Abstract

A real-time light-emitting-diode-induced fluorescence biological aerosol detection method is developed that enables real-time monitoring of airborne particles derived from organisms so the presence of these contaminants can be identified. To characterize the performance, a variety of background measurements describing different contamination levels and particulate concentrations controlled to closed environments were obtained and used as the input to a detection algorithm. Optimization was performed for various backgrounds. Additionally, detection performance per sensitivity level was determined using a confusion matrix so that the user can select sensitivities depending on the background. For 50 to 100 agent-containing-particles-per-liter-of-air target detection performance, an alarm rate of 100% was achieved, and the false-alarm rate was optimized to 0%. Applying these settings, the final sensitivities of the “high” and “low” modes were roughly twice and half of those of the “normal” mode, respectively. The final alarm thresholds of high and low sensitivities were set to 0.1 times and 10 times the reference values, respectively, enabling reliable operation in a variety of situations.

摘要

开发了一种实时发光二极管诱导荧光生物气溶胶检测方法，该方法可以实时监测来自生物体的空气中颗粒物，从而可以识别这些污染物的存在。为了表征性能，获得了描述不同污染水平和控制到封闭环境的颗粒浓度的各种背景测量值，并将其用作检测算法的输入。针对各种背景进行了优化。此外，使用混淆矩阵确定每个灵敏度级别的检测性能，以便用户可以根据背景选择灵敏度。对于每升空气中含有 50 到 100 个粒子的目标检测性能，实现了 100% 的报警率，误报率优化为0%。应用这些设置，“高”和“低”模式的最终灵敏度分别大约是“正常”模式的两倍和一半。高、低灵敏度的最终报警阈值分别设置为参考值的 0.1 倍和 10 倍，可在各种情况下可靠运行。