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• Jin, S
• Lee, S
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Sensors 2009, 9(4), 2334-2344; doi:10.3390/s90402334

Article

Detection of Biomolecular Binding Through Enhancement of Localized Surface Plasmon Resonance (LSPR) by Gold Nanoparticles

Hyung Min Kim ¹ , Seung Min Jin ¹ , Seok Kee Lee ² , Min-Gon Kim ²  and Yong-Beom Shin ^2,*

¹ Fusion Biotechnology Research Center, KRICT, Daejeon 305-600, Republic of Korea ² BioMonitoring Research Center, Korea Research Institute of Bioscience and Biotechnology, Yusong-gu, Daejeon, 305–333, Korea

* Author to whom correspondence should be addressed.

Received: 13 March 2009; in revised form: 23 March 2009 / Accepted: 30 March 2009 / Published: 30 March 2009

(This article belongs to the Special Issue Nanotechnological Advances in Biosensors)

Download PDF Full-Text [702 KB, uploaded 30 March 2009 13:11 CEST]

Abstract: To amplify the difference in localized surface plasmon resonance (LSPR) spectra of gold nano-islands due to intermolecular binding events, gold nanoparticles were used. LSPR-based optical biosensors consisting of gold nano-islands were readily made on glass substrates using evaporation and heat treatment. Streptavidin (STA) and biotinylated bovine serum albumin (Bio-BSA) were chosen as the model receptor and the model analyte, respectively, to demonstrate the effectiveness of this detection method. Using this model system, we were able to enhance the sensitivity in monitoring the binding of Bio-BSA to gold nano-island surfaces functionalized with STA through the addition of gold nanoparticle-STA conjugates. In addition, SU-8 well chips with gold nano-island surfaces were fabricated through a conventional UV patterning method and were then utilized for image detection using the attenuated total reflection mode. These results suggest that the gold nano-island well chip may have the potential to be used for multiple and simultaneous detection of various bio-substances.

Keywords: Localized surface plasmon resonance (LSPR); gold nano-island; gold nanoparticle; attenuated total reflection (ATR); well chip

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