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SENSORY AND NUTRITIONAL QUALITY OF THE APPLE SNACKS PREPARED BY VACUUM IMPREGNATION PROCESS

2010· article· en· W2136558655 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Food Quality · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPostharvest Quality and Shelf Life Management
Canadian institutionsNova Scotia Department of Agriculture
FundersDepartment of Agriculture, Nova Scotia
KeywordsFood scienceBrowningChemistryCalciumVitamin CVitaminSensory systemBiochemistryBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

ABSTRACT The purpose of the present study was to evaluate the sensory and nutritional quality aspects of dried apple slices that had been prepared by giving three different pretreatments (vacuum impregnation [VI] treatment, anti‐browning treatment and untreated control). Descriptive sensory analysis carried out by trained panelists revealed that chip crispiness and crunchiness were improved by the VI in comparison to the other treatments. As compared to untreated apple slices, incorporation of calcium and vitamin E in dipping solution resulted in uptake of calcium (760 mg/100 g) and vitamin E (168 mg/100 g) in the fruit matrix, which can be used to meet the daily requirement for calcium and vitamin E in the consumer's diet. PRACTICAL APPLICATIONS The eco‐friendly processes like vacuum impregnation can be utilized in developing dried apple snacks to improve the sensory attributes and introduce quality‐enhancing food additives, such as calcium salt and natural flavors, as well as minerals, vitamins and bioactives for meeting the daily dietary requirements and promoting health benefits to the consumer.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.150

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.043
GPT teacher head0.304
Teacher spread0.261 · 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