| Title |
Impacts of variations in elemental nutrient concentration of Chardonnay musts on Saccharomyces cerevisiae fermentation kinetics and wine composition
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, April 2011
|
| DOI | 10.1007/s00253-011-3197-3 |
| Pubmed ID | |
| Authors |
Simon A. Schmidt, Simon Dillon, Radka Kolouchova, Paul A. Henschke, Paul J. Chambers |
| Abstract |
Chardonnay, being the predominant white wine-grape cultivar in the Australian wine sector, is subject to widely varying winemaking processes with the aim of producing a variety of wine styles. Therefore, juice composition might not always be ideal for optimal fermentation outcomes. Our aim was to better understand the composition of Chardonnay juice and how compositional parameters impact on fermentation outcomes. This was achieved through a survey of 96 commercially prepared Chardonnay juices during the 2009 vintage. Common juice variables were estimated using near infrared spectroscopy, and elemental composition was determined using radial view inductively coupled plasma optical emission spectrometry. The influence of elemental composition on fermentation outcomes was assessed by fermentation of a defined medium formulated to reflect the composition and range of concentrations as determined by the juice survey. Yeast (Saccharomyces cerevisiae) strain effects were also assessed. Key parameters influencing fermentation outcomes were verified by laboratory scale fermentation of Chardonnay juice. This exploration of Chardonnay juice identified interactions between juice pH and potassium concentration as key factors impacting on fermentation performance and wine quality. Outcomes differed depending on yeast strain. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Portugal | 1 | 2% |
| Australia | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 55 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 24% |
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 9 | 15% |
| Student > Bachelor | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 59% |
| Chemistry | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Engineering | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 7 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 November 2011.
All research outputs
#19,611,252
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,478
of 8,034 outputs
Outputs of similar age
#98,737
of 112,288 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#60
of 62 outputs
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