Silicon Nanopillars As a Platform for Enhanced Fluorescence Analysis

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• 作者：Michael Kandziolka ; Jennifer J. Charlton ; Ivan I. Kravchenko ; James A. Bradshaw ; Igor A. Merkulov ; Michael J. Sepaniak ; Nickolay V. Lavrik
• 刊名：Analytical Chemistry
• 出版年：2013
• 出版时间：October 1, 2013
• 年：2013
• 卷：85
• 期：19
• 页码：9031-9038
• 全文大小：458K
• 年卷期：v.85,no.19(October 1, 2013)
• ISSN：1520-6882

文摘

The importance of fluorescent detection in many fields is well established. While advancements in instrumentation and the development of brighter fluorophore have increased sensitivity and lowered the detection limits of the method, additional gains can be made by manipulating the local electromagnetic field. Herein we take advantage of silicon nanopillars that exhibit optical resonances and field enhancement on their surfaces and demonstrate their potential in improving performance of biomolecular fluorescent assays. We use electron beam lithography and wafer scale processes to create silicon nanoscale pillars with dimensions that can be tuned to maximize fluorescence enhancement in a particular spectral region. Performance of the nanopillar based fluorescent assay was quantified using two model bioaffinity systems (biotin-streptavidin and immunoglobulin G-antibody) as well as covalent binding of fluorescently tagged bovine serum albumin (BSA). The effects of pillar geometry and number of pillars in arrays were evaluated. Color specific and pillar diameter dependent enhancement of fluorescent signals is clearly demonstrated using green and red labels (FITC, DyLight 488, Alexa 568, and Alexa 596). The ratios of the on pillar to off pillar signals normalized by the nominal increase in surface area due to nanopillars were found to be 43, 75, and 292 for the IgG-antibody assay, streptavidin-biotin system, and covalently attached BSA, respectively. Applicability of the presented approaches to the detection of small numbers of molecules was evaluated using highly diluted labeled proteins and also control experiments without biospecific analytes. Our analysis indicates that detection of fewer than 10 tagged proteins is possible.