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

Olga Žukovskaja1,2,3, Sandra Kloß1, Matthew G Blango4

  • 1Institute of Physical Chemistry and Abbe Center of Photonics , Friedrich Schiller University Jena , Helmholtzweg 4 , 07745 Jena , Germany.

Analytical Chemistry
|June 30, 2018
PubMed

Insights

UV-Raman spectroscopy can rapidly identify airborne fungal spores, which cause respiratory diseases like asthma and COPD. This method offers a faster alternative to traditional cultivation for diagnosing fungal infections.

Area of Science:

  • Analytical Chemistry
  • Environmental Science
  • Mycology

Background:

  • Airborne fungal spores are significant environmental triggers for respiratory illnesses such as asthma, COPD, and aspergillosis.
  • Different fungal species pose varying health risks due to diverse allergens and mycotoxins.
  • Rapid identification of airborne fungal spore composition is crucial for public health.

Purpose of the Study:

  • To investigate the potential of UV-Raman spectroscopy for direct and rapid identification of fungal spores.
  • To assess the classification accuracy of UV-Raman spectroscopy at genus, species, and strain levels.
  • To evaluate UV-Raman spectroscopy as an alternative to conventional cultivation methods.

Main Methods:

  • UV-Raman spectroscopy with a 244 nm excitation wavelength was used to analyze eight fungal species.
  • Chemometric techniques, including principal component analysis and linear discriminant analysis, were employed for classification.
  • Leave-one-batch-out-cross-validation was utilized to evaluate model performance.

Main Results:

  • UV-Raman spectroscopy successfully enabled direct examination of darkly pigmented fungal spores.
  • High classification accuracies were achieved: 97.5% at the genus level and 100% for four Aspergillus species.
  • Classification of three Aspergillus fumigatus strains reached an accuracy of 89.4%.

Conclusions:

  • UV-Raman spectroscopy, coupled with chemometrics, provides a rapid and effective method for identifying fungal spores.
  • This technique shows promise as a faster alternative to time-consuming cultivation methods for fungal diagnostics.
  • The study demonstrates the feasibility of UV-Raman spectroscopy for classifying fungal spores relevant to respiratory diseases.

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