Automated ELISA On-Chip for the Detection of Anti-SARS-CoV-2 Antibodies

The COVID-19 pandemic has been the most critical public health issue in modern history 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 a...

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Published inSensors (Basel, Switzerland) Vol. 21; no. 20; p. 6785
Main Authors González-González, Everardo, Garcia-Ramirez, Ricardo, Díaz-Armas, Gladys Guadalupe, Esparza, Miguel, Aguilar-Avelar, Carlos, Flores-Contreras, Elda A, Rodríguez-Sánchez, Irám Pablo, Delgado-Balderas, Jesus Rolando, Soto-García, Brenda, Aráiz-Hernández, Diana, Abarca-Blanco, Marisol, Yee-de León, José R, Velarde-Calvillo, Liza P, Abarca-Blanco, Alejandro, Yee-de León, Juan F
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 13.10.2021
MDPI
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Summary:The COVID-19 pandemic has been the most critical public health issue in modern history 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 described 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 mitigates some of the burden caused by testing deficiencies.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s21206785