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Influence of storage conditions on the sensory quality of a high acid apple

2010· article· en· W1776085188 on OpenAlexaboutno aff
Marcos Guerra, Miguel A. Sanz, Pedro A. Casquero

Bibliographic record

VenueInternational Journal of Food Science & Technology · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPostharvest Quality and Shelf Life Management
Canadian institutionsnot available
Fundersnot available
KeywordsTitratable acidFood scienceSensory systemCold storageChemistryQuality (philosophy)Sensory analysisMathematicsHorticulturePsychologyBiology

Abstract

fetched live from OpenAlex

Summary Studies involving sensory analysis and consumer acceptance have not been reported for high acid apples. The objectives of this work were to determine (i) the influence of storage condition on sensory quality and (ii) which instrumental attributes would influence good consumer acceptability of a high acid apple, ‘Reinette du Canada’. Textural descriptors including firmness, crispness and juiciness and acidity decreased during storage irrespective of the storage condition, with fruit stored in cold storage (CS) having lower sensory scores than fruit stored in controlled atmospheres (CA). Consumer acceptance decreased significantly during storage, although loss of quality in the CS fruit was significantly greater than in the CA‐stored fruit. It must be emphasised that titratable acidity (TA) played a positive role in consumer acceptability. As hue, firmness and TA were the instrumental properties that best correlated with consumer acceptance, these instrumental properties would be useful for predicting during long‐term storage, the consumer acceptability of a high acid apple such as ‘Reinette du Canada’.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.269
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.034
GPT teacher head0.300
Teacher spread0.266 · 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

Citations18
Published2010
Admission routes1
Has abstractyes

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