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

Autor: Liza P. Velarde-Calvillo, Carlos Aguilar-Avelar, Iram P. Rodriguez-Sanchez, Ricardo Garcia-Ramirez, Alejandro Abarca-Blanco, Miguel Esparza, Marisol Abarca-Blanco, Diana Aráiz-Hernández, Gladys Guadalupe Díaz-Armas, Brenda Soto-García, Juan F. Yee-de León, Jesús Rolando Delgado-Balderas, Everardo González-González, Elda A. Flores-Contreras, José R. Yee-de León
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 6785, p 6785 (2021)
ISSN: 1424-8220
Popis: 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.
Databáze: OpenAIRE