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• W3189121506 abstract "Abstract The COVID-19 pandemic has been the most critical public health issue in modern his-tory due to its highly infectious and deathly potential; and the limited access to massive, low-cost, and reliable testing has significantly worsened the crisis. The recovery and the vaccination of millions of people against COVID-19, have made serological tests highly relevant to identify the presence and levels of SARS-CoV-2 antibodies. Due to its advantages, microfluidic-based technologies represent an attractive alternative to the conventional testing methodologies used for these purposes. In this work, we describe the development of an automated ELISA on-chip capable of detecting anti-SARS-CoV-2 antibodies in serum samples from COVID-19 patients and vaccinated individuals. The colorimetric reactions were analyzed with a microplate reader. No statistically significant differences were observed when comparing the results of our automated ELISA on-chip against the ones obtained from a traditional ELISA on a microplate. Moreover, we demonstrated that it is possible to carry out the analysis of the colorimetric reaction by performing basic image analysis of photos taken with a smartphone, which constitutes a useful alternative when lacking specialized equipment or a laboratory setting. Our automated ELISA on-chip has the potential to be used in a clinical setting and mitigate some of the burden caused by testing deficiencies." @default.
• W3189121506 created "2021-08-16" @default.
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• W3189121506 date "2021-08-08" @default.
• W3189121506 modified "2023-10-17" @default.
• W3189121506 title "Automated ELISA on-chip for the detection of anti-SARS-CoV-2 antibodies" @default.
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• W3189121506 doi "https://doi.org/10.1101/2021.08.05.21261664" @default.
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