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Record W2019555895 · doi:10.5539/sar.v1n2p51

A Comparative Study on Physicochemical and Rheological Properties of Imported Tomato Paste in Nigeria

2012· article· en· W2019555895 on OpenAlexvenueno aff
Sunday Samuel Sobowale, Olawale Paul Olatidoye, Lukumon A. Odunmbaku, O. H. Raji

Bibliographic record

VenueSustainable Agriculture Research · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPolysaccharides Composition and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRheologyViscometerConsistency indexViscosityChemistryFood scienceApparent viscosityAnalytical Chemistry (journal)ThermodynamicsChromatographyPhysics

Abstract

fetched live from OpenAlex

<p>This study was carried out to evaluate the physicochemical properties and rheological behavior of a number of tomato pastes imported by Nigeria food marketers. Chemical composition, color measurement, consistency, viscometry and flow index were determined. There were significant differences among the samples and some of the parameters did not meet the standard requirements set by food drug and administration of (FDA). The viscometry consistency test and flow index at 30<sup> o</sup>C, 45<sup> o</sup>C and 60<sup> o</sup>C indicated the existence of variations among the samples in terms of viscosity and flow index increase as temperature increases. All tomato paste samples in the study were non-Newtonian fluids and the apparent viscosity of the paste decreased with temperature increase. The rheological data obtained were fitted using power law equation. The differences obtained were attributed to raw materials variation and processing conditions.</p>

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.079
GPT teacher head0.336
Teacher spread0.257 · 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 designObservational
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

Citations15
Published2012
Admission routes1
Has abstractyes

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