University of Oulu

Sanna Uusitalo, Alexey Popov, Yury V. Ryabchikov, Olga Bibikova, Hanna-Leena Alakomi, Riikka Juvonen, Ville Kontturi, Samuli Siitonen, Andrei Kabashin, Igor Meglinski, Jussi Hiltunen, Arja Laitila, Surface-enhanced Raman spectroscopy for identification and discrimination of beverage spoilage yeasts using patterned substrates and gold nanoparticles, Journal of Food Engineering, Volume 212, 2017, Pages 47-54, ISSN 0260-8774, https://doi.org/10.1016/j.jfoodeng.2017.05.007.

Surface-enhanced Raman spectroscopy for identification and discrimination of beverage spoilage yeasts using patterned substrates and gold nanoparticles

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Author: Uusitalo, Sanna1; Popov, Alexey2,3,4; Ryabchikov, Yury V.5,6;
Organizations: 1VTT Technical Research centre of Finland, Kaitoväylä 1, Oulu, 90590, Finland
2Optoelectronics and Measurement Techniques, Faculty of Information Technology and Electrical Engineering, University of Oulu, Erkki-Koiso Kanttilan katu 3, Oulu, 90570 Finland
3Interdisciplinary Laboratory of Biophotonics, Tomsk National Research State University, 634050 Tomsk, Russia
4Terahertz Biomedicine Laboratory, ITMO University, 49 Kronverksky Prospekt, St. Petersburg, 197101, Russia
5Aix-Marseille University, CNRS, UMR 7341 CNRS, LP3, Campus de Luminy, Case 917, F-13288, Marseille Cedex 9, France
6P.N. Lebedev Physical Institute of Russian Academy of Sciences, 53 Leninskii Prospekt, Moscow 199 991, Russia
7Nanocomp Oy Ltd, Ensolantie 6, Lehmo, Finland, 80710
8Laboratory of Biosensorics and Eco-Photonics, Irkutsk State University, Irkutsk, 664003, Russia
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019043013665
Language: English
Published: Elsevier, 2017
Publish Date: 2019-04-30
Description:

Abstract

In the beverage industry, the detection of spoilage yeasts such as Wickerhamomyces anomalus and Brettanomyces bruxellensis can be labourious and time-consuming. In the present study, a simple and repeatable technique was developed for rapid yeast detection using a combination of patterned gold-coated surface-enhanced Raman spectroscopy (SERS) substrates and gold nanoparticles. W. anomalus and B. bruxellensis showed several characteristic peaks, enabling the discrimination of these yeasts without chemometric analysis. The control yeast used as an indicator yeast, Rhodotorula mucilaginosa, showed 7 cell wall-related peaks originating from lipids and haemoproteins. Analysing W. anomalus SERS spectra with differently sized and shaped gold nanoparticles revealed the benefit of using either large, spherical, chemically synthesised gold nanoparticles or small, laser-synthesised, gold-silicon nanoparticles for yeast detection. Additionally, the spectra showed differences in SERS signal construction for small molecules and biological cells, as the nanoparticles with best response in biological cell detection did not excel in small molecule detection. The use of small composite gold-silicon nanoparticles in combination with the SERS substrate gave distinctive spectra for all detected yeast species.

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Series: Journal of food engineering
ISSN: 0260-8774
ISSN-E: 1873-5770
ISSN-L: 0260-8774
Volume: 212
Pages: 47 - 54
DOI: 10.1016/j.jfoodeng.2017.05.007
OADOI: https://oadoi.org/10.1016/j.jfoodeng.2017.05.007
Type of Publication: A1 Journal article – refereed
Field of Science: 217 Medical engineering
220 Industrial biotechnology
213 Electronic, automation and communications engineering, electronics
221 Nanotechnology
Subjects:
Funding: This project was funded by VTT government grant through SENSFOOD-project and by Academy of Finland through M-SPEC project (284907) and partially by projects 260321 and 290596 (Academy of Finland). The authors thank the support from Infotech Oulu Graduate School. O. Bibikova acknowledges the support from International Graduate School in Molecular Medicine Ulm. This work was partially supported by Government of Russian Federation (Grant 074-U01). Yu. Ryabchikov and A. V. Kabashin acknowledge a support from LASERNANOCANCER (No. PC201420) and GRAVITY projects of the ITMO “Plan Cancer 2014-2019” of INSERM and of the AMIDEX project (No ANR-11-IDEX-0001-02) funded by the French Government program.
Academy of Finland Grant Number: 284907
260321
290596
Detailed Information: 284907 (Academy of Finland Funding decision)
260321 (Academy of Finland Funding decision)
290596 (Academy of Finland Funding decision)
Copyright information: © 2017 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
  https://creativecommons.org/licenses/by-nc-nd/4.0/