Publication: Propuesta de un genosensor electroquímico para el diagnóstico del SARS-CoV 2
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2020-09
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Abstract
En el presente Trabajo de Fin de Grado se presenta una revisión bibliográfica de la pandemia mundial de 2020 que dio comienzo a finales de 2019 en China, originada por el SARS-CoV-2. Es un virus comúnmente conocido como coronavirus, pertenece a una de las dos subfamilias de la familia Coronaviridae y afecta al sistema respiratorio del ser humano. En este trabajo se exponen dos tipos de diagnóstico basados en un inmunosensor piezoeléctrico y un genosensor electroquímico, además de los métodos rutinarios empleados en el momento de mayor número de contagios. Así mismo, se propone el diagnóstico mediante un hipotético biosensor que reúne las mejores características de los ensayos citados, tratando de corregir sus deficiencias. El diagnóstico propuesto podría mejorar el tiempo de análisis siendo de gran ayuda para reducir el número de contagios.
This Final Degree Project presents a bibliographic review of the 2020 global pandemic that began in late 2019 in China, originated by SARS-CoV-2. It is a virus commonly known as coronavirus; it belongs to one of the two subfamilies of the Coronaviridae family and affects the human respiratory system. In this work, two types of diagnosis based on a piezoelectric immunosensor and an electrochemical genosensor are presented, in addition to the routine methods used at the time of greatest number of infections. Likewise, the diagnosis is proposed using a hypothetical biosensor that meets the best characteristics of the aforementioned tests, trying to correct its deficiencies. The proposed diagnosis could improve the analysis time being of great help to reduce the number of infections.
This Final Degree Project presents a bibliographic review of the 2020 global pandemic that began in late 2019 in China, originated by SARS-CoV-2. It is a virus commonly known as coronavirus; it belongs to one of the two subfamilies of the Coronaviridae family and affects the human respiratory system. In this work, two types of diagnosis based on a piezoelectric immunosensor and an electrochemical genosensor are presented, in addition to the routine methods used at the time of greatest number of infections. Likewise, the diagnosis is proposed using a hypothetical biosensor that meets the best characteristics of the aforementioned tests, trying to correct its deficiencies. The proposed diagnosis could improve the analysis time being of great help to reduce the number of infections.