Raman spectroscopy of potential bio-hazards commonly found in bio-aerosols

Pathogenic bio-aerosols are a threat to public health today, and thus quick detection and identification is of paramount importance. In this study, Raman spectroscopy was used to test 14 types of pollens, one type of fungus and two types of bacteria that are commonly found in bio-aerosols. For bacte...

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Bibliographic Details
Published in:Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Molecular and biomolecular spectroscopy, 2020-12, Vol.243, p.118753, Article 118753
Main Authors: Jin, Huaizhou, Wang, Jie, Jin, Shangzhong, Jiang, Li, Zou, Yanqiu
Format: Article
Language:English
Subjects:
Bacteria
Bio-aerosols
Pollens
Raman spectroscopy
SVM model
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Summary:Pathogenic bio-aerosols are a threat to public health today, and thus quick detection and identification is of paramount importance. In this study, Raman spectroscopy was used to test 14 types of pollens, one type of fungus and two types of bacteria that are commonly found in bio-aerosols. For bacteria and fungus, surface enhanced Raman spectroscopy (SERS) was used due to their relatively weak signals. Data analysis was performed on the Raman measurement results; principal component analysis was used to reduce the dimension of the data, and support vector machine was used to establish a model for sample identification. The model was able to identify data in the validation set with high (97.3%) accuracy. [Display omitted] •Pollens, bacteria and a type of fungus commonly found in bio-aerosols tested using Raman spectroscopy;•Pollens belong to the same family can be identified using weaker Raman peaks;•SERS is used for of bacteria and fungus samples with weak signals and strong background;•PCA was used to reduce the data dimension; An SVM model is trained to identify samples with high accuracy.
ISSN:1386-1425
DOI:10.1016/j.saa.2020.118753