Your browser doesn't support javascript.
loading
Plasmon-Enhanced Digital Fluoroimmunoassay for Subfemtomolar Detection of Protein Biomarkers.
Seth, Anushree; Liu, Yuxiong; Gupta, Rohit; Wang, Zheyu; Mittal, Ekansh; Kolla, Samhitha; Rathi, Priya; Gupta, Prashant; Parikh, Bijal A; Genin, Guy M; Gandra, Sumanth; Storch, Gregory A; Philips, Jennifer A; George, Ige A; Singamaneni, Srikanth.
Afiliação
  • Seth A; Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
  • Liu Y; Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
  • Gupta R; Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
  • Wang Z; Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
  • Mittal E; Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri 63130, United States.
  • Kolla S; Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63130, United States.
  • Rathi P; Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
  • Gupta P; Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
  • Parikh BA; Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
  • Genin GM; Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, Missouri 63110, United States.
  • Gandra S; Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
  • Storch GA; Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63130, United States.
  • Philips JA; Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri 63110, United States.
  • George IA; Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri 63130, United States.
  • Singamaneni S; Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63130, United States.
Nano Lett ; 24(1): 229-237, 2024 Jan 10.
Article em En | MEDLINE | ID: mdl-38146928
ABSTRACT
Rapid and accurate quantification of low-abundance protein biomarkers in biofluids can transform the diagnosis of a range of pathologies, including infectious diseases. Here, we harness ultrabright plasmonic fluors as "digital nanolabels" and demonstrate the detection and quantification of subfemtomolar concentrations of human IL-6 and SARS-CoV-2 alpha and variant proteins in clinical nasopharyngeal swab and saliva samples from COVID-19 patients. The resulting digital plasmonic fluor-linked immunosorbent assay (digital p-FLISA) enables detection of SARS-CoV-2 nucleocapsid protein, both in solution and in live virions. Digital p-FLISA outperforms the "gold standard" enzyme-linked immunosorbent assay (ELISA), having a nearly 7000-fold lower limit-of-detection, and outperforms a commercial antigen test, having over 5000-fold improvement in analytical sensitivity. Detection and quantification of very low concentrations of target proteins holds potential for early detection of pathological conditions, treatment monitoring, and personalized medicine.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article