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Record W4210991691 · doi:10.32920/ryerson.14661849

Fortification and Retention of Vitamin D₃ in Cheddar Cheese, Yogurt and Ice Cream

2021· preprint· en· W4210991691 on OpenAlexaff
Syed Arif Kazmi

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIce creamFortificationVitaminFood scienceChemistryBiochemistry

Abstract

fetched live from OpenAlex

Investigations were conducted into the fortification and retention of Vitamin D3 in cheddar cheese, yogurt and ice cream. Two different formulations of vitamin D3 were used to fortify these products: a water-dispersible emulsion of vitamin D3 (Vitex D) and crystalline vitamin D3 dissolved in ethanol. A newly-developed extraction method followed by reverse phase High Pressure Liquid Chromatography analysis was used to assess vitamin D3 retention in these products. Stability studies of vitamin D3 in cheddar cheese aged for three months, in yogurt aged for one month, and in ice cream aged for one month were made. There were no significant differences in the recovery of vitamin D3 between the two formulations of vitamin D3 used in any of the products (P>0.05). The recovery of vitamin D3 in cheese, whey, yogurt and ice cream immediately after processing was 87-90%, 7-9%, 97-99% and 99-100% respectively. However, retention of vitamin D3 in cheese, yogurt and ice cream over the storage periods was 93-100%, 100-102% and 98-99% respectively. In conclusion, cheese, yogurt and ice cream were good vehicles for vitamin D3 fortification, using either form.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.045
GPT teacher head0.335
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

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