Progress in online detection methods of bioaerosols

Bioaerosols include bacteria, fungi, fungal spores and plant pollen, as well as viruses and their secretions such as endotoxin, glucan and mycotoxins. Various respiratory diseases such as rhinitis, respiratory inflammation, asthma and coronavirus disease (COVID-19) are related to bioaerosol exposure. However, due to the complexity, diversity and non-biological interference of bioaerosols, online detection of bioaerosols has challenging.

In a review published in the journal Fundamental Research, a team of researchers from Guangdong University of Technology summarized the existing technologies and instruments that can be used for online detection of bioaerosols, and put forward prospects for the development of detection technologies and instruments.

According to lead author of the study Professor Taicheng, different bioaerosol detection technologies have their own characteristics and suitable conditions, and there is a need to select appropriate detection methods based on different conditions and purpose. 

“ATP is a simple, economical, efficient and fast method that can be used to quantify microbial concentration,” says An. “We can create an online detection platform of bioaerosol by combining with filtration method, electrostatic method and aerosol-hydrosol sampler.” 

Notably, laser-induced fluorescence technology is the most widely used non-invasive bioaerosol detection method with fast resolution. It involves the use of laser to excite fluorescent substances such as tryptophan, and reduced coenzymes contained in biological particles to achieve the detection of bioaerosols.

Additionally, Raman spectroscopy is  rapid, specific, reliable and non-invasive technique for real-time detection of bioaerosols, with surface-enhanced Raman spectroscopy (SERS) and coherent anti-stokes Raman spectroscopy (CARS) being the two most popular techniques for rapid bioaerosol identification.

According to co-author Dr Zhishu Liang, although the reviewed methods can achieve rapid detection of bioaerosols, there remain flaws that need to be improved. For example, ATP bioluminescence method cannot distinguish microorganisms at the species level, while LIF cannot eliminate environmental factors and non-biological particle interference without fluorescence database. As for Raman spectroscopy, it needs to be used in combination with other tools to improve selectivity and sensitivity of bioaerosol.

“We hope that future research on the development of detection instruments will prioritize accuracy, rather than solely pursuing the function of online monitoring,” concludes Liang.

Contact author details:  

Taicheng An, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China, antc99@gdut.edu.cn

Funder: 

This work was financially supported by National Natural Science Foundation of China (U1901210, 42177410 and 42130611), Science and Technology Project of Guangdong Province, China (2021A0505030070), and Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program (2017BT01Z032), Science and Technology Program of Guangzhou (202201010689), Young S&T Talent Training Program of Guangdong Provincial Association for S&T(GDSTA), China (2022QNRC23).

Conflict of interest:  

The authors declare that they have no conflicts of interest in this work.

See the article:

Taicheng An., Zhishu Liang., et al., Recent progress in online detection methods of bioaerosols, Fundamental Research, Volume 4, Issue 3, May 2024, Pages 442-454, https://doi.org/10.1016/j.fmre.2023.05.012