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Title: A Centrifugal Microfluidic Platform That Separates Whole Blood Samples into Multiple Removable Fractions Due to Several Discrete but Continuous Density Gradient Sections

We present a miniaturized centrifugal platform that uses density centrifugation for separation and analysis of biological components in small volume samples (~5 μL). We demonstrate the ability to enrich leukocytes for on-disk visualization via microscopy, as well as recovery of viable cells from each of the gradient partitions. In addition, we simplified the traditional Modified Wright-Giemsa staining by decreasing the time, volume, and expertise involved in the procedure. From a whole blood sample, we were able to extract 95.15% of leukocytes while excluding 99.8% of red blood cells. Furthermore, this platform has great potential in both medical diagnostics and research applications as it offers a simpler, automated, and inexpensive method for biological sample separation, analysis, and downstream culturing.
Authors:
 [1] ;  [2] ;  [1]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States); Univ. of Texas Medical Branch, Galveston, TX (United States)
  2. Univ. of Texas Medical Branch, Galveston, TX (United States)
Publication Date:
Grant/Contract Number:
AC04-94AL85000; R01AI0988530
Type:
Accepted Manuscript
Journal Name:
PLoS ONE
Additional Journal Information:
Journal Volume: 11; Journal Issue: 4; Journal ID: ISSN 1932-6203
Publisher:
Public Library of Science
Research Org:
Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; blood; centrifugation; density gradient centrifugation; white blood cells; Wright-Giemsa staining; cell staining; microfluidics; red blood cells
OSTI Identifier:
1261101
Alternate Identifier(s):
OSTI ID: 1266254

Moen, Scott T., Hatcher, Christopher L., and Singh, Anup K.. A Centrifugal Microfluidic Platform That Separates Whole Blood Samples into Multiple Removable Fractions Due to Several Discrete but Continuous Density Gradient Sections. United States: N. p., Web. doi:10.1371/journal.pone.0153137.
Moen, Scott T., Hatcher, Christopher L., & Singh, Anup K.. A Centrifugal Microfluidic Platform That Separates Whole Blood Samples into Multiple Removable Fractions Due to Several Discrete but Continuous Density Gradient Sections. United States. doi:10.1371/journal.pone.0153137.
Moen, Scott T., Hatcher, Christopher L., and Singh, Anup K.. 2016. "A Centrifugal Microfluidic Platform That Separates Whole Blood Samples into Multiple Removable Fractions Due to Several Discrete but Continuous Density Gradient Sections". United States. doi:10.1371/journal.pone.0153137. https://www.osti.gov/servlets/purl/1261101.
@article{osti_1261101,
title = {A Centrifugal Microfluidic Platform That Separates Whole Blood Samples into Multiple Removable Fractions Due to Several Discrete but Continuous Density Gradient Sections},
author = {Moen, Scott T. and Hatcher, Christopher L. and Singh, Anup K.},
abstractNote = {We present a miniaturized centrifugal platform that uses density centrifugation for separation and analysis of biological components in small volume samples (~5 μL). We demonstrate the ability to enrich leukocytes for on-disk visualization via microscopy, as well as recovery of viable cells from each of the gradient partitions. In addition, we simplified the traditional Modified Wright-Giemsa staining by decreasing the time, volume, and expertise involved in the procedure. From a whole blood sample, we were able to extract 95.15% of leukocytes while excluding 99.8% of red blood cells. Furthermore, this platform has great potential in both medical diagnostics and research applications as it offers a simpler, automated, and inexpensive method for biological sample separation, analysis, and downstream culturing.},
doi = {10.1371/journal.pone.0153137},
journal = {PLoS ONE},
number = 4,
volume = 11,
place = {United States},
year = {2016},
month = {4}
}