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ATR-FTIR spectrum analysis of plasma samples for rapid identification of recovered COVID-19 individuals.
Karas, Boris Y; Sitnikova, Vera E; Nosenko, Tatiana N; Dedkov, Vladimir G; Arsentieva, Natalia A; Gavrilenko, Natalia V; Moiseev, Ivan S; Totolian, Areg A; Kajava, Andrey V; Uspenskaya, Mayya V.
Afiliação
  • Karas BY; Institute BioEngineering, ITMO University, St. Petersburg, Russia.
  • Sitnikova VE; Institute BioEngineering, ITMO University, St. Petersburg, Russia.
  • Nosenko TN; Institute BioEngineering, ITMO University, St. Petersburg, Russia.
  • Dedkov VG; Saint-Petersburg Pasteur Institute, Federal Service on Consumers' Rights Protection and Human Well-Being Surveillance, St. Petersburg, Russia.
  • Arsentieva NA; Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov First Moscow State Medical University, Moscow, Russia.
  • Gavrilenko NV; Saint-Petersburg Pasteur Institute, Federal Service on Consumers' Rights Protection and Human Well-Being Surveillance, St. Petersburg, Russia.
  • Moiseev IS; Raisa Gorbacheva memorial Research Institute for Pediatric Oncology, Hematology and Transplantation, Pavlov First Saint Petersburg State Medical University, St. Petersburg, Russia.
  • Totolian AA; Raisa Gorbacheva memorial Research Institute for Pediatric Oncology, Hematology and Transplantation, Pavlov First Saint Petersburg State Medical University, St. Petersburg, Russia.
  • Kajava AV; Saint-Petersburg Pasteur Institute, Federal Service on Consumers' Rights Protection and Human Well-Being Surveillance, St. Petersburg, Russia.
  • Uspenskaya MV; Centre de Recherche en Biologie cellulaire de Montpellier, Université Montpellier, Montpellier, France.
J Biophotonics ; 16(7): e202200166, 2023 07.
Article em En | MEDLINE | ID: mdl-36869427
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article