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Record W2884898832 · doi:10.1016/j.lwt.2018.07.020

Applications and effects of monoglycerides on frozen dessert stability

2018· article· en· W2884898832 on OpenAlexaff
Lai Yee Lee, Nyuk Ling Chin, Edward Christensen, Chea Lim, Yus Aniza Yusof, Rosnita A. Talib

Bibliographic record

VenueLWT · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsDiscovery Centre
Fundersnot available
KeywordsDegree of unsaturationMonoglycerideChemistryFood scienceChromatographyOrganic chemistryFatty acid

Abstract

fetched live from OpenAlex

The main variations in monoglycerides are its fatty acid composition and degree of unsaturation. This study aimed to evaluate monoglycerides of different degree of unsaturation on stability of ice creams, which is also known as frozen desserts because of vegetable fat usage. This was in view of the fact that saturated monoglycerides and its blend with polysorbate 80 had been used historically in ice creams formulations instead of unsaturated monoglycerides. Stability in terms of aeration performances were measured through quantification of fat globules size distribution, meltdown resistance and heat shock stability. The meltdown rate between the saturated and unsaturated monoglycerides was 0.17–0.26% per min and 0.12–0.19% per min respectively. Frozen desserts with meltdown rate below 0.2% per min was defined to have good meltdown resistance performance. Unsaturated monoglycerides performed better than saturated monoglycerides alone and saturated monoglycerides blended with polysorbate 80 in frozen dessert stability.

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 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 score0.032
Threshold uncertainty score0.162

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)0.0000.000

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 head0.006
GPT teacher head0.236
Teacher spread0.230 · 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

Citations12
Published2018
Admission routes1
Has abstractyes

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