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Design and simulation of microchannel for DNA amplification

  • Muhammad Ahsan Saeed
  • , Shafaat Ahmed Bazaz
  • , Nisar Ahmed
  • , Mujahid Naseem
  • , Azizur Rehman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Microfluidic technology has been playing a critical role in biochemical assays and molecular diagnosis since past few decades. One of its applications is polymerase chain reaction which requires fast and repetitive thermal cycling to amplify small amount of DNA. In this paper, microchannel is designed and CFD simulations are performed in ANSYS-CFX to obtain optimum velocity for efficient DNA amplification. The serpentine type channel of polycarbonate base covered with acetate layer is used. Two heaters of constant temperature are attached on the upper surface of the micro channels. Water is used as a carrier fluid and various parameters which may affect DNA amplification efficiency like flow rate, thermal mass, residence time, pumping power and heater powers are investigated. For related channel dimensions, optimum velocity of 4 mm/s and pumping power of 0.09 μW are obtained. Moreover, the impact of non-convection and natural convection on residence time is also analyzed numerically to optimize heater power.

Original languageEnglish
Title of host publicationProceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509043002
DOIs
StatePublished - 2 Feb 2017
Externally publishedYes

Publication series

NameProceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • CFX
  • DNA amplification
  • MEMS
  • microfluidics
  • polymerase chain reaction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Instrumentation
  • Hardware and Architecture
  • Software
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Control and Optimization

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