Toward Accurate Real-Time Bioaerosol Monitoring in the Particle Size Range 1 μm-70 μm.

ABSTRACT: Bioaerosols can affect human and plant health as well as climate. New automatic bioaerosol monitors capable of detecting and classifying pollen and fungal spores in real time have recently been developed, revolutionizing the way how data are collected, analyzed and distributed to the public. However, the technologies, still being very new, have not been adequately characterized and the instruments' performance is poorly understood. Here, we developed a general method for evaluating the performance of both the hardware (particle detector) and software (machine learning algorithm) of automated bioaerosol monitors. For the first time, number concentration measurements were carried out for particle sizes up to 70 μm. To do this, three different reference methods were combined: a custom-made re

SUBMITTER: Vasilatou K 

PROVIDER: S-EPMC12706739 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature