Strohm Eric M, Sathiyamoorthy Krishnan, Bok Taehoon, Nusrat Omar, Kolios Michael C
Department of Physics, Toronto Metropolitan University (Formerly Ryerson University), Toronto, Canada.
Institute for Biomedical Engineering, Science and Technology (iBEST), A Partnership Between Toronto Metropolitan University and St. Michael's Hospital, Toronto, Canada.
Int J Thermophys. 2023;44(5):67. doi: 10.1007/s10765-023-03169-3. Epub 2023 Mar 7.
In this study, we present a novel method to detect airborne particulates using air-coupled photoacoustics, with a goal toward detecting viral content in respiratory droplets. The peak photoacoustic frequency emitted from micrometer-sized particulates is over 1000 MHz, but at this frequency, the signals are highly attenuated in air. Measurements were taken using a thin planar absorber and ultrasound transducers with peak sensitivity between 50 kHz and 2000 kHz and a 532 nm pulsed laser to determine the optimum detection frequency. 350 kHz to 500 kHz provided the highest amplitude signal while minimizing attenuation in air. To simulate the expulsion of respiratory droplets, an atomizer device was used to spray droplets into open air through a pulsed laser. Droplets were composed of water, water with acridine orange dye, and water with gold nanoparticles. The dye and nanoparticles were chosen due to their similarity in the UV absorption peaks when compared to RNA. Using a 260 nm laser, the average photoacoustic signal from water was the highest, and then the signal decreased with dye or nanoparticles. Increasing absorber concentrations within their respective solutions resulted in a decreasing photoacoustic signal, which is opposite to our expectations. Monte Carlo simulations demonstrated that depending on the droplet dimensions, water droplets focus photons to create a localized fluence elevation. Absorbers within the droplet can inhibit photon travel through the droplet, decreasing the fluence. Photoacoustic signals are created through optical absorption within the droplet, potentially amplified with the localized fluence increase through the droplet focusing effect, with a trade-off in signal amplitude depending on the absorber concentration.
在本研究中,我们提出了一种利用空气耦合光声技术检测空气中颗粒物的新方法,目标是检测呼吸道飞沫中的病毒含量。微米级颗粒物发出的光声频率峰值超过1000 MHz,但在此频率下,信号在空气中会高度衰减。使用薄平面吸收器和峰值灵敏度在50 kHz至2000 kHz之间的超声换能器以及532 nm脉冲激光进行测量,以确定最佳检测频率。350 kHz至500 kHz提供了最高幅度的信号,同时使空气中的衰减最小化。为了模拟呼吸道飞沫的喷出,使用雾化器装置通过脉冲激光将飞沫喷入露天环境。飞沫由水、含有吖啶橙染料的水和含有金纳米颗粒的水组成。选择染料和纳米颗粒是因为与RNA相比,它们在紫外吸收峰方面具有相似性。使用260 nm激光时,来自水的平均光声信号最高,然后随着染料或纳米颗粒的加入信号降低。在各自溶液中增加吸收剂浓度会导致光声信号降低,这与我们的预期相反。蒙特卡罗模拟表明,根据飞沫尺寸,水滴会聚焦光子以产生局部能量密度升高。飞沫内的吸收剂会抑制光子穿过飞沫,从而降低能量密度。光声信号是通过飞沫内的光吸收产生的,可能会因飞沫聚焦效应导致的局部能量密度增加而放大,信号幅度会根据吸收剂浓度进行权衡。