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

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Bioengineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2018

Author dc:creator

• Ornob, Akid

Contributors dc:contributor

• Bashir, Rashid

• Point-of-care diagnostics
• Infectious diseases
• Biosensors
• Global health
• Lab on a chip

Statement dc:rights

• Copyright 2017 Akid Ornob

Language dc:language

en

Handle dc:identifier

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

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/99435