Repository logo
Log In(current)
  1. Home
  2. Colleges & Schools
  3. Graduate School
  4. Masters Theses
  5. Development of A Point-of-Use Testing Platform for Detecting Bacteria Infection in Raw Milk
Details

Development of A Point-of-Use Testing Platform for Detecting Bacteria Infection in Raw Milk

Date Issued
August 1, 2021
Author(s)
Xia, Xin  
Advisor(s)
Jie Wu
Additional Advisor(s)
Gu Gong, Qing Cao
Abstract

The detection and quantification of bacteria are essential to environment and food quality monitoring. Escherichia coli (E. coli) is a common pathogen, also a causative agent of mastitis. Traditional methods usually require samples to be tested in a laboratory. However, sending samples to remote lab increases the cost of time and money spent on delivery. Sometimes, samples can degrade during this long progress and cause inaccuracy. A low cost and reusable sensor is designed to perform on-site quantification. The sensor composed of two layers of asymmetrical mesh electrodes, which is used in coordination magnetic microparticles functionalized with bacterium-specific antibody. Immunological binding between the bacteria and its antibody is utilized to identify the target. The sensor can selectively detect coagulated clusters of bacteria and magnetic microparticles, which is based on negative dielectrophoresis and alternating current electrothermal microflows. A hypothesis is proposed and experimentally validated to explain the sensing mechanism, which is used to improve the detection sensitivity. Further, a compact and embedded testing kit (aceTeK) is developed to help perform point-of-use testing and diagnosis. Data is acquired, processed, and analyzed to yield a conclusion about the existence of any bacteria infection in the milk.

Subjects

ACEK

DEP

mesh device

bacteria detection

magnetic beads

yeast

Disciplines
Electrical and Electronics
Electronic Devices and Semiconductor Manufacturing
Nanotechnology Fabrication
Degree
Master of Science
Major
Electrical Engineering
File(s)
Thumbnail Image
Name

My_Master_Thesis_rev2.pdf

Size

2.54 MB

Format

Adobe PDF

Checksum (MD5)

f664de1af4102743b9e5794126896397

Learn more about how TRACE supports reserach impact and open access here.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
  • Contact
  • Libraries at University of Tennessee, Knoxville
Repository logo COAR Notify