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Record W2155689626

Simultaneous Inoculation of Malbec (Vitis vinifera) Musts with Yeast and Bacteria: Effects on Fermentation Performance, Sensory and Sanitary Attributes of Wines

2009· article· en· W2155689626 on OpenAlexfundno aff
Ariel Massera, Adriana Soria, Carlos D. Catania, Sibylle Krieger, Mariana Combina

Bibliographic record

VenueUniversity of Zagreb University Computing Centre (SRCE) · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsnot available
FundersAgencia Nacional de Promoción Científica y TecnológicaFondo para la Investigación Científica y TecnológicaLallemand
KeywordsMalolactic fermentationWineFood scienceFermentationWineryWinemakingEthanol fermentationYeastInoculationBacteriaPopulationBrewingOenococcus oeniBiologyFermentation in winemakingChemistryHorticultureLactic acidBiochemistryMedicine
DOInot available

Abstract

fetched live from OpenAlex

Malolactic fermentation has important consequences for the quality of wine. The present study analyzes the effect of timing of inoculation with bacteria on the performance of alcoholic and malolactic fermentation in Malbec musts from a warm climate wine growing region during two consecutive vintages, with a specific consideration for the sensory and sanitary wine parameters. In this study traditional vinification, where malolactic bacteria were inoculated after the completion of alcoholic fermentation, was compared with a simultaneous inoculation with yeast and bacteria. The experiment was made on pilot scale which closely reproduces winery conditions. The obtained results point out that simultaneous inoculation resulted in a reduction of total time of fermentation and a better control of the malolactic fermentation due to the early dominance of a selected bacterial strain. There were no negative effects on yeast population and alcoholic fermentation performance observed. Differences between the wine sensory attributes were no significant or they were in favour of simultaneous inoculations. No statistical differences in the biogenic amine levels between different timings of inoculation were found.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.005
GPT teacher head0.152
Teacher spread0.147 · 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 designObservational
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
Published2009
Admission routes1
Has abstractyes

Explore more

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