Sensing Biomolecular Interactions by the Luminescence of a Planar Gold Film.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
17 12 2019
Historique:
pubmed: 23 11 2019
medline: 22 10 2020
entrez: 23 11 2019
Statut: ppublish

Résumé

We describe the operating principle and performance of a recently developed surface plasmon-enhanced optical sensor that utilizes two-photon excited luminescence of a planar gold film as the reporter signal. The sensor enables direct visualization of nanoscopic binding events near a sensing surface. Light is coupled to the Au/sample interface in an objective-based Kretschmann configuration to excite surface plasmon polariton (SPP) modes at a metal-dielectric interface. The gold luminescence induced by the confined optical field between the particle and the film is detected in the epi-direction by a far-field camera where individual binding events show up as diffraction limited bright spots against a dark background. We study the sensor's emission spectrum and the distance dependence between the target and substrate, which both suggest that the optical signal of the sensor originates from electron-hole pair excitations in the planar Au film. In addition, we show that the well-behaved pointspread function of the sensor enables a straightforward implementation of super-resolution techniques. Finally, we demonstrate the utility of the sensor for detecting DNA binding events, underlining the sensor's usefulness for label-free imaging of nanoscopic particles and biomolecular interactions.

Identifiants

pubmed: 31755696
doi: 10.1021/acs.analchem.9b04335
doi:

Substances chimiques

Rhodamines 0
rhodamine 6G 037VRW83CF
Gold 7440-57-5
DNA 9007-49-2

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

15883-15889

Auteurs

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
Humans Magnetic Resonance Imaging Phantoms, Imaging Infant, Newborn Signal-To-Noise Ratio
Humans Hyaluronic Acid Osteoarthritis, Hip Female Middle Aged
1.00
Humans Magnetic Resonance Imaging Brain Infant, Newborn Infant, Premature

Classifications MeSH