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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Identifying yeasts using surface enhanced Raman spectroscopy

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Author(s):
Lemma, Tibebe [1] ; Wang, Jin [2] ; Arstila, Kai [3] ; Hytonen, Vesa P. [4, 5] ; Toppari, J. Jussi [3]
Total Authors: 5
Affiliation:
[1] Univ Estadual Paulista UNESP, FCT, BR-19060900 Presidente Prudente, SP - Brazil
[2] Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Anhui - Peoples R China
[3] Univ Jyvaskyla, Dept Phys, NanoSci Ctr, POB 35 YN, FI-40014 Jyvaskyla - Finland
[4] Tampere Univ, BioMediTech, Fac Med & Hlth Technol, Arvo Ylpon Katu 34, FI-33520 Tampere - Finland
[5] Fimlab Labs, Biokatu 4, FI-33520 Tampere - Finland
Total Affiliations: 5
Document type: Journal article
Source: SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY; v. 218, p. 299-307, JUL 5 2019.
Web of Science Citations: 0
Abstract

The molecular fingerprints of yeasts Saccharomyces cerevisiae, Dekkera bruxellensis, and Wickerhamomyces anomalus (former name Pichia anomala) have been examined using surface-enhanced 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 nanoparticles 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. (c) 2019 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 13/14262-7 - Nanostructured films from biologically-relevant materials
Grantee:Osvaldo Novais de Oliveira Junior
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 16/06424-5 - Electroforming giant unilamellar vesicles applied as biomembranes mimetic systems
Grantee:Tibebe Lemma
Support Opportunities: Scholarships in Brazil - Post-Doctoral