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Issue 21, 2011
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Monitoring protein distributions based on patterns generated by proteinadsorption behavior in a microfluidic channel

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Abstract

We report a unique monitoring technique of protein distributions based on distinctive patterns generated by protein adsorption behavior on a solid surface in a microfluidic channel. Bare gold and COOH-modified self-assembled monolayer (SAM) sensing surfaces were pre-adsorbed with one of four different proteins: lysozyme, albumin, transferrin, or IgG. Each surface provides a thermodynamically governed platform for immobilizing proteins and generates analyte-specific response patterns. Each surface has its own thermodynamic energy governing pre-adsorbed protein behaviors, so that sample proteins react with the pre-adsorbed ones to different extents depending on their sizes, isoelectric points (pI), and characteristics of the sensing surfaces. Modified surfaces were mounted and monitored in real time using surface plasmon resonance (SPR). Buffer-prepared sample matrices (α1-antitrypsin, haptoglobin, C-reactive protein (CRP), and IgM) characterized protein response patterns. Each surface generated distinctive patterns based on individual SPR angle shifts. We classified each sample with 95% accuracy using linear discriminant analysis (LDA). Our method also discriminated between different concentrations of CRP in the cocktail sample, detecting concentrations as low as 1 nM with 91.7% accuracy. This technique may be integrated with a microfluidic lab-on-a-chip system and monitor the distribution of a specific group of proteins in human serum.

Graphical abstract: Monitoring protein distributions based on patterns generated by protein adsorption behavior in a microfluidic channel

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Supplementary files

Article information


Submitted
24 Jul 2011
Accepted
30 Aug 2011
First published
16 Sep 2011

Lab Chip, 2011,11, 3681-3688
Article type
Paper

Monitoring protein distributions based on patterns generated by protein adsorption behavior in a microfluidic channel

S. Choi, S. Huang, J. Li and J. Chae, Lab Chip, 2011, 11, 3681
DOI: 10.1039/C1LC20680J

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