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Licensed Unlicensed Requires Authentication Published by De Gruyter May 28, 2021

Oenological property analysis of selected Hanseniaspora uvarum isolated from Rosa roxburghii Tratt

  • Xiaozhu Liu ORCID logo EMAIL logo , Yinfeng Li , Hubing Zhao , Zhihai Yu and Mingzheng Huang

Abstract

Oenological yeasts play a crucial role in the winemaking process by converting sugar into ethanol, carbon dioxide and flavor substances that contribute to the wine aroma profile. Eighty strains of yeast were isolated from Rosa roxburghii Tratt. Three of the indigenous yeast strains (numbered as C26, C31 and F110) were selected based on having the strongest fruity-aroma producing ability to further evaluate theirs oenological properties, and they were identified as Hanseniaspora uvarum based on morphological and molecular analyses. Strains tolerance results showed that the selected strains have glucose, citric acid and sulfur dioxide tolerances that are comparable to commercial Saccharomyces cerevisiae X16, but they are ethanol sensitive. Additionally, the H. uvarum strains had similar β-glucosidase production abilities to the control, but they do not produce hydrogen sulfide. Moreover, the selected H. uvarum strains reduced the acidity and increased the volatile aroma richness and complexity of R. roxburghii wine during laboratory-scale fermentation. Thus, the selected H. uvarum strains (C26, C31 and F110) show potential in the production of unique R. roxburghii wine.


Corresponding author: Xiaozhu Liu, Guizhou Institute of Technology, Guiyang550003, Guizhou, China, E-mail:

Funding source: Science and Technology Program of Guizhou Province

Award Identifier / Grant number: Talents of Guizhou Science Cooperation Platform [2017]5789, [2018]5603

Funding source: Innovation Group Research Project

Award Identifier / Grant number: Guizhou Provincial Education Department; KY 201704

Funding source: High-level Talent Research Funding Project

Award Identifier / Grant number: Guizhou Institute of Technology; XJGC20190625

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This study was supported by the Science and Technology Program of Guizhou Province (Talents of Guizhou Science Cooperation Platform; [2017]5789, [2018]5603), the Innovation Group Research Project (Guizhou Provincial Education Department; KY 2017046), and the High-level Talent Research Funding Project (Guizhou Institute of Technology; XJGC20190625).

  3. Conflict of interest statement: None declared.

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Received: 2020-12-14
Accepted: 2021-04-19
Published Online: 2021-05-28

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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