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Record W2192891290 · doi:10.5539/jfr.v5n1p1

Malting Process Effects on Antioxidant Activity of Finger Millet and Amaranth Grains

2015· article· en· W2192891290 on OpenAlexaffvenue
Sara Najdi Hejazi, Valérie Orsat

Bibliographic record

VenueJournal of Food Research · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed and Plant Biochemistry
Canadian institutionsMcGill University
Fundersnot available
KeywordsAmaranthEleusineABTSGerminationAntioxidantDPPHFood scienceChemistryFinger milletPhenolPhenolsHorticultureAgronomyBiologyBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Finger millet (Eleusine coracana) and amaranth (Amaranthus caudatus) are two nutritious and gluten-free grains with high contents of phenolic compounds. Phenols are known as the main source of antioxidants, with numerous health benefits. Being rich in phenol makes these grains good choices for the functional food industry. In this study, the effects of malting/germination factors, duration and temperature, on the phenolic content and antioxidant activities of these grains are thoroughly investigated and optimized. Based on a central composite design, the grains were germinated for 24, 36, and 48 hrs at 22, 26, and 30. Both temperature and duration factors are found to be significantly influential on the monitored quantities. While malting of amaranth grains for 48 hrs at 26 increased the total phenol content four times, in case of millet, a 25% reduction was observed. Linear correlations between the included phenol content and antioxidant activity in terms of DPPH and ABTS scavenging activities were observed.

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 head0.104
GPT teacher head0.336
Teacher spread0.232 · 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

Citations9
Published2015
Admission routes2
Has abstractyes

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