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