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Concentration effect of Riesling Icewine juice on yeast performance and wine acidity

2007· article· en· W1596682215 on OpenAlexafffund
G.M. Pigeau, Elisa Bozza, Klaus-Peter Kaiser, Debra Inglis

Bibliographic record

VenueJournal of Applied Microbiology · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of CanadaLallemandSociety for Applied Microbiology
KeywordsTitratable acidFood scienceAcetic acidSugarChemistryYeastWineBrixFermentationEthanolTartaric acidEthanol fuelEthanol fermentationBiochemistryCitric acid

Abstract

fetched live from OpenAlex

AIMS: The objective of this study was to determine the effect of increasing juice soluble solids above 40 degrees Brix on wine yeast's ability to grow and ferment the juice, with particular focus on acetic acid production, titratable acidity (TA) changes and the maximum amount of sugar consumed by the yeast. METHODS AND RESULTS: Riesling Icewine juices at 40, 42, 44 and 46 degrees Brix were inoculated with K1- V116 at 0.5 g 1(-1) and fermented at 17 degrees C until sugar consumption ceased. Increasing soluble solids showed strong negative linear correlations with yeast growth, sugar consumption and ethanol production (r = -0.999, -0.997 and 0.984, P < 0.001, respectively). Acetic acid, glycerol and TA production normalized to sugar consumed showed strong positive correlations to the initial juice concentration (r = 0.992, 0.963, and 0.937, P < 0.001 respectively) but no correlation was found for ethanol production. The acetic acid produced as a function of sugar consumed was positively correlated to the glycerol produced (r = 0.970, P < 0.001). The final TA of the wines ranged between 11.8 and 13.7 g 1(-1) tartaric acid, increasing by 2.3-3 g 1(-1) over the starting juice. The increase in TA was positively correlated to the increase in acetic acid produced after normalizing the data to the amount of sugar consumed (r =0.975, P < 0.001). The acid equivalents resulting from the increase in acetic acid accounted for 80-100% of the TA increase when converted to units of tartaric acid. In the final Icewines, acetic acid represented 19-20% of wine TA. CONCLUSIONS: Increasing Icewine juice concentration from 40 to 46 degrees Brix increases the proportion of yeast sugar metabolism towards glycerol and acetic acid production to cope with the increased osmotic stress by decreasing yeast growth, sugar consumption rate, the total amount of sugar consumed and the total amount of ethanol produced. The high proportional contribution of acetic acid to titratable acidity in Riesling Icewine may affect acidity perception. SIGNIFICANCE AND IMPACT OF THE STUDY: We have determined that 10% v/v ethanol would not be achievable with initial juice concentrations above 42 degrees Brix and that Riesling Icewine juice above 52.5 degrees Brix would be theoretically unfermentable. The high proportional contribution of acetic acid to TA may be an important factor in the organoleptic balance of these Icewines.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.103

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.210
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations46
Published2007
Admission routes2
Has abstractyes

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