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Automated 3D-Printed Microfluidic Array for Rapid Nanomaterial-Enhanced Detection of Multiple Proteins
- Source :
- Analytical Chemistry. 90:7569-7577
- Publication Year :
- 2018
- Publisher :
- American Chemical Society (ACS), 2018.
-
Abstract
- We report here the fabrication and validation of a novel 3D-printed, automated immunoarray to detect multiple proteins with ultralow detection limits. This low cost, miniature immunoarray employs electrochemiluminescent (ECL) detection measured with a CCD camera and employs touch-screen control of a micropump to facilitate automated use. The miniaturized array features prefilled reservoirs to deliver sample and reagents to a paper-thin pyrolytic graphite microwell detection chip to complete sandwich immunoassays. The detection chip achieves high sensitivity by using single-wall carbon nanotube—antibody conjugates in the microwells and employing massively labeled antibody-decorated RuBPY—silica nanoparticles to generate ECL. The total cost of an array is $0.65, and an eight-protein assay can be done in duplicate for $0.14 per protein with limits of detection (LOD) as low as 78–110 fg mL(−1) in diluted serum. The electronic control system costs $210 in components. Utility of the automated immunoarray was demonstrated by detecting an eight-protein prostate cancer biomarker panel in human serum samples in 25 min. The system is well suited to future clinical and point-of-care diagnostic testing and could be used in resource-limited environments.
- Subjects :
- Male
3d printed
Microfluidics
Micropump
Nanotechnology
02 engineering and technology
01 natural sciences
Article
Analytical Chemistry
Nanomaterials
Automation
Cell Line, Tumor
Biomarkers, Tumor
Humans
Detection limit
business.industry
Chemistry
010401 analytical chemistry
Prostatic Neoplasms
Microfluidic Analytical Techniques
021001 nanoscience & nanotechnology
Chip
Nanostructures
Neoplasm Proteins
0104 chemical sciences
Electronic control system
Printing, Three-Dimensional
0210 nano-technology
business
Subjects
Details
- ISSN :
- 15206882 and 00032700
- Volume :
- 90
- Database :
- OpenAIRE
- Journal :
- Analytical Chemistry
- Accession number :
- edsair.doi.dedup.....caefc4864b0de34d255df80766873de2
- Full Text :
- https://doi.org/10.1021/acs.analchem.8b01198