{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T06:13:35Z","timestamp":1784960015983,"version":"3.55.0"},"reference-count":57,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2023,3,27]],"date-time":"2023-03-27T00:00:00Z","timestamp":1679875200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Biophotonics"],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The development of fast, cheap and reliable methods to determine seroconversion against infectious agents is of great practical importance. In the context of the COVID\u201019 pandemic, an important issue is to study the rate of formation of the immune layer in the population of different regions, as well as the study of the formation of post\u2010vaccination immunity in individuals after vaccination. Currently, the main method for this kind of research is enzyme immunoassay (ELISA, enzyme\u2010linked immunosorbent assay). This technique is sufficiently sensitive and specific, but it requires significant time and material costs. We investigated the applicability of attenuated total reflection (ATR) Fourier transform infrared (FTIR) spectroscopy associated with machine learning in blood plasma to detect seroconversion against SARS\u2010CoV\u20102. The study included samples of 60 patients. Clear spectral differences in plasma samples from recovered COVID\u201019 patients and conditionally healthy donors were identified using multivariate and statistical analysis. The results showed that ATR\u2010FTIR spectroscopy, combined with principal components analysis (PCA) and linear discriminant analysis (LDA) or artificial neural network (ANN), made it possible to efficiently identify specimens from recovered COVID\u201019 patients. We built classification models based on PCA associated with LDA and ANN. Our analysis led to 87% accuracy for PCA\u2010LDA model and 91% accuracy for ANN, respectively. Based on this proof\u2010of\u2010concept study, we believe this method could offer a simple, label\u2010free, cost\u2010effective tool for detecting seroconversion against SARS\u2010CoV\u20102. This approach could be used as an alternative to ELISA.<jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/jbio202200166-gra-0001.png\" xlink:title=\"image\"\/><\/jats:p>","DOI":"10.1002\/jbio.202200166","type":"journal-article","created":{"date-parts":[[2023,3,4]],"date-time":"2023-03-04T05:11:05Z","timestamp":1677906665000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["<scp>ATR\u2010FTIR<\/scp> spectrum analysis of plasma samples for rapid identification of recovered <scp>COVID<\/scp>\u201019 individuals"],"prefix":"10.1002","volume":"16","author":[{"given":"Boris Y.","family":"Karas","sequence":"first","affiliation":[{"name":"Institute BioEngineering ITMO University  St. Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4753-976X","authenticated-orcid":false,"given":"Vera E.","family":"Sitnikova","sequence":"additional","affiliation":[{"name":"Institute BioEngineering ITMO University  St. Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4159-133X","authenticated-orcid":false,"given":"Tatiana N.","family":"Nosenko","sequence":"additional","affiliation":[{"name":"Institute BioEngineering ITMO University  St. Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5500-0169","authenticated-orcid":false,"given":"Vladimir G.","family":"Dedkov","sequence":"additional","affiliation":[{"name":"Saint\u2010Petersburg Pasteur Institute Federal Service on Consumers\u2019 Rights Protection and Human Well\u2010Being Surveillance  St. Petersburg Russia"},{"name":"Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases Sechenov First Moscow State Medical University  Moscow Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2490-308X","authenticated-orcid":false,"given":"Natalia A.","family":"Arsentieva","sequence":"additional","affiliation":[{"name":"Saint\u2010Petersburg Pasteur Institute Federal Service on Consumers\u2019 Rights Protection and Human Well\u2010Being Surveillance  St. Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Natalia V.","family":"Gavrilenko","sequence":"additional","affiliation":[{"name":"Raisa Gorbacheva memorial Research Institute for Pediatric Oncology, Hematology and Transplantation Pavlov First Saint Petersburg State Medical University  St. Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4332-0114","authenticated-orcid":false,"given":"Ivan S.","family":"Moiseev","sequence":"additional","affiliation":[{"name":"Raisa Gorbacheva memorial Research Institute for Pediatric Oncology, Hematology and Transplantation Pavlov First Saint Petersburg State Medical University  St. Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4571-8799","authenticated-orcid":false,"given":"Areg A.","family":"Totolian","sequence":"additional","affiliation":[{"name":"Saint\u2010Petersburg Pasteur Institute Federal Service on Consumers\u2019 Rights Protection and Human Well\u2010Being Surveillance  St. Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2342-6886","authenticated-orcid":false,"given":"Andrey V.","family":"Kajava","sequence":"additional","affiliation":[{"name":"Centre de Recherche en Biologie cellulaire de Montpellier Universit\u00e9 Montpellier  Montpellier France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2510-2639","authenticated-orcid":false,"given":"Mayya V.","family":"Uspenskaya","sequence":"additional","affiliation":[{"name":"Institute BioEngineering ITMO University  St. Petersburg Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,3,27]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"(Website) Author Short description or title URL (accessed Month Year)."},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2020.3313"},{"key":"e_1_2_9_4_1","first-page":"1061","volume":"323","author":"Wang D.","year":"2020","journal-title":"JAMA Intern. 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