scholarly journals Poster: Dye Flow through a Paper Microfluidic Chip

2015 ◽  
Author(s):  
Amaris De La Rosa-Moreno ◽  
Gautham Prakash ◽  
Brenden Epps
Keyword(s):  
Microfluidic Chip ◽  
Paper Microfluidic ◽  
Flow Through

scholarly journals A flow‐through microfluidic chip for continuous dielectrophoretic separation of viable and non‐viable human T‐cells

2021 ◽  
Author(s):  
Adil Mustafa ◽  
Elisa Pedone ◽  
Lucia Marucci ◽  
Despina Moschou ◽  
Mirella Di Lorenzo
Keyword(s):  
T Cells ◽  
Microfluidic Chip ◽  
Human T Cells ◽  
Flow Through

scholarly journals Modelling-Guided Design of Paper Microfluidic Networks – A Case Study of Sequential Fluid Delivery

2020 ◽  
Author(s):  
Dharitri Rath ◽  
Bhushan Toley
Keyword(s):  
Mathematical Models ◽  
Low Cost ◽  
Microfluidic Devices ◽  
Computational Design ◽  
Engineering Problem ◽  
Richards Equation ◽  
Trial And Error ◽  
Microfluidic Networks ◽  
Paper Microfluidic ◽  
Flow Through

<p>Paper-based microfluidic devices are popular for their ability to automate multi-step assays for chemical or biological sensing at a low cost, but the design of paper microfluidic networks has largely relied on experimental trial and error. A few mathematical models of flow through paper microfluidic devices have been developed and have succeeded in explaining experimental flow behaviour. However, the reverse engineering problem of designing complex paper networks guided by appropriate mathematical models is largely unsolved. In this article, we demonstrate that a two-dimensional paper network (2DPN) designed to sequentially deliver three fluids to a test zone on the device can be computationally designed and experimentally implemented without trial and error. This was accomplished by three new developments in modelling flow through paper networks: i) coupling of the Richards equation of flow through porous media to the species transport equation, ii) modelling flow through assemblies of multiple paper materials (test membrane and wicking pad), and iii) incorporating limited-volume fluid sources. We demonstrate the application of this model in the optimal design of a paper-based signal-enhanced immunoassay for a malaria protein, P<i>f</i>HRP2. This work lays the foundation for the development of a computational design toolbox to aid in the design of paper microfluidic networks.</p>

Aptamer Biosensor in Microfluidic Chip for Human Thrombin Detection

2014 ◽  
Vol 988 ◽  
pp. 420-423
Author(s):  
Cong Xiao Zhang ◽  
Xue Fei Lv ◽  
Hong Qing ◽  
Yu Lin Deng
Keyword(s):  
Microfluidic Chip ◽  
Experimental Results ◽  
Microfluidic Chips ◽  
Recognition Element ◽  
Human Thrombin ◽  
Paper Microfluidic

In this paper, microfluidic chips supply a miniature platform for aptamer biosensor in thrombin detection. The aptamer biosensor was integrated to the microfluidic chip as a recognition element for thrombin detection. Experimental results showed that the aptamer biosensor in microfluidic chip was able to realize the function for human thrombin detection.

scholarly journals Modelling-Guided Design of Paper Microfluidic Networks – A Case Study of Sequential Fluid Delivery

2020 ◽  
Author(s):  
Dharitri Rath ◽  
Bhushan Toley
Keyword(s):  
Mathematical Models ◽  
Low Cost ◽  
Microfluidic Devices ◽  
Computational Design ◽  
Engineering Problem ◽  
Richards Equation ◽  
Trial And Error ◽  
Microfluidic Networks ◽  
Paper Microfluidic ◽  
Flow Through

<p>Paper-based microfluidic devices are popular for their ability to automate multi-step assays for chemical or biological sensing at a low cost, but the design of paper microfluidic networks has largely relied on experimental trial and error. A few mathematical models of flow through paper microfluidic devices have been developed and have succeeded in explaining experimental flow behaviour. However, the reverse engineering problem of designing complex paper networks guided by appropriate mathematical models is largely unsolved. In this article, we demonstrate that a two-dimensional paper network (2DPN) designed to sequentially deliver three fluids to a test zone on the device can be computationally designed and experimentally implemented without trial and error. This was accomplished by three new developments in modelling flow through paper networks: i) coupling of the Richards equation of flow through porous media to the species transport equation, ii) modelling flow through assemblies of multiple paper materials (test membrane and wicking pad), and iii) incorporating limited-volume fluid sources. We demonstrate the application of this model in the optimal design of a paper-based signal-enhanced immunoassay for a malaria protein, P<i>f</i>HRP2. This work lays the foundation for the development of a computational design toolbox to aid in the design of paper microfluidic networks.</p>

scholarly journals Direct capture and smartphone quantification of airborne SARS-CoV-2 on a paper microfluidic chip

2021 ◽  
pp. 113912
Author(s):  
Sangsik Kim ◽  
Patarajarin Akarapipad ◽  
Brandon T. Nguyen ◽  
Lane E. Breshears ◽  
Katelyn Sosnowski ◽  
...  
Keyword(s):  
Microfluidic Chip ◽  
Direct Capture ◽  
Paper Microfluidic

scholarly journals A decoupler-free simple paper microchip capillary electrophoresis device for simultaneous detection of dopamine, epinephrine and serotonin

RSC Advances ◽  
2020 ◽  
Vol 10 (43) ◽  
pp. 25487-25495 ◽  
Author(s):  
Appan Roychoudhury ◽  
Kevin Antony Francis ◽  
Jay Patel ◽  
Sandeep Kumar Jha ◽  
Suddhasatwa Basu
Keyword(s):  
Capillary Electrophoresis ◽  
Microfluidic Chip ◽  
Simultaneous Detection ◽  
Amperometric Detection ◽  
Microchip Capillary Electrophoresis ◽  
Paper Microfluidic

This paper demonstrates a simplified configuration for capillary electrophoresis-amperometric detection using paper microfluidic chip for separation and simultaneous detection of three clinically relevant neurochemicals without using any decouplers.

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