University of Illinois Urbana-Champaign

Loop mediated isothermal amplification based detection of equine respiratory pathogens using a portable, smartphone-based setup

Ornob, Akid

Content Files
ORNOB-THESIS-2017.pdf

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https://hdl.handle.net/2142/99435

Description

Title
Loop mediated isothermal amplification based detection of equine respiratory pathogens using a portable, smartphone-based setup
Author(s)
Ornob, Akid
Issue Date
2017-12-15
Director of Research (if dissertation) or Advisor (if thesis)
Bashir, Rashid
Department of Study
Bioengineering
Discipline
Bioengineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2018-03-13T15:49:21Z
Keyword(s)
  • Point-of-care diagnostics
  • Infectious diseases
  • Biosensors
  • Global health
  • Lab on a chip
Abstract
New tools are needed to enable rapid detection, identification, and reporting of infectious viral and microbial pathogens in a wide variety of point-of-care applications that impact human and animal health. We report the design, construction, and characterization of a multiplexed platform for multiplexed analysis of disease-specific DNA sequences that utilizes a smartphone camera as the sensor in conjunction with a handheld “cradle” that interfaces the phone with a silicon-based microfluidic chip embedded within a credit card-sized cartridge. Utilizing specific nucleic acid sequences for four equine respiratory pathogens as representative examples, we demonstrate the ability of the system to utilize a single 15 µL droplet of test sample to perform selective positive/negative determination of target sequences, including integrated experimental controls, in approximately 30 minutes. Our approach utilizes loop mediated isothermal amplification (LAMP) reagents pre-deposited into distinct lanes of the microfluidic chip, which, when exposed to target nucleic acid sequences from the test sample, generates fluorescent products that, when excited by appropriately selected light emitting diodes (LEDs) are visualized and automatically analyzed by a software application running on the smartphone microprocessor. The system achieves detection limits comparable to those obtained by laboratory-based methods and instruments. Assay information is combined with information from the cartridge and the patient to populate a cloud-based database for epidemiological reporting of test results.
Graduation Semester
2017-12
Type of Resource
text
Permalink
http://hdl.handle.net/2142/99435
Copyright and License Information
Copyright 2017 Akid Ornob

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Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois
Dissertations and Theses - Bioengineering