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Inertial Particle Focusing In Parallel Microfluidic Channels For High-Throughput Filtration
KTH, School of Engineering Sciences (SCI), Applied Physics, Cell Physics.ORCID iD: 0000-0001-8531-5607
KTH, School of Electrical Engineering (EES), Micro and Nanosystems.
KTH, School of Electrical Engineering (EES), Microsystem Technology (Changed name 20121201).ORCID iD: 0000-0002-0441-6893
KTH, School of Electrical Engineering (EES), Microsystem Technology (Changed name 20121201).ORCID iD: 0000-0001-8248-6670
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2011 (English)In: 16th International  Solid-State Sensors, Actuators and Microsystems Conference (TRANSDUCERS), 2011, IEEE conference proceedings, 2011, 1777-1780 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this study, we introduce inertial microfluidics in straight, parallel channels for high-throughput particle filtration. We show that particles flowing through low aspect ratio rectangular microchannels can be focused into four particle streams, distributed at the centers of each wall face, or into two particle streams, at the centers of the longest channel walls, depending on the particles' size. For high-throughput filtration, we fabricated scalable, single inlet and two outlet, parallel channel microdevices, using a high-density 3D microfluidic PDMS channel manufacturing technology, in a design that allows for easy integration with other downstream on-chip functions we recently described. We demonstrate filtration of 24 μm particles from a suspension mixture in a microdevice with four parallel channels. The filtration efficiency at a non-optimized flow rate of 0.8 ml/min was 82%.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2011. 1777-1780 p.
Keyword [en]
Filtration, Focusing, Force, Manufacturing, Microchannel, Microfluidics, Three dimensional displays
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-48371DOI: 10.1109/TRANSDUCERS.2011.5969458Scopus ID: 2-s2.0-80052116772ISBN: 978-1-4577-0157-3 (print)OAI: oai:DiVA.org:kth-48371DiVA: diva2:457430
Conference
16th International Solid-State Sensors, Actuators and Microsystems Conference (TRANSDUCERS), 2011
Note

QC 20111118

Available from: 2011-11-18 Created: 2011-11-17 Last updated: 2014-06-03Bibliographically approved
In thesis
1. Microfluidic blood sample preparation for rapid sepsis diagnostics
Open this publication in new window or tab >>Microfluidic blood sample preparation for rapid sepsis diagnostics
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Sepsis, commonly referred to as blood poisoning, is a serious medical condition characterized by a whole-body inflammatory state caused by microbial infection. Rapid treatment is crucial, however, traditional culture-based diagnostics usually takes 2-5 days.  The overall aim of the thesis is to develop microfluidic based sample preparation strategies, capable of isolating bacteria from whole blood for rapid sepsis diagnostics. 

Although emerging technologies, such as microfluidics and “lab-on-a-chip” (LOC) devices have the potential to spur the development of protocols and affordable instruments, most often sample preparation is performed manually with procedures that involve handling steps prone to introducing artifacts, require skilled technicians and well-equipped, expensive laboratories.  Here, we propose the development of methods for fast and efficient sample preparation that can isolate bacteria from whole blood by using microfluidic techniques with potential to be incorporated in LOC systems.

We have developed two means for high throughput bacteria isolation: size based sorting and selective lysis of blood cells. To process the large blood samples needed in sepsis diagnostics, we introduce novel manufacturing techniques that enable scalable parallelization for increased throughput in miniaturized devices.

The novel manufacturing technique uses a flexible transfer carrier sheet, water-dissolvable release material, poly(vinyl alcohol), and a controlled polymerization inhibitor to enable highly complex polydimethylsiloxane (PDMS) structures containing thin membranes and 3D fluidic networks.

The size based sorting utilizes inertial microfluidics, a novel particles focusing method that operates at extremely high flow rates. Inertial focusing in flow through a single inlet and two outlet, scalable parallel channel devices, was demonstrated with filtration efficiency of >95% and a flowrate of 3.2 mL/min.

Finally, we have developed a novel microfluidic based sample preparation strategy to continuously isolate bacteria from whole blood for downstream analysis. The method takes advantage of the fact that bacteria cells have a rigid cell wall protecting the cell, while blood cells are much more susceptible to chemical lysis. Whole blood is continuously mixed with saponin for primary lysis, followed by osmotic shock in water. We obtained complete lysis of all blood cells, while more than 80% of the bacteria were readily recovered for downstream processing.

Altogether, we have provided new bacteria isolation methods, and improved the manufacturing techniques and microfluidic components that, combined offer the potential for affordable and effective sample preparation for subsequent pathogen identification, all in an automated LOC format.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012. ix, 40 p.
Series
Trita-FYS, ISSN 0280-316X ; 2012:39
Keyword
3D fluidic networks, bacteria isolation, inertial microfluidics, lab-on-chip, microfluidics, particle filtration, PDMS membrane, selective cell lysis. sepsis
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-96313 (URN)978-91-7501-428-9 (ISBN)
Presentation
2012-06-15, FD5 (The Svedberg Hall), Albanova Universitetscentrum, Roslagstullsbacken 21, Stockholm, 14:00 (English)
Opponent
Supervisors
Funder
EU, FP7, Seventh Framework Programme
Note
QC 20120611Available from: 2012-06-11 Created: 2012-06-01 Last updated: 2012-06-11Bibliographically approved

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Hansson, JonasHaraldsson, TommyWijngaart, Wouter van der

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