UV-Raman Spectroscopic Identification of Fungal Spores Important for Respiratory Diseases,Analytical Chemistry

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UV-Raman Spectroscopic Identification of Fungal Spores Important for Respiratory Diseases
Analytical Chemistry ( IF 6.7 ) Pub Date : 2018-06-29 00:00:00 , DOI: 10.1021/acs.analchem.8b01038
Olga Žukovskaja _{1,

2,

3} , Sandra Kloß ₁ , Matthew G. Blango ₄ , Oleg Ryabchykov _{1,

3} , Olaf Kniemeyer ₄ , Axel A. Brakhage _{4,

5} , Thomas W. Bocklitz _{1,

3} , Dana Cialla-May _{1,

2,

3} , Karina Weber _{1,

2,

3} , Jürgen Popp _{1,

2,

3}

Affiliation

Fungal spores are one of several environmental factors responsible for causing respiratory diseases like asthma, chronic obstructive pulmonary disease (COPD), and aspergillosis. These spores also are able to trigger exacerbations during chronic forms of disease. Different fungal spores may contain different allergens and mycotoxins, therefore the health hazards are varying between the species. Thus, it is highly important quickly to identify the composition of fungal spores in the air. In this study, UV-Raman spectroscopy with an excitation wavelength of 244 nm was applied to investigate eight different fungal species implicated in respiratory diseases worldwide. Here, we demonstrate that darkly colored spores can be directly examined, and UV-Raman spectroscopy provides the information sufficient for classifying fungal spores. Classification models on the genus, species, and strain levels were built using a combination of principal component analysis and linear discriminant analysis followed by evaluation with leave-one-batch-out-cross-validation. At the genus level an accuracy of 97.5% was achieved, whereas on the species level four different Aspergillus species were classified with 100% accuracy. Finally, classifying three strains of Aspergillus fumigatus an accuracy of 89.4% was reached. These results demonstrate that UV-Raman spectroscopy in combination with innovative chemometrics allows for fast identification of fungal spores and can be a potential alternative to currently used time-consuming cultivation.

中文翻译：

紫外拉曼光谱法鉴定对呼吸道疾病重要的真菌孢子

真菌孢子是导致呼吸系统疾病（例如哮喘，慢性阻塞性肺疾病（COPD）和曲霉病）的几种环境因素之一。这些孢子还能够在慢性疾病形式中引发病情加重。不同的真菌孢子可能含有不同的过敏原和霉菌毒素，因此对健康的危害因物种而异。因此，迅速确定空气中真菌孢子的组成非常重要。在这项研究中，激发波长为244 nm的紫外拉曼光谱用于研究与呼吸系统疾病有关的八种不同真菌。在这里，我们证明可以直接检查深色孢子，并且紫外拉曼光谱提供了足以对真菌孢子进行分类的信息。使用主成分分析和线性判别分析相结合，然后进行留一批交叉验证的评估，建立了属，种和菌株水平的分类模型。在属级别上，达到了97.5％的准确性，而在物种级别上，达到了四个不同的精度曲霉菌种的分类准确度为100％。最终，对三种烟曲霉菌株进行了分类，准确度达到了89.4％。这些结果表明，紫外拉曼光谱与创新的化学计量学相结合可以快速鉴定真菌孢子，并且可以替代当前使用的耗时的培养方法。

更新日期：2018-06-29

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