Detection device for microfluidic molds airborne in food (beverage) processing workshop

Objective: To monitor and control mold spores contamination effectively in food (beverage) processing workshops. Methods: The mold spores are enriched and classified by microfluidic chip, and the air aerosol was collected in 2~10 micron channel and prepared on film. Finally, spore images were taken by camera and electron microscope, and spores were detected, distinguished and counted by Canny algorithm. Results: Compared with the traditional falling plate method, the detection device designed in this paper could detect 103 cell/mL mold spores sprayed in the air within 20 minutes. Conclusion: Using airborne UAV to detect mold pollution in food (beverage) processing workshop in the air is simple and feasible.