Microfluidic Actuation via 3D-Printed Molds toward Multiplex Biosensing of Cell Apoptosis.

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ID: 24894
2019
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Abstract
Multiplexed analysis of biochemical analytes such as proteins, enzymes, and immune products using a microfluidic device has the potential to cut assay time, reduce sample volume, realize high-throughput, and decrease experimental error without compromising sensitivity. Despite these huge benefits, the need for expensive specialized equipment and the complex photolithography fabrication process for the multiplexed devices have, to date, prevented widespread adoption of microfluidic systems. Here, we present a simple method to fabricate a new microfluidic-based multiplexed biosensing device by taking advantage of 3D-printing. The device is an integration of normally closed (NC) microfluidic valving units which offer superior operational flexibility by using PDMS membrane ( ∼ 1-2 MPa) and require minimized energy input (1-5 kPa). To systematically engineer the device, we first report on the geometrical and operational analysis of a single 3D-printed valving unit. Based on the characterization, we introduce a full prototype multiplexed chip comprising several microfluidic valves. The prototype offers-for the first time in a 3D-printed microfluidic device-the capability of on-demand performce of both a sequential and a parallel biochemical assay. As a proof of concept, our device has been used to simultaneously measure the apoptotic activity of 5 different members of the caspase protease enzyme family. In summary, the 3D-printed valving system showcased in this study overcomes traditional bottlenecks of microfabrication, enabling a new class of sophisticated liquid manipulation required in performing multiplexed sensing for biochemical assays.
Reference Key
dang2019microfluidicacs Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Dang, Bac Van;Hassanzadeh-Barforoushi, Amin;Syed, Maira Shakeel;Yang, Danting;Kim, Sung-Jin;Taylor, Robert A;Liu, Guo-Jun;Liu, Guozhen;Barber, Tracie;
Journal ACS sensors
Year 2019
DOI
10.1021/acssensors.9b01057
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