Identifying yeasts using surface enhanced Raman spectroscopy
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. doi:10.1016/j.saa.2019.04.010
Date
2019Copyright
© 2019 Published by Elsevier B.V.
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.
...


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