Advances in three dimensional metal enhanced fluorescence based biosensors using metal nanomaterial and nano‐patterned surfaces

Abstract: Metal enhanced fluorescence (MEF) is a phenomenon that increases fluorescence signal through placement of metal near a fluorophore. For biosensing applications, MEF‐based biosensors are becoming increasingly popular as it enables highly sensitive detection of molecules, important for early diagnosis. The structure and size of the metal influence the optical properties through enhancing the fluorophore photostability and light absorption and emission. In recent years, many metal nanostructures have been fabricated and examined for their effectiveness in developing MEF‐based biosensors. This review focuses on the latest applications of three‐dimensional nanostructures and nano‐patterned surfaces used to develop and improve fluorescence sensing via MEF. Current reviews mostly discussed the applications of two dimensional MEF and metal‐nanoparticles‐based MEF with a focus on fabrication of nanoparticles and metal substrates. In this article, we focused more on the effect of the metal nanostructure and size on MEF and then provided an in‐depth summary of the performance of the state‐of‐the‐art three dimensional MEF‐based biosensors. While more work is needed to demonstrate applicability for complex samples, it is evident that with the use of metal nanoparticles and three dimensional nano‐patterns, the assay sensitivity of fluorescence‐based detection can be greatly improved, making it suitable for use in early disease diagnostics.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Advances in three dimensional metal enhanced fluorescence based biosensors using metal nanomaterial and nano‐patterned surfaces ; day:05 ; month:12 ; year:2023 ; extent:16
Biotechnology journal ; (05.12.2023) (gesamt 16)

Urheber
Goodrum, Rebecca
Li, Huiyan

DOI
10.1002/biot.202300519
URN
urn:nbn:de:101:1-2023120614193836273313
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:35 MESZ

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Beteiligte

  • Goodrum, Rebecca
  • Li, Huiyan

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