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Record W2744213808 · doi:10.6000/1927-5129.2017.13.68

Effect of Different Packaging Materials on Chemical Composition of Fried Onion (Allium cepa L.): A Comparative Study

2017· article· en· W2744213808 on OpenAlexvenueno aff
Umair Khatri, Saghir Ahmed Sheikh, Abdul Qadir khatri, Aasia Akbar Panhwar, Aijaz Hussain Soomro

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGarlic and Onion Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAlliumTitratable acidFood scienceFood packagingComposition (language)PolyethyleneHorticultureChemistryMathematicsBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Onion is a commonly used vegetable in entire world. The onions have been utilized as a main component in many recipes by different cultures for thousands of years. Due to its significant medicinal properties, nutritional and energy value, onions (Allium cepa L.) impart numerous health benefits to consumers. Therefore, a comparative study was conducted to evaluate the effect of various packaging materials (T1= Polyethylene bags, T2= Aluminum foil, T3= Butter paper and T0= without packaging) on physico-chemical characteristics of fried onion.During storageat the Institute of Food Sciences and Technology, Sindh Agriculture University Tandojam. The pH value, titratable acidity (%), moisture (%), ash(%) and total carbohydrates were determined. The results indicated that pH value and total carbohydrates content were significantly affected by storage periods (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)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.040
GPT teacher head0.305
Teacher spread0.265 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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