Document Detail

Hydrodynamic resettability for a microfluidic particulate-based arraying system.
MedLine Citation:
PMID:  23042508     Owner:  NLM     Status:  Publisher    
Precision hydrodynamic controls of microparticles (e.g., microbeads and cells) are critical to diverse lab-on-a-chip applications. Microfluidic particulate-based arraying techniques are widely used; however, achieving full microarray resettability without sacrificing trapping performance has remained a significant challenge. Here we present a single-layer hydrodynamic methodology for releasing high numbers of microparticles after a microfluidic arraying process. Experiments with suspended streptavidin-coated polystyrene microbeads (15 μm in diameter) revealed resetting efficiencies of 100%, with trapping and loading efficiencies of 99% and 99.8%, respectively. Experiments with suspended endothelial cells (13-17 μm in diameter) revealed trapping efficiencies of 65% and 93% corresponding to arraying of one cell or at least one cell per trap, respectively, with loading efficiencies of 78%. Full cell-based resettability was also observed, with the caveat that reagents that promote cellular detachment from the substrate were required. The presented resettable microarray could be readily integrated into bead-based or cell-based microfluidic platforms to enable: (i) the retrieval of high numbers of microparticles (e.g., for subsequent analyses and/or use in additional experiments), and (ii) microarray reusability.
Ryan D Sochol; Megan E Dueck; Song Li; Luke P Lee; Liwei Lin
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-10-8
Journal Detail:
Title:  Lab on a chip     Volume:  -     ISSN:  1473-0189     ISO Abbreviation:  Lab Chip     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-8     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101128948     Medline TA:  Lab Chip     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Department of Mechanical Engineering, University of California, Berkeley, USA.
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