<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>21(20)</volume><submitter>Gonzalez-Gonzalez E</submitter><pubmed_abstract>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.</pubmed_abstract><journal>Sensors (Basel, Switzerland)</journal><pagination>6785</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8539637</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Automated ELISA On-Chip for the Detection of Anti-SARS-CoV-2 Antibodies.</pubmed_title><pmcid>PMC8539637</pmcid><pubmed_authors>Gonzalez-Gonzalez E</pubmed_authors><pubmed_authors>Soto-Garcia B</pubmed_authors><pubmed_authors>Yee-de Leon JR</pubmed_authors><pubmed_authors>Velarde-Calvillo LP</pubmed_authors><pubmed_authors>Araiz-Hernandez D</pubmed_authors><pubmed_authors>Abarca-Blanco M</pubmed_authors><pubmed_authors>Flores-Contreras EA</pubmed_authors><pubmed_authors>Delgado-Balderas JR</pubmed_authors><pubmed_authors>Yee-de Leon JF</pubmed_authors><pubmed_authors>Garcia-Ramirez R</pubmed_authors><pubmed_authors>Diaz-Armas GG</pubmed_authors><pubmed_authors>Aguilar-Avelar C</pubmed_authors><pubmed_authors>Abarca-Blanco A</pubmed_authors><pubmed_authors>Esparza M</pubmed_authors><pubmed_authors>Rodriguez-Sanchez IP</pubmed_authors></additional><is_claimable>false</is_claimable><name>Automated ELISA On-Chip for the Detection of Anti-SARS-CoV-2 Antibodies.</name><description>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.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Oct</publication><modification>2026-06-15T03:11:36.491Z</modification><creation>2026-06-15T03:08:20.082Z</creation></dates><accession>S-EPMC8539637</accession><cross_references><pubmed>34695998</pubmed><doi>10.3390/s21206785</doi></cross_references></HashMap>