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Record W2549958974 · doi:10.20286/jmbs-050306

The value of tamarind (Tamarindus indica L.) pulp and its potential use in vinegar production

2016· article· en· W2549958974 on OpenAlexvenueno aff
Safiya Altuhami Ballal Taha, Abd Elazeem Ahmed Mohamed Nour, Abd Elmoneim O. Elkhalifa

Bibliographic record

VenueNova Journal of Medical and Biological Sciences · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPulp (tooth)BrixChemistryFood scienceSignificant differenceFermentationMathematicsHorticultureBiologySugarMedicine

Abstract

fetched live from OpenAlex

Background: The objectives of this work are to study the physicochemical properties of tamarind fruit pulp for production of vinegar and to evaluate the quality characteristics of the produced vinegar.Methods: Two samples of tamarind were used in this study, sample A from Eastern Sudan and B from Western Sudan. They were analyzed for their physical, chemical composition and minerals content.Results: The acidity (%), total soluble solid, TSS Brix and pH values of tamarinds fruit pulp showed that sample A scored the higher value 28.87%, 42.2 Brix in acidity and TSS, respectively. All proximate analysis parameters determined were significantly different (P≤ 0.05) in the two samples except the ash content. Results showed that tamarind samples contain high amounts of Ca (149.13 – 174.19 mg/100g), in addition to Fe (68.94 – 80.67 mg/100g). The P content of the two samples was very low (3.63 – 9.06 mg/100g). For vinegar production, the fruit pulp was first digested and fermented with Saccharomyces cerevisae, and then acidified with Acetobacteraceti. No significant difference (P ≥0.05) was observed between samples A and B in refractive index, density (g/cm3) and pH between the two samples. After acidification step, the same properties were also estimated, the result were 1.35, 0.95(g/cm3) and 2.05, respectively for sample A, and 1.34, 0.94(g/cm3), 2.18 for, respectively for sample B. Sample B had the higher concentration vinegar (18.14%) compared to sample A (17.18%).Conclusion: tamarind fruit pulp could be recommended for vinegar production.Keywords: Tamarind, Physicochemical properties, Minerals, Vinegar quality.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.058
GPT teacher head0.258
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

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 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

Citations6
Published2016
Admission routes1
Has abstractyes

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