Literature DB >> 25631744

On-chip sample preparation for complete blood count from raw blood.

John Nguyen1, Yuan Wei, Yi Zheng, Chen Wang, Yu Sun.   

Abstract

This paper describes a monolithic microfluidic device capable of on-chip sample preparation for both RBC and WBC measurements from whole blood. For the first time, on-chip sample processing (e.g. dilution, lysis, and filtration) and downstream single cell measurement were fully integrated to enable sample preparation and single cell analysis from whole blood on a single device. The device consists of two parallel sub-systems that perform sample processing and electrical measurements for measuring RBC and WBC parameters. The system provides a modular environment capable of handling solutions of various viscosities by adjusting the length of channels and precisely controlling mixing ratios, and features a new 'offset' filter configuration for increased duration of device operation. RBC concentration, mean corpuscular volume (MCV), cell distribution width, WBC concentration and differential are determined by electrical impedance measurement. Experimental characterization of over 100,000 cells from 10 patient blood samples validated the system's capability for performing on-chip raw blood processing and measurement.

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Mesh:

Year:  2015        PMID: 25631744     DOI: 10.1039/c4lc01251h

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  11 in total

1.  Microfluidic chemical processing with on-chip washing by deterministic lateral displacement arrays with separator walls.

Authors:  Yu Chen; Joseph D'Silva; Robert H Austin; James C Sturm
Journal:  Biomicrofluidics       Date:  2015-09-09       Impact factor: 2.800

2.  A microfluidic biochip for complete blood cell counts at the point-of-care.

Authors:  U Hassan; B Reddy; G Damhorst; O Sonoiki; T Ghonge; C Yang; R Bashir
Journal:  Technology (Singap World Sci)       Date:  2015-12-11

Review 3.  Biomarker detection for disease diagnosis using cost-effective microfluidic platforms.

Authors:  Sharma T Sanjay; Guanglei Fu; Maowei Dou; Feng Xu; Rutao Liu; Hao Qi; XiuJun Li
Journal:  Analyst       Date:  2015-11-07       Impact factor: 4.616

4.  On-chip cell labelling and washing by capture and release using microfluidic trap arrays.

Authors:  Yu Chen; Robert H Austin; James C Sturm
Journal:  Biomicrofluidics       Date:  2017-09-27       Impact factor: 2.800

5.  High-throughput microfluidic single-cell trapping arrays for biomolecular and imaging analysis.

Authors:  Xuan Li; Abraham P Lee
Journal:  Methods Cell Biol       Date:  2018-11-05       Impact factor: 1.441

Review 6.  A Critical Review on the Sensing, Control, and Manipulation of Single Molecules on Optofluidic Devices.

Authors:  Mahmudur Rahman; Kazi Rafiqul Islam; Md Rashedul Islam; Md Jahirul Islam; Md Rejvi Kaysir; Masuma Akter; Md Arifur Rahman; S M Mahfuz Alam
Journal:  Micromachines (Basel)       Date:  2022-06-18       Impact factor: 3.523

Review 7.  Microfluidic methods for precision diagnostics in food allergy.

Authors:  Nicolas Castaño; Seth C Cordts; Kari C Nadeau; Mindy Tsai; Stephen J Galli; Sindy K Y Tang
Journal:  Biomicrofluidics       Date:  2020-04-03       Impact factor: 2.800

8.  BARKER-CODED NODE-PORE RESISTIVE PULSE SENSING WITH BUILT-IN COINCIDENCE CORRECTION.

Authors:  Michael Kellman; Francois Rivest; Alina Pechacek; Lydia Sohn; Michael Lustig
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2017-06-19

9.  High-throughput single-cell rheology in complex samples by dynamic real-time deformability cytometry.

Authors:  Bob Fregin; Fabian Czerwinski; Doreen Biedenweg; Salvatore Girardo; Stefan Gross; Konstanze Aurich; Oliver Otto
Journal:  Nat Commun       Date:  2019-01-24       Impact factor: 14.919

10.  Integrated Lateral Flow Device for Flow Control with Blood Separation and Biosensing.

Authors:  Veronica Betancur; Jianbo Sun; Nianqiang Wu; Yuxin Liu
Journal:  Micromachines (Basel)       Date:  2017-12-20       Impact factor: 2.891

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