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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

Abstract

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. Ultimately, 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:
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)
OSTI Identifier:
1261101
Alternate Identifier(s):
OSTI ID: 1266254
Grant/Contract Number:  
AC04-94AL85000; R01AI0988530
Resource 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
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; 59 BASIC BIOLOGICAL SCIENCES; blood; centrifugation; density gradient centrifugation; white blood cells; Wright-Giemsa staining; cell staining; microfluidics; red blood cells

Citation Formats

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., 2016. 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. Thu . "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. Ultimately, 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}
}

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