Bioaerosol Detection with Atomic Emission Spectroscopy

Leone, Nicolas; Descroix, Damien; Mohammed, Salam A.

doi:10.1007/978-1-4419-5582-1_8

Cited by 2 publications

(3 citation statements)

References 33 publications

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“…However, the particle size distribution of bioaerosols is generally 0.3-100 µm, while that of viruses is less than 0.3 µm [16]. The majority of (Gram-negative) bacteria stick to particles of >10 µm, while that of fungi is 1-30 µm, among which the particle size that can cause harm to the human body is generally between 0.4-10 µm [17]. For most of the existing SPAMS, the particle size analysis ability is about 0.1-3 µm; thus, the ability of SPAMS to detect fungi, spores, and other large particles is limited.…”

Section: Introductionmentioning

confidence: 99%

Bioaerosol Identification by Wide Particle Size Range Single Particle Mass Spectrometry

Zhuo

et al. 2023

Atmosphere

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The properties of bioaerosols are complex and diverse, and have a direct impact on the environment, climate, and human health. The effective identification of bioaerosols in the atmosphere is very significant with regard to accurately obtaining the atmospheric chemical characteristics of bioaerosols and making biological early warnings and predictions. To improve the detection of large particle bioaerosol and non-bioaerosol interference in the process of bioaerosol recognition this study detected a variety of bioaerosols and abiotic aerosols based on a single particle aerosol mass spectrometer (SPAMS). Furthermore, the bioaerosol particle identification and classification algorithm based on Zawadowicz the ratio of phosphate to organic nitrogen is optimized to distinguish bioaerosols from abiotic aerosols. The influence of ionized laser energy on classification methods is thoroughly explored here. The results show that 15 kinds of pure fungal aerosols were detected by SPAMS based on a wide size range sampling system, and that fungal aerosols with a particle size of up to 10 μm can be detected. Through the mass spectra peak ratio method of PO3−/PO2− and CNO−/CN−, when discriminating abiotic aerosols such as disruptive biomass combustion particles, automobile exhaust, and dust from pure bacterial aerosols, the discrimination degree is up to 97.7%. The optimized ratio detection method of phosphate to organic nitrogen has strong specificity, which can serve as the discriminant basis for identifying bioaerosols in SPAMS analytical processes.

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Section: Introductionmentioning

confidence: 99%

Bioaerosol Identification by Wide Particle Size Range Single Particle Mass Spectrometry

Zhuo

et al. 2023

Atmosphere

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“…Furthermore, the bioaerosol species were difficult to be discerned by the AES method. 31 Localized surface plasmon resonance (LSPR) is a strong electromagnetic near-field coupling effect associated with noble-metal nanostructures. 32 The excited plasmonic fields can directly provide signals for the local changes of molecular biophysical properties such as refractive index (RI) and molecular weight in a label-free manner.…”

Section: ■ Introductionmentioning

confidence: 99%

“…However, the AES method is also significantly influenced by the optical dispersion and particle background. Furthermore, the bioaerosol species were difficult to be discerned by the AES method …”

Section: Introductionmentioning

confidence: 99%

Total Bioaerosol Detection by a Succinimidyl-Ester-Functionalized Plasmonic Biosensor To Reveal Different Characteristics at Three Locations in Switzerland

Qiu

Yue

Tang

et al. 2020

Environ. Sci. Technol.

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Bioaerosols consisting of biologically originated airborne particles such as microbes, metabolites, toxins, and fragments of microorganisms are present ubiquitously in our living environment. The international interests in bioaerosols have rapidly increased because of their many potential health effects. Thus, accurate and fast detection of total bioaerosols in different environments has become an important task for safeguarding against biological threats and broadening the pool of bioaerosol knowledge. To quickly evaluate the total bioaerosol concentration, we developed a localized surface plasmon resonance biosensor based on succinimidyl-ester-functionalized gold nanoislands (SEF–AuNIs) for quantitative bioaerosol detection. The detection limit of our proposed SEF–AuNI sensors for model bacteria Escherichia coli and Bacillus subtilis can go to 0.5119 and 1.69 cells/mL, respectively. To demonstrate the capability of this bioaerosol sensing technique, we tested aerosol samples collected from Bern (urban station), Basel (suburban station), and Rigi mountain (rural and high altitude station) in Switzerland and further investigated the correlation with endotoxin and PM10. The results substantiated that our SEF–AuNI sensors could be a reliable candidate for total bioaerosol detection and air quality assessment.

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Bioaerosol Detection with Atomic Emission Spectroscopy

Cited by 2 publications

References 33 publications

Bioaerosol Identification by Wide Particle Size Range Single Particle Mass Spectrometry

Bioaerosol Identification by Wide Particle Size Range Single Particle Mass Spectrometry

Total Bioaerosol Detection by a Succinimidyl-Ester-Functionalized Plasmonic Biosensor To Reveal Different Characteristics at Three Locations in Switzerland

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