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Record W4299852422

Ginger powder protects soybean oil from oxidative degradations especially vitamin E during intermittent frying of plantain chips

2017· preprint· en· W4299852422 on OpenAlexfundno aff
Claudia Tchangang Tchouaksso, Germain Kansci, N.A. Tchana, Micheline Ngambo, Claude Génot

Bibliographic record

VenueProdinra (INRA Bordeaux-Aquitaine) · 2017
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicBanana Cultivation and Research
Canadian institutionsnot available
FundersInstitut National de la Recherche AgronomiqueAgence Universitaire de la Francophonie
KeywordsVitamin EFood scienceOxidative phosphorylationSoybean oilVitaminOxidative damageChemistryOxidative stressAntioxidantBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

This study aimed at evaluating the potential of ginger powder to improve the oxidativestability of soybean oil during intermittent frying of plantain chips. Plantain slices werefried in soybean oil with and without 15 g/l of ginger powder.The oils sampled during 5days of intermittent frying were analyzed for total polar compounds, conjugamalondialdehyde, vitamin E and fatty acid composition. The results showed that thepresence of ginger limited the oxidative deteriorations. Based on comparison of the resultsof the two types of frying, the formation of total polar compounds, conjugated dienesmalondialdehyde, were reduced respectively by 26.9%, 12.5% and 2.6%while up to 42.4%of vitamin E, and 39 % polyunsaturated fatty acids were preserved. So, the use of gingerpowder during intermittent frying of plantain chips could be an nutritional quality of soybean oils.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.045
GPT teacher head0.276
Teacher spread0.231 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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