A microfluidic platform for precision small-volume sample processing and its use to size separate biological particles with an acoustic microdevice [Precision size separation of biological particles in small-volume samples by an acoustic microfluidic system]
Abstract
Here, a major advantage of microfluidic devices is the ability to manipulate small sample volumes, thus reducing reagent waste and preserving precious sample. However, to achieve robust sample manipulation it is necessary to address device integration with the macroscale environment. To realize repeatable, sensitive particle separation with microfluidic devices, this protocol presents a complete automated and integrated microfluidic platform that enables precise processing of 0.15–1.5 ml samples using microfluidic devices. Important aspects of this system include modular device layout and robust fixtures resulting in reliable and flexible world to chip connections, and fully-automated fluid handling which accomplishes closed-loop sample collection, system cleaning and priming steps to ensure repeatable operation. Different microfluidic devices can be used interchangeably with this architecture. Here we incorporate an acoustofluidic device, detail its characterization, performance optimization, and demonstrate its use for size-separation of biological samples. By using real-time feedback during separation experiments, sample collection is optimized to conserve and concentrate sample. Although requiring the integration of multiple pieces of equipment, advantages of this architecture include the ability to process unknown samples with no additional system optimization, ease of device replacement, and precise, robust sample processing.
- Authors:
-
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Materials Engineering Div.; Boston Univ., Boston, MA (United States). Dept. of Biomedical Engineering
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Materials Engineering Div.
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1305859
- Report Number(s):
- LLNL-JRNL-665235
Journal ID: ISSN 1940-087X
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Visualized Experiments
- Additional Journal Information:
- Journal Issue: 105; Related Information: Journal site has video as well; Journal ID: ISSN 1940-087X
- Publisher:
- MyJoVE Corp.
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; 42 ENGINEERING; microfluidics; lab on a chip; cell separation; acoustophoresis; lab automation; microfabrication; MEMS; LabVIEW
Citation Formats
Fong, Erika J., Huang, Chao, Hamilton, Julie, Benett, William J., Bora, Mihail, Burklund, Alison, Metz, Thomas R., and Shusteff, Maxim. A microfluidic platform for precision small-volume sample processing and its use to size separate biological particles with an acoustic microdevice [Precision size separation of biological particles in small-volume samples by an acoustic microfluidic system]. United States: N. p., 2015.
Web. doi:10.3791/53051.
Fong, Erika J., Huang, Chao, Hamilton, Julie, Benett, William J., Bora, Mihail, Burklund, Alison, Metz, Thomas R., & Shusteff, Maxim. A microfluidic platform for precision small-volume sample processing and its use to size separate biological particles with an acoustic microdevice [Precision size separation of biological particles in small-volume samples by an acoustic microfluidic system]. United States. https://doi.org/10.3791/53051
Fong, Erika J., Huang, Chao, Hamilton, Julie, Benett, William J., Bora, Mihail, Burklund, Alison, Metz, Thomas R., and Shusteff, Maxim. Mon .
"A microfluidic platform for precision small-volume sample processing and its use to size separate biological particles with an acoustic microdevice [Precision size separation of biological particles in small-volume samples by an acoustic microfluidic system]". United States. https://doi.org/10.3791/53051. https://www.osti.gov/servlets/purl/1305859.
@article{osti_1305859,
title = {A microfluidic platform for precision small-volume sample processing and its use to size separate biological particles with an acoustic microdevice [Precision size separation of biological particles in small-volume samples by an acoustic microfluidic system]},
author = {Fong, Erika J. and Huang, Chao and Hamilton, Julie and Benett, William J. and Bora, Mihail and Burklund, Alison and Metz, Thomas R. and Shusteff, Maxim},
abstractNote = {Here, a major advantage of microfluidic devices is the ability to manipulate small sample volumes, thus reducing reagent waste and preserving precious sample. However, to achieve robust sample manipulation it is necessary to address device integration with the macroscale environment. To realize repeatable, sensitive particle separation with microfluidic devices, this protocol presents a complete automated and integrated microfluidic platform that enables precise processing of 0.15–1.5 ml samples using microfluidic devices. Important aspects of this system include modular device layout and robust fixtures resulting in reliable and flexible world to chip connections, and fully-automated fluid handling which accomplishes closed-loop sample collection, system cleaning and priming steps to ensure repeatable operation. Different microfluidic devices can be used interchangeably with this architecture. Here we incorporate an acoustofluidic device, detail its characterization, performance optimization, and demonstrate its use for size-separation of biological samples. By using real-time feedback during separation experiments, sample collection is optimized to conserve and concentrate sample. Although requiring the integration of multiple pieces of equipment, advantages of this architecture include the ability to process unknown samples with no additional system optimization, ease of device replacement, and precise, robust sample processing.},
doi = {10.3791/53051},
journal = {Journal of Visualized Experiments},
number = 105,
volume = ,
place = {United States},
year = {2015},
month = {11}
}