Improved Method for the Evaluation of Real-Time Biological Aerosol Detection Technologies
Authors: Shanna Ratnesar-Shumate, Michael L.Wagner, Charles Kerechanin, Gerad House, Kelly M. Brinkley, Christopher Bare, Neal A. Baker, Rachel Quizon, Jason Quizon, Alex Proescher, Eric Van Gieson, and Joshua L. Santarpia
The authors from John Hopkins University Applied Physics Laboratory and the University of Maryland researched methods utilizing ultrasonic nozzle technology to create aerosols that mimic real life conditions that can be evaluated using a standoff detection system. Further their study focuses on improving detection to real-time data that can be acted upon more quickly by military and governmental response efforts. Their DyCAG system is able to create a dynamic range of aerosols that fluctuate in biological load concentration and composition. Also they are able to vary the amount of background or non-biological elements. Ultrasonic spray nozzles are able to produce repeatable atomized sprays in terms of droplets equal in relative size to one another as well as modify the size as well.