Identifying yeasts using surface enhanced Raman spectroscopy

Abstract
The molecular fingerprints of yeasts Saccharomyces cerevisiae, Dekkera bruxellensis, and Wickerhamomyces anomalus (former name Pichia anomala) have been examined using surfaceenhanced Raman spectroscopy (SERS) and helium ion microscopy (HIM). The SERS spectra obtained from cell cultures (lysate and non-treated cells) distinguish between these very closely related fungal species. Highly SERS active silver nano-particles suitable for detecting complex biomolecules were fabricated using a simple synthesis route. The yeast samples mixed with aggregated Ag nanoparticles yielded highly enhanced and reproducible Raman signal owing to the high density of the hot spots at the junctions of two or more Ag nanoparticles and enabled to differentiate the three species based on their unique features (spectral fingerprint). We also collected SERS spectra of the three yeast species in beer medium to demonstrate the potential of the method for industrial application. These findings demonstrate the great potential of SERS for detection and identification of fungi species based on the biochemical compositions, even in a chemically complex sample.
Main Authors
Format
Articles Research article
Published
2019
Series
Subjects
Publication in research information system
Publisher
Elsevier BV
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201904232240Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
1386-1425
DOI
https://doi.org/10.1016/j.saa.2019.04.010
Language
English
Published in
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
Citation
  • Lemma, T., Wang, J., Arstila, K., Hytönen, V., & Toppari, J. (2019). Identifying yeasts using surface enhanced Raman spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 218, 299-307. https://doi.org/10.1016/j.saa.2019.04.010
License
CC BY-NC-ND 4.0Open Access
Copyright© 2019 Published by Elsevier B.V.

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