Issue 16, 2015

Optical detection enhancement in porous volumetric microfluidic capture elements using refractive index matching fluids

Abstract

Porous volumetric capture elements in microfluidic sensors are advantageous compared to planar capture surfaces due to higher reaction site density and decreased diffusion lengths that can reduce detection limits and total assay time. However a mismatch in refractive indices between the capture matrix and fluid within the porous interstices results in scattering of incident, reflected, or emitted light, significantly reducing the signal for optical detection. Here we demonstrate that perfusion of an index-matching fluid within a porous matrix minimizes scattering, thus enhancing optical signal by enabling the entire capture element volume to be probed. Signal enhancement is demonstrated for both fluorescence and absorbance detection, using porous polymer monoliths in a silica capillary and packed beds of glass beads within thermoplastic microchannels, respectively. Fluorescence signal was improved by a factor of 3.5× when measuring emission from a fluorescent compound attached directly to the polymer monolith, and up to 2.6× for a rapid 10 min direct immunoassay. When combining index matching with a silver enhancement step, a detection limit of 0.1 ng mL−1 human IgG and a 5 log dynamic range was achieved. The demonstrated technique provides a simple method for enhancing optical sensitivity for a wide range of assays, enabling the full benefits of porous detection elements in miniaturized analytical systems to be realized.

Graphical abstract: Optical detection enhancement in porous volumetric microfluidic capture elements using refractive index matching fluids

Article information

Article type
Paper
Submitted
15 May 2015
Accepted
05 Jul 2015
First published
10 Jul 2015

Analyst, 2015,140, 5724-5731

Optical detection enhancement in porous volumetric microfluidic capture elements using refractive index matching fluids

M. S. Wiederoder, L. Peterken, A. X. Lu, O. D. Rahmanian, S. R. Raghavan and D. L. DeVoe, Analyst, 2015, 140, 5724 DOI: 10.1039/C5AN00988J

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