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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Identifying yeasts using surface enhanced Raman spectroscopy

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Autor(es):
Lemma, Tibebe [1] ; Wang, Jin [2] ; Arstila, Kai [3] ; Hytonen, Vesa P. [4, 5] ; Toppari, J. Jussi [3]
Número total de Autores: 5
Afiliação do(s) autor(es):
[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
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY; v. 218, p. 299-307, JUL 5 2019.
Citações Web of Science: 0
Resumo

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)

Processo FAPESP: 13/14262-7 - Filmes nanoestruturados de materiais de interesse biológico
Beneficiário:Osvaldo Novais de Oliveira Junior
Linha de fomento: Auxílio à Pesquisa - Temático
Processo FAPESP: 16/06424-5 - Eletroformação de vesículas unilamelares gigantes aplicadas como sistemas miméticos de biomembranas
Beneficiário:Tibebe Lemma
Linha de fomento: Bolsas no Brasil - Pós-Doutorado