Convergence of Quantum Dot Barcodes with Microfluidics and Signal Processing for Multiplexed High-Throughput Infectious Disease Diagnostics

Through the convergence of nano- and microtechnologies (quantum dots and microfluidics), we have created a diagnostic system capable of multiplexed, high-throughput analysis of infectious agents in human serum samples. We demonstrate, as a proof-of-concept, the ability to detect serum biomarkers of...

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Veröffentlicht in:	Nano letters 2007-09, Vol.7 (9), p.2812-2818
Hauptverfasser:	Klostranec, Jesse M, Xiang, Qing, Farcas, Gabriella A, Lee, Jeongjin A, Rhee, Alex, Lafferty, Erin I, Perrault, Steven D, Kain, Kevin C, Chan, Warren C. W
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Biological and medical sciences Biomarkers - blood Biotechnology Blood Chemical Analysis - instrumentation Blood Chemical Analysis - methods Cross-disciplinary physics: materials science rheology Diagnosis, Computer-Assisted - instrumentation Electronics Exact sciences and technology Fundamental and applied biological sciences. Psychology Human immunodeficiency virus Humans Materials science Methods. Procedures. Technologies Microfluidic Analytical Techniques - instrumentation Microfluidic Analytical Techniques - methods Molecular electronics, nanoelectronics Nanocrystalline materials Nanoscale materials and structures: fabrication and characterization Others Physics Quantum Dots Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Signal Processing, Computer-Assisted - instrumentation Spectrometry, Fluorescence - instrumentation Spectrometry, Fluorescence - methods Systems Integration Various methods and equipments Virus Diseases - blood Virus Diseases - diagnosis
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Beschreibung
Zusammenfassung:	Through the convergence of nano- and microtechnologies (quantum dots and microfluidics), we have created a diagnostic system capable of multiplexed, high-throughput analysis of infectious agents in human serum samples. We demonstrate, as a proof-of-concept, the ability to detect serum biomarkers of the most globally prevalent blood-borne infectious diseases (i.e., hepatitis B, hepatitis C, and HIV) with low sample volume (
ISSN:	1530-6984 1530-6992
DOI:	10.1021/nl071415m