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Record W7038419414

Ice cider product development : effects of concentration, yeast strains and processing conditions on biochemical and sensory quality traits

2016· other· en· W7038419414 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEpsilon Archive for Student Projects (University of Southampton) · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSugarFermentationWineYeast in winemakingYeastFree amino nitrogenAlcohol contentFruit wineIce cream
DOInot available

Abstract

fetched live from OpenAlex

Ice cider is produced by fermenting apple juice that has been concentrated by freezing (cryoconcentration or cryoextraction). Ice cider is more a sweet wine than a cider, with an intense apple flavour and sweetness, and acidity to balance the flavours. It originates from Canada, where specifications includes a pre-fermentation sugar content of not less than 30 °Brix, and a finished product with a residual sugar content of not less than 130 g/l, containing 7-13 % alcohol. This project aims to investigate and document some of the aspects of ice cider production process for Swedish conditions. The ambition is to start building experience and knowledge useful for ice cider production in Sweden. The scientific documentation on ice cider fermentation and biochemical properties of cryoconcentrated apple juice is very limited. In this project factors important for the quality of cider and ice wine were reviewed, and methods for producing ice cider through cryoconcentration and subsequent fermentation were evaluated. It was demonstrated in this project that concentrating the apple juice by cold has an equally concentrating effect on sugars, total acids and total phenolics. It was also demonstrated that the level of concentration of the juice highly influences the fermentation kinetics and output. Higher sugar level slowed down the rate of fermentation, and the amount of ethanol produced was lower. In order to produce a good ice cider, the juice needs to be sufficiently concentrated to produce the alcohol content and residual sugar level that defines the product, while not be too concentrated and place excessive hyperosmotic stress upon the yeast cells, resulting in slow and potentially stuck fermentations. The juice needs to hold a minimum of 32 °Brix, while a juice of above 42°Brix will be very difficult to ferment. It was further demonstrated in this project that the selection of yeast strain has an effect on level of ethanol produced, and acid development during fermentation of ice cider. The level of phenolics was found to remain fairly stable across different yeast strains during fermentation. The yeast strain was also demonstrated to have a small impact on the flavour of the ice cider.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.024
GPT teacher head0.294
Teacher spread0.270 · 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