rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Novel design of a passive microfluidic mixer for biochemical reactions and biosensing
  name:
    name part: Yee, Yao-Chung.
    role:
      role term: creator
  name:
    name part: Kameoka, Jun
    role:
      role term: thesis advisor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: remote
    extent: 1 online resource.
  abstract: The next step in miniaturization of analytical devices involves the use of MEMS and Lab-on-a-Chip applications, where many biological or chemical reactions are carried out on the device in real time. Since detection mechanisms occur almost immediately after the reactions, inefficient mixing of reagents could cause a decrease in sensing capability, especially on micro- and nano-scaled devices. Thus a microfluidic mixer has become a crucial component in these applications. Here we propose a new design of a passive microfluidic mixer that utilizes the theories of chaotic advection to enhance mixing. The micro-channels for the mixer have dimensions with width ranging from 10[mu]m to 40[mu]m, depth 40[mu]m, and a total length of 280[mu]m. First the designs are simulated using CFD-ACE+ for computational analysis. After the device geometry has been decided, the actual devices are fabricated using traditional UV photolithography on silicon and bonded with pyrex glass by anodic bonding. To test the actual device mixing efficiency, we used a fluorescent dye rhodamine B solution to mix with DI water and put the devices under fluorescent microscope observations for real-time analysis. Images of fluorescent light intensities are taken at different flow rates during the analysis and are later used to study the experimental results calculated using a published mixing efficiency formula for comparison.
  note: by Yao-Chung Yee.
  note: "Major Subject: Electrical Engineering"
  note: Title from author supplied metadata (automated record created 2010-03-12 12:08:51).
  note: Electronic resource.
  note: Master of Science Texas A&M University 2007 http://hdl.handle.net/1969.1/ETD-TAMU-1500
  note: Includes bibliographical references.
  note: Text (Thesis)
  subject:
    topic: Major electrical engineering
  subject:
    topic: microfluidics
  subject:
    topic: mixers
  subject:
    topic: biosensing
  identifier: http://hdl.handle.net/1969.1/ETD-TAMU-1500
  record info:
    record content source: TXA
    record creation date: 100429
    record change date: 20151201150216.0
    record identifier: in00002587236