide and N protein), for simultaneous detection of human antibodies targeting both antigens. The SPR serology assay reaches detection limits in the low ng mL-1 range employing polyclonal antibodies as standard, which are well below the commonly detected antibody levels in COVID-19 patients. The assay has also been implemented employing the first WHO approved anti-SARS-CoV-2 immunoglobulin standard. We have carried out a clinical validation with COVID-19 positive and negative samples (n=120) that demonstrates the excellent diagnostic sensitivity (99%) and specificity (100%). This positions our biosensor device as an accurate, robust, and easy-to-use diagnostics tool for rapid and reliable COVID-19 serology to be employed both at laboratory and decentralized settings for the management of COVID-19 patients and for the evaluation of immunological status during vaccination, treatment or in front of emerging variants.
Source: ChemRxiv
Authors: Olalla Calvo-Lozano, MIquel Sierra, Maria Soler, M.-Carmen Estevez, luis Chiscano-camon, Adolfo Ruiz-Sanmartín, Juan Carlos Ruiz-Rodriguez, Ricard Ferrer, Juan José González-López, Juliana Esperalba, Candela fernandez-naval, leticia Bueno, Rubén López-Aladid, Antoni Torres, Laia Fernández-Barat, Sarah Attoumani, Remi Charrel, Bruno Coutard, Laura M. Lechuga
Institutions: Institut Català de Nanociència i Nanotecnologia, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine, Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca, Universitat Autònoma de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Hospital Clínic de Barcelona, Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, Universitat de Barcelona, Inserm, Aix-Marseille Université, Institut de Recherche pour le Développement, Unité des Virus Emergents
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: Centres de Recerca de Catalunya, Institut Català de Nanociència i Nanotecnologia, European Commission, Generalitat de Catalunya, Ministerio de Ciencia e Innovación, Fundació Institut de Recerca Hospital Universitari Vall d’Hebron, Horizon 2020 Framework Programme, Instituto de Salud Carlos III, Agencia Estatal de Investigación, European Social Fund
Awards: G1288213089, G1573420984, G1694499074, G2567209517, G2913093573, Combating 2019-nCoV: Advanced Nanobiosensing platforms for POC global diagnostics and surveillance, G3531243981, G3944635923, European Virus Archive GLOBAL, G4193446334, G426068792, G4333900429, G434337789, G4937468798, G4980280128, Scalable, point-of-care and label free microarray platform for rapid detection of Sepsis, G5278215002, G574523618, G6122222817, G6436741698, G6466088583, G683931746, G7126188449, G847393302, G8824911526
OpenAlex ID: W4237970541
