Tunable and robust long range surface plasmon resonance for biosensor applications

Régis Méjard, Jakub Dostalek, Chun-Jen Huang, Hans Griesser, Benjamin Thierry

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung


A multilayered biosensing architecture based on long range surface plasmons (LRSPs) is reported. LRSPs originate from the coupling of surface plasmons on the opposite sides of a thin metal film embedded in a symmetrical refractive index environment. With respect to regular SPs, LRSPs are characterized by extended electromagnetic field profiles and lower losses, making them of high interest in biosensing, especially for large biological entities. LRSPs-supporting layer structures are typically prepared by using fluoropolymers with refractive indices close to that of water. Unfortunately, fluoropolymers have low surface energies which can translate into poor adhesion to substrates and sub-optimal properties of coatings with surface plasmon resonance-active metal layers such as gold. In this work, a multilayered fluoropolymer structure with tuneable average refractive index is described and used to adjust the penetration depth of LRSP from the sensor surface. The proposed methodology also provides a simple solution to increase the adhesion of LRSP-supporting structures to glass substrates. Towards taking full advantage of long range surface plasmon resonance sensors, a novel approach based on the plasma-polymerization of allylamine is also described to improve the quality of gold layers on fluoropolymers such as Teflon AF. Through these advancements, long range surface plasmon resonance sensors were fabricated with figures of merit as high as 466 RIU−1. The remarkable performance of these sensors combined with their high stability is expected to foster applications of LRSPR in biosensing.
Seiten (von - bis)2507-2513
FachzeitschriftOptical Materials
PublikationsstatusVeröffentlicht - 2013

Research Field

  • Biosensor Technologies


  • Surface plasmon resonance; Long range surface plasmon; Biosensor;


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