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Record W3139109401 · doi:10.1111/ijfs.15038

Effect of processing on bioaccessibility of carotenoids from orange maize products

2021· article· en· W3139109401 on OpenAlexafffund
Yuwei Song, Victoria Ndolo, Bin Xiao Fu, Nancy Ames, Mangani Katundu, Trust Beta

Bibliographic record

VenueInternational Journal of Food Science & Technology · 2021
Typearticle
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsCanadian International Grains InstituteUniversity of Manitoba
FundersGlobal Affairs Canada
KeywordsCarotenoidRoastingFood scienceZeaxanthinOrange (colour)ChemistryFermentationLutein

Abstract

fetched live from OpenAlex

Summary This study assessed the effect of processing including boiling, roasting and fermenting on bioaccessibility of carotenoids (lutein, zeaxanthin, β‐cryptoxanthin, α‐carotene and β‐carotene) from orange maize. Bioaccessibility of carotenoids was analysed using a three‐stage in vitro digestion. High‐performance liquid chromatography was used to analyse the contents of carotenoid compounds in the processed orange maize products and digesta. On average, boiled maize had the highest retention rate (79.0%) of carotenoids followed by fermented porridge (73.8%), fermented maize (68.4%) and unfermented porridge (59.0%). Roasted maize had the lowest retention rate of 56.1%. Without further processing, carotenoids recovery from raw orange maize ranged from 73.0% to 100.5%. After treatments, carotenoids recovery showed varying levels of increase except for fermented maize. The average recovery of carotenoids in whole digesta of boiled maize, roasted maize, fermented porridge and unfermented porridge was 108.5%, 116.9%, 101.9% and 110.7%, respectively.

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)0.001
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.331
Teacher spread0.314 · 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

Citations11
Published2021
Admission routes2
Has abstractyes

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Same venueInternational Journal of Food Science & TechnologySame topicAntioxidant Activity and Oxidative StressFrench-language works237,207