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VISCOELASTIC AND THERMAL CHARACTERISTICS OF VEGETABLE PUREE‐BASED BABY FOODS

2006· article· en· W1985086439 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.

Bibliographic record

VenueJournal of Food Process Engineering · 2006
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsMcGill University
Fundersnot available
KeywordsViscoelasticityRheologyDifferential scanning calorimetryDynamic modulusDynamic mechanical analysisWaxViscometerStarchStarch gelatinizationMaterials scienceFood scienceChemistryComposite materialViscosityThermodynamicsPolymer

Abstract

fetched live from OpenAlex

ABSTRACT Viscoelastic properties of three commercial vegetable puree‐based baby foods (pea, corn and wax bean) were evaluated in the temperature range of 20 to 80C using dynamic oscillatory viscometry, and the thermal properties were evaluated using a standard differential scanning calorimeter (DSC) (−10 to 100C). Test samples behaved like viscoelastic fluids with consistently higher magnitudes of storage modulus ( G ′) as compared to loss modulus ( G ″) in an oscillatory frequency ( ω ) range between 0.628 and 62.800 rad/s. Both G ′ and G ″ versus ω data were well fitted by a power‐type relationship at all temperatures employed in the study. However, the derived power‐law parameters of G ′ and G ″ showed no consistent trends with temperature. Both pea and wax bean purees exhibited similar viscoelastic patterns with an increase in both G ′ and G ″ at 50C, somewhat coinciding with the initiation of starch gelatinization. However, the corn puree exhibited a stronger elastic characteristic with starch gelatinization occurring around 80C. The rheological measurements were well supported by the calorimetric data from the DSC.

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)0.000
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 score0.083
Threshold uncertainty score0.436

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 head0.008
GPT teacher head0.206
Teacher spread0.199 · 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