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An automated spectral analysis platform tailored to community drug checking services
Description:
In consideration of the currently available drug checking technologies, and the training required to operate them, there is a significant challenge in addressing the increasing demand for drug checking services. To adequately serve the needs of diverse and dispersed populations drug checking must be accessible at a range of locations, have extensive hours, and provide rapid and accurate results. This project uses a range of data analysis methods such as regression, discriminant analysis, correlation analysis, and data fusion approaches to push the limits of Raman spectroscopy, surface enhanced Raman spectroscopy, IR spectroscopy, and immunoassay test strips in a drug checking application. I present a dynamic data analysis platform that strengthens the interpretation of test results and the clarity of messaging for use by both experienced and inexperienced drug checking technicians and harm reduction workers.
Speaker: Lea Gozdzialski - Department of Chemistry, University of Victoria, Victoria, British Columbia, V8W 3V6, Canada
Co-Authors
An automated spectral analysis platform tailored to community drug checking services