期刊
MICROORGANISMS
卷 9, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/microorganisms9030654
关键词
yeasts; wine; adhesion properties; cleaning agents; MATs
类别
资金
- University of Teramo FARDIB-2019
- Progetto Sviluppo della qualita delle produzioni vitivinicole abruzzesi [DM61315]
Yeasts isolated from filter membranes used for quality control of bottled wines showed varying resistance to cleaning agents and potassium metabisulphite, with strains belonging to the Pichia genus forming MAT structures. Different adhesion properties were observed among species, with Candida parapsilosis being the most sensitive to sanitizers. These findings can be valuable in developing sustainable strategies to reduce wine contamination and establish tailored sanitizing procedures.
In this study, yeasts isolated from filter membranes used for the quality control of bottled wines were identified and tested for their resistance to some cleaning agents and potassium metabisulphite, adhesion to polystyrene and stainless-steel surfaces, and formation of a thin round biofilm, referred to as a MAT. A total of 40 strains were identified by rRNA internal transcribed spacer (ITS) restriction analysis and sequence analysis of D1/D2 domain of 26S rRNA gene. Strains belong to Pichia manshurica (12), Pichia kudriavzevii (9), Pichia membranifaciens (1), Candida sojae (6), Candida parapsilosis (3), Candida sonorensis (1), Lodderomyces elongisporus (2), Sporopachydermia lactativora (3), and Clavispora lusitaniae (3) species. Regarding the adhesion properties, differences were observed among species. Yeasts preferred planktonic state when tested on polystyrene plates. On stainless-steel supports, adhered cells reached values of about 6 log CFU/mL. MAT structures were formed only by yeasts belonging to the Pichia genus. Yeast species showed different resistance to sanitizers, with peracetic acid being the most effective and active at low concentrations, with minimum inhibitory concentration (MIC) values ranging from 0.08% (v/v) to 1% (v/v). C. parapsilosis was the most sensible species. Data could be exploited to develop sustainable strategies to reduce wine contamination and establish tailored sanitizing procedures.
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