Rapid detection and surveillance of antimicrobial resistance of Salmonella using microfluidic device and internet of things

Antimicrobial resistance (AMR) has been recognized as one of the top three major threats to public health besides cancers and climate change. In response to the AMR crisis, there is an urgent need to establish a standardized, user-friendly, on-site testing method for real-time data collection, analysis, and integration. Drug-resistant Salmonella is a representative foodborne pathogen and listed as a severe threat to public health. In this project, we aim to develop an internet-of-things (IoT) framework for real-time AMR surveillance. This project will improve efficiency, affordability and automation of AMR detection. The IoT-based AMR surveillance system will offer more timely reporting and a better understanding of the health risks caused by AMR Salmonella in the food supply chain.

Faculty Supervisor:

Xiaonan Lu

Student:

Partner:

NTBIO Diagnostics Inc

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

McGill University

Program: