Literature DB >> 23741734

FTIR spectroscopic characterization of differently cultivated food related yeasts.

V Shapaval1, B Walczak, S Gognies, T Møretrø, H P Suso, A Wold Åsli, A Belarbi, A Kohler.   

Abstract

The application of Fourier Transform Infrared Spectroscopy for characterization of yeasts is growing rapidly. Since it is known that the phenotypic expression of yeast cells depends sensitively on the nutrients that are available in the growth medium, one standardized growth medium is usually used for identification and characterization purposes in order to obtain reproducible FTIR signals. Since our recently developed high-throughput micro-cultivation protocol has the capacity to use more than one standardized growth medium, we wanted to investigate if the parallel use of multiple growth media can improve identification results. For this purpose, five different cultivation media (YP, YPD, YMB, SAB and SD) were used. In total 91 food spoilage yeast strains of 12 different genera were cultivated in different cultivation media and subsequently characterized by FTIR spectroscopy. For spectral identifications, Radial Basis Function-Partial Least Squares (RBF-PLS) was used in combination with cross-model validation where an inner cross-validation loop was used to optimize the model, while in an outer loop an independent test set was kept aside to test the optimized model. Sensitivity and specificity were evaluated for each studied genus class. The results show that the YMB selective medium gave the best discrimination results for 9 of the 12 genera with sensitivity above 90%. Only three genera showed better identification results on other media (Clavispora and Metschnikowia on medium SD, Debaryomyces on medium YPD). We therefore suggest to use the media SD, YPD in combination with the YMB medium for the identification of food spoilage yeasts.

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Year:  2013        PMID: 23741734     DOI: 10.1039/c3an00304c

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  6 in total

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Authors:  Margarita Smirnova; Valeria Tafintseva; Achim Kohler; Uladzislau Miamin; Volha Shapaval
Journal:  Biology (Basel)       Date:  2022-06-09

2.  Merging FT-IR and NGS for simultaneous phenotypic and genotypic identification of pathogenic Candida species.

Authors:  Claudia Colabella; Laura Corte; Luca Roscini; Volha Shapaval; Achim Kohler; Valeria Tafintseva; Carlo Tascini; Gianluigi Cardinali
Journal:  PLoS One       Date:  2017-12-04       Impact factor: 3.240

3.  Microcultivation and FTIR spectroscopy-based screening revealed a nutrient-induced co-production of high-value metabolites in oleaginous Mucoromycota fungi.

Authors:  Simona Dzurendova; Boris Zimmermann; Achim Kohler; Valeria Tafintseva; Ondrej Slany; Milan Certik; Volha Shapaval
Journal:  PLoS One       Date:  2020-06-22       Impact factor: 3.240

4.  Isolation and characterization of fast-growing green snow bacteria from coastal East Antarctica.

Authors:  Margarita Smirnova; Uladzislau Miamin; Achim Kohler; Leonid Valentovich; Artur Akhremchuk; Anastasiya Sidarenka; Andrey Dolgikh; Volha Shapaval
Journal:  Microbiologyopen       Date:  2020-12-29       Impact factor: 3.904

5.  Fourier transform infrared spectroscopy for the prediction of fatty acid profiles in Mucor fungi grown in media with different carbon sources.

Authors:  Volha Shapaval; Nils Kristian Afseth; Gjermund Vogt; Achim Kohler
Journal:  Microb Cell Fact       Date:  2014-09-11       Impact factor: 5.328

6.  Aspergillus caespitosus ASEF14, an oleaginous fungus as a potential candidate for biodiesel production using sago processing wastewater (SWW).

Authors:  Naganandhini Srinivasan; Kiruthika Thangavelu; Ashika Sekar; B Sanjeev; Sivakumar Uthandi
Journal:  Microb Cell Fact       Date:  2021-09-09       Impact factor: 5.328

  6 in total

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