System for classifying antibody concentration against severe acute respiratory syndrome coronavirus 2 S1 spike antigen with automatic quick response generation for integration with health passports

Apostolos Apostolakis , Dimitris Barmpakos , Sofia Mavrikou , George Marios Papaionannou , Vasileios Tsekouras , Kyriaki Hatziagapiou , Eleni Koniari , Maroula Tritzali , Athanasios Michos , George P. Chrousos , Christina Kanaka-Gantenbein , Grigoris Kaltsas , Spyridon Kintzios

Exploration of Digital Health Technologies ›› 2024, Vol. 2 ›› Issue (1) : 20 -29.

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Exploration of Digital Health Technologies ›› 2024, Vol. 2 ›› Issue (1) :20 -29. DOI: 10.37349/edht.2024.00008
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System for classifying antibody concentration against severe acute respiratory syndrome coronavirus 2 S1 spike antigen with automatic quick response generation for integration with health passports
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Abstract

Aim: After the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and the realization of mass vaccination against the virus, the availability of a reliable, rapid, and easy-to-use system for registering the individual anti-S1 antibody titer could facilitate the personalized assessment of the need for booster vaccine doses and the reduction of social distancing and other measures.

Methods: The biosensor system is based on immobilized engineered SK-N-SH neuroblastoma cells, bearing the S1 protein, and it can detect immunoglobulin G (IgG) antibodies against the SARS-CoV-2 S1 spike antigen. A disposable electrode strip bearing the engineered mammalian cells is connected to a customized read-out potentiometric device with real-time data transmission to a wireless fidelity (WiFi)-connected smartphone. Blood samples from past-infected individuals and individuals vaccinated against SARS-CoV-2 were used for validation.

Results: In the present study, a smartphone application (app), capable of analyzing data regarding the levels of anti-S1 antibodies in blood is introduced. The app works in conjunction with a portable, ultra-rapid, and sensitive biosensor transmitting real-time measurements to the smartphone. Both historical and current individual data can be encoded by using the app, resulting in a widely accepted quick response (QR) code, which can then be constantly updated to match a person’s status.

Conclusions: This novel system could be utilized for the eventual development of a coronavirus disease 2019 (COVID-19) electronic passport, which could be further employed to improve the population-wide, cross-country surveillance of vaccination efficiency, as well as facilitate the implementation of cross-border digital health services in a user-friendly and secure way.

Keywords

Antibody screening / biosensor / health passport / quick response code / severe acute respiratory syndrome coronavirus 2 / smartphone / surveillance / vaccination

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Apostolos Apostolakis, Dimitris Barmpakos, Sofia Mavrikou, George Marios Papaionannou, Vasileios Tsekouras, Kyriaki Hatziagapiou, Eleni Koniari, Maroula Tritzali, Athanasios Michos, George P. Chrousos, Christina Kanaka-Gantenbein, Grigoris Kaltsas, Spyridon Kintzios. System for classifying antibody concentration against severe acute respiratory syndrome coronavirus 2 S1 spike antigen with automatic quick response generation for integration with health passports. Exploration of Digital Health Technologies, 2024, 2 (1) : 20-29 DOI:10.37349/edht.2024.00008

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