Literature DB >> 20050702

Use of ATR-FTIR microspectroscopy to monitor autolysis of Saccharomyces cerevisiae cells in a base wine.

Matteo Cavagna1, Rossana Dell'Anna, Francesca Monti, Franca Rossi, Sandra Torriani.   

Abstract

In this study, we evaluated the potentialities of ATR-FTIR microspectroscopy coupled to PCA in monitoring the major biochemical changes that occur during the autolysis of yeasts used for sparkling wine production. For this purpose, mid-infrared measurements were made on cells of the model strain Saccharomyces cerevisiae EC1118 in the course of autolysis induced at 30 degrees C for five days in a model and in a base wine. By relating principal component loadings to the corresponding absorption bands, it was shown that they well describe compositional modifications induced by autolytic process on yeast cells, such as partial hydrolysis of proteins, increase of peptides, free nucleotides, lipids, mannans, and beta-1,3 glucans. The corresponding score-score plots allowed us to monitor the different kinetics and to distinguish among faster, intermediate, and slower processes. ATR-FTIR microspectroscopy coupled with PCA is proposed as a sensitive method that can provide useful information to select efficient yeast strains, capable of accelerated autolysis, to be used in the second fermentation and aging of sparkling wines.

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Year:  2010        PMID: 20050702     DOI: 10.1021/jf902369s

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  15 in total

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3.  Identification and a phased pH control strategy of diosgenin bio-synthesized by an endogenous Bacillus licheniformis Syt1 derived from Dioscorea zingiberensis C. H. Wright.

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Journal:  Appl Microbiol Biotechnol       Date:  2021-11-29       Impact factor: 4.813

4.  Protective effects of peptides on the cell wall structure of yeast under osmotic stress.

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Journal:  Microb Cell Fact       Date:  2017-11-28       Impact factor: 5.328

8.  A rapid method for the differentiation of yeast cells grown under carbon and nitrogen-limited conditions by means of partial least squares discriminant analysis employing infrared micro-spectroscopic data of entire yeast cells.

Authors:  Julia Kuligowski; Guillermo Quintás; Christoph Herwig; Bernhard Lendl
Journal:  Talanta       Date:  2012-06-20       Impact factor: 6.057

9.  Determination of carbohydrates present in Saccharomyces cerevisiae using mid-infrared spectroscopy and partial least squares regression.

Authors:  Maria R Plata; Cosima Koch; Patrick Wechselberger; Christoph Herwig; Bernhard Lendl
Journal:  Anal Bioanal Chem       Date:  2013-08-21       Impact factor: 4.142

10.  Single cell assessment of yeast metabolic engineering for enhanced lipid production using Raman and AFM-IR imaging.

Authors:  Kamila Kochan; Huadong Peng; Bayden R Wood; Victoria S Haritos
Journal:  Biotechnol Biofuels       Date:  2018-04-10       Impact factor: 6.040

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