Diagnosis of COVID-19 and innovative alternative methods based on optic fiber immunosensor
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Redalyc
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| Format: | Artículo científico |
| Language: | en |
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Universidad del Valle
2021
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| _version_ | 1876435178043211776 |
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| author | María J. Nieto-Callejas |
| author_facet | María J. Nieto-Callejas |
| contents | Diagnosis of COVID-19 and innovative alternative methods based on optic fiber immunosensor María J. Nieto-Callejas Walter D. Cardona-Maya César A. Isaza-Merino Yamile Cardona-Maya Ingeniería 19 COVID Medicine Biosensor Clinical Diagnostics This work shows a world overview of COVID-19 diagnostic methods, analyzing their effectiveness and sensitivity. With a special emphasis on biosensors, specifically, those that are based on fiber-optic technology, simply explaining their operation and their ability to detect virus as SARS-CoV-2. With these technological advances, the clinical diagnosis will be made faster, cheaper, and applied to patients in remote places where there are no hospitals or clinical laboratories, either due to poverty, geographic difficulties, or violence, factors found in Colombia. 2021 artículo científico 0123-3033 https://www.redalyc.org/articulo.oa?id=291368646018 https://www.redalyc.org/journal/2913/291368646018/ https://www.redalyc.org/journal/2913/291368646018/html/ https://www.redalyc.org/journal/2913/291368646018/291368646018.epub https://www.redalyc.org/journal/2913/291368646018/movil 10.25100/iyc.v23i2.10484 en http://www.redalyc.org/revista.oa?id=2913 Ingeniería y Competitividad application/pdf Universidad del Valle Ingeniería y Competitividad (Colombia) Num.2 Vol.23 |
| format | Artículo científico |
| id | redalyc_291368646018 |
| institution | Redalyc |
| language | en |
| publishDate | 2021 |
| publisher | Universidad del Valle |
| spellingShingle | Diagnosis of COVID-19 and innovative alternative methods based on optic fiber immunosensor María J. Nieto-Callejas Ingeniería 19 COVID Medicine Biosensor Clinical Diagnostics Diagnosis of COVID-19 and innovative alternative methods based on optic fiber immunosensor María J. Nieto-Callejas Walter D. Cardona-Maya César A. Isaza-Merino Yamile Cardona-Maya Ingeniería 19 COVID Medicine Biosensor Clinical Diagnostics This work shows a world overview of COVID-19 diagnostic methods, analyzing their effectiveness and sensitivity. With a special emphasis on biosensors, specifically, those that are based on fiber-optic technology, simply explaining their operation and their ability to detect virus as SARS-CoV-2. With these technological advances, the clinical diagnosis will be made faster, cheaper, and applied to patients in remote places where there are no hospitals or clinical laboratories, either due to poverty, geographic difficulties, or violence, factors found in Colombia. 2021 artículo científico 0123-3033 https://www.redalyc.org/articulo.oa?id=291368646018 https://www.redalyc.org/journal/2913/291368646018/ https://www.redalyc.org/journal/2913/291368646018/html/ https://www.redalyc.org/journal/2913/291368646018/291368646018.epub https://www.redalyc.org/journal/2913/291368646018/movil 10.25100/iyc.v23i2.10484 en http://www.redalyc.org/revista.oa?id=2913 Ingeniería y Competitividad application/pdf Universidad del Valle Ingeniería y Competitividad (Colombia) Num.2 Vol.23 |
| title | Diagnosis of COVID-19 and innovative alternative methods based on optic fiber immunosensor |
| topic | Ingeniería 19 COVID Medicine Biosensor Clinical Diagnostics |
| url | https://www.redalyc.org/articulo.oa?id=291368646018 https://www.redalyc.org/journal/2913/291368646018/ https://www.redalyc.org/journal/2913/291368646018/html/ https://www.redalyc.org/journal/2913/291368646018/291368646018.epub https://www.redalyc.org/journal/2913/291368646018/movil |