Fully-automated and field-deployable blood leukocyte separation platform using multi-dimensional double spiral (MDDS) inertial microfluidics
Name
d0lc00675k.pdf
Description
Published version
Size
4.82 MB
Format
Adobe PDF
Checksum (MD5)
d05405a5ccc414bfceb3cb01df99aca1
Author(s) • • • • • •
Jeon, Hyungkook
Jundi, Bakr
Choi, Kyungyong
Ryu, Hyunryul
Levy, Bruce D.
Lim, Geunbae
Han, Jongyoon
Date Issued
August 2020
Journal
Lab on a Chip
Publisher
Royal Society of Chemistry (RSC)
Citation
Jeon, Hyungkook et al. "Fully-automated and field-deployable blood leukocyte separation platform using multi-dimensional double spiral (MDDS)." Lab on a Chip 20, 19 (August 2020): 3612-3624 © The Royal Society of Chemistry
Version
Final published version
Abstract
A fully-Automated and portable leukocyte separation platform was developed based on a new type of inertial microfluidic device, multi-dimensional double spiral (MDDS) device, as an alternative to centrifugation. By combining key innovations in inertial microfluidic device designs and check-valve-based recirculation processes, highly purified and concentrated WBCs (up to >99.99% RBC removal, ∼80% WBC recovery, >85% WBC purity, and ∼12-fold concentrated WBCs compared to the input sample) were achieved in less than 5 minutes, with high reliability and repeatability (coefficient of variation, CV < 5%). Using this, one can harvest up to 0.4 million of intact WBCs from 50 μL of human peripheral blood (50 μL), without any cell damage or phenotypic changes in a fully-Automated operation. Alternatively, hand-powered operation is demonstrated with comparable separation efficiency and speed, which eliminates the need for electricity altogether for truly field-friendly sample preparation. The proposed platform is therefore highly deployable for various point-of-care applications, including bedside assessment of the host immune response and blood sample processing in resource-limited environments.
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Creative Commons Attribution Noncommercial 3.0 unported license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1039/d0lc00675k