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Record W2129995659

EFFECT OF THERMAL PRETREATMENT AND BATTER COMPOSITION ON FAT ABSORPTION IN DEEP-FAT FRIED BATTER

2010· article· en· W2129995659 on OpenAlexaff
Nicolas Abdel-Nour, Michael Ngadi, Akinbode A. Adedeji

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicEdible Oils Quality and Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsFood scienceChemistryMoistureWater contentAbsorption of waterWheat flourComposition (language)Materials scienceComposite material
DOInot available

Abstract

fetched live from OpenAlex

The effects of batter composition, thermal pretreatment and frying time on mass transfer during deep-fat frying were studied using response surface methodology. Prior to frying, dough composed of wheat and rice flour mixtures (wheat/rice ratio between 0 and 100%) mixed with water at ratio 1:1.3 (mixture:water) were put in closed aluminum cells and preheated in a water bath at temperatures ranging from 60 to 90°C. Then, the samples were fried for 1, 2, 3 and 4 min. A central composite rotatable design was built to study the effects on fat uptake and moisture content of samples. Pre- gelatinization and batter formulation had impact on the degree of fat uptake in deep-fat fried batter coating. The results showed that flour ratios had more impact on fat uptake than pretreatment temperature. Moreover, the interaction between these 2 factors was more significant than their main effects. Batter composed of 75% wheat flour and pre- treated at a temperature of 82.5°C had the minimum optimal points for fat uptake with a value of 3.3% after 4 minutes of frying. The degree of gelatinization and the moisture content under these conditions were 80.55% and 30 % db, respectively.

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 categoriesInsufficient payload (model declined to judge)
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 score0.038
Threshold uncertainty score0.998

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)0.0020.000

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 head0.006
GPT teacher head0.251
Teacher spread0.245 · 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.

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
Published2010
Admission routes1
Has abstractyes

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