Bioinspired superhydrophobic SERS substrates for machine learning assisted miRNA detection in complex biomatrix below femtomolar limit.

Zabelina, A; Trelin, A; Skvortsova, A; Zabelin, D; Burtsev, V; Miliutina, E; Svorcik, V; Lyutakov, O

Zabelina, A; Trelin, A; Skvortsova, A; Zabelin, D; Burtsev, V; Miliutina, E; Svorcik, V; Lyutakov, O.

Afiliación

Zabelina A; Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic.
Trelin A; Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic.
Skvortsova A; Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic.
Zabelin D; Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic.
Burtsev V; Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic.
Miliutina E; Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic.
Svorcik V; Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic.
Lyutakov O; Department of Solid State Engineering, University of Chemistry and Technology, 16628, Prague, Czech Republic. Electronic address: lyutakoo@vscht.cz.

Anal Chim Acta ; 1278: 341708, 2023 Oct 16.

Article en En | MEDLINE | ID: mdl-37709451

Asunto(s)

MicroARNs; Espectrometría Raman; Humanos; Animales; Plasma; Biomimética; Aprendizaje Automático

Palabras clave

Analyte self-concentrating; Biomimetic replica; Machine learning; SERS; Superhydrophobic surface; miRNA detection

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Espectrometría Raman / MicroARNs Tipo de estudio: Diagnostic_studies Límite: Animals / Humans Idioma: En Revista: Anal Chim Acta Año: 2023 Tipo del documento: Article País de afiliación: República Checa

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