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BioMed Research International
Volume 2013 (2013), Article ID 310461, 8 pages
http://dx.doi.org/10.1155/2013/310461
Research Article

Assessing the Detection Capacity of Microarrays as Bio/Nanosensing Platforms

1Bio/Nano Technology Laboratory, Institute for Nanoscience and Engineering, University of Arkansas, Fayetteville, AR 72701, USA
2Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA
3Graduate Program in Cell and Molecular Biology, University of Arkansas, Fayetteville, AR 72701, USA
4Department of Chemistry, Seoul National University, Seoul 151-747, Republic of Korea
5Department of Statistical Science, Baylor University, Waco, TX 76798, USA
6Department of Electrical and Computer Engineering, University of Memphis, Memphis, TN 38152, USA

Received 17 July 2013; Accepted 19 September 2013

Academic Editor: Zhenqiang Su

Copyright © 2013 Ju Seok Lee et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Microarray is one of the most powerful detection systems with multiplexing and high throughput capability. It has significant potential as a versatile biosensing platform for environmental monitoring, pathogen detection, medical therapeutics, and drug screening to name a few. To date, however, microarray applications are still limited to preliminary screening of genome-scale transcription profiling or gene ontology analysis. Expanding the utility of microarrays as a detection tool for various biological and biomedical applications requires information about performance such as the limits of detection and quantification, which are considered as an essential information to decide the detection sensitivity of sensing devices. Here we present a calibration design that integrates detection limit theory and linear dynamic range to obtain a performance index of microarray detection platform using oligonucleotide arrays as a model system. Two different types of limits of detection and quantification are proposed by the prediction or tolerance interval for two common cyanine fluorescence dyes, Cy3 and Cy5. Besides oligonucleotide, the proposed method can be generalized to other microarray formats with various biomolecules such as complementary DNA, protein, peptide, carbohydrate, tissue, or other small biomolecules. Also, it can be easily applied to other fluorescence dyes for further dye chemistry improvement.