Literature DB >> 20300674

Numerical modeling and experimental validation of uniform microchamber filling in centrifugal microfluidics.

Jonathan Siegrist1, Mary Amasia, Navdeep Singh, Debjyoti Banerjee, Marc Madou.   

Abstract

In this paper, a comprehensive approach to numerical and experimental analysis of microchamber filling in centrifugal microfluidics is presented. In the development of micro total analysis systems, it is often necessary to achieve complete, uniform filling of relatively large microchambers, such as those needed for nucleic acid amplification or detection. With centrifugal devices, these large microchambers must often be orientated perpendicularly to the direction of centrifugal force and are usually bounded by materials with varying surface properties. The resulting fluidic flow in such systems can be complex and is not well characterized. To gain further insight into complex fluidic behavior on centrifugal microfluidic platforms, numerical modeling using the Volume of Fluids method is performed to simulate microchamber filling in a centrifugal microfluidic device with integrated sample preparation, amplification, and detection capabilities. Parametric analyses are performed using numerical models to predict microchamber filling behavior for a range of pressure conditions. High-speed flow visualization techniques are used to track the liquid meniscus during filling of the microchambers, and comparison to the numerical predictions for experimental validation is achieved by analyzing the liquid volume fraction as a function of the non-dimensional temporal profile during filling. When channel filling profiles are compared, the numerical model predictions utilizing static conditions are in strong agreement with the experimental data. When dynamic modeling conditions are used, the numerical predictions are extremely accurate as compared to the experimental data.

Year:  2010        PMID: 20300674     DOI: 10.1039/b917880e

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


  4 in total

1.  System-level simulation of liquid filling in microfluidic chips.

Authors:  Hongjun Song; Yi Wang; Kapil Pant
Journal:  Biomicrofluidics       Date:  2011-05-19       Impact factor: 2.800

2.  MOPSA: A microfluidics-optimized particle simulation algorithm.

Authors:  Junchao Wang; Victor G J Rodgers; Philip Brisk; William H Grover
Journal:  Biomicrofluidics       Date:  2017-06-26       Impact factor: 2.800

3.  Experimental validation of numerical study on thermoelectric-based heating in an integrated centrifugal microfluidic platform for polymerase chain reaction amplification.

Authors:  Mary Amasia; Seok-Won Kang; Debjyoti Banerjee; Marc Madou
Journal:  Biomicrofluidics       Date:  2013-01-30       Impact factor: 2.800

4.  Elastic membrane enabled inward pumping for liquid manipulation on a centrifugal microfluidic platform.

Authors:  Yujia Liu; Lawrence Kulinsky; Roya Shiri; Marc Madou
Journal:  Biomicrofluidics       Date:  2022-05-18       Impact factor: 3.258

  4 in total

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