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Record W1923078350 · doi:10.1016/j.recqb.2015.05.004

Caracterización de patrones de hordeínas en variedades mexicanas de cebada maltera

2015· article· es· W1923078350 on OpenAlexaboutno aff
Marisol Salgado-Albarrán, Jorge Herrera‐Díaz, Tzvetanka D. Dinkova

Bibliographic record

VenueTIP Revista Especializada en Ciencias Químico-Biológicas · 2015
Typearticle
Languagees
FieldNursing
TopicFood composition and properties
Canadian institutionsnot available
Fundersnot available
KeywordsHordeinStorage proteinCultivarProlaminGerminationBiologyFood scienceBotanyBiochemistryGene

Abstract

fetched live from OpenAlex

A group of storage proteins highly abundant in cereal seeds are the prolamins, characterized by the frequent presence of proline in their sequence. The barley prolamins are known as hordeins. The aim of this study was to obtain the hordein banding patterns for five different Mexican barley cultivars in mature seeds. In addition, the hordein patterns in processed malt of four mexican and a canadian (Metcalfe) barley cultivars were obtained. Mass Spectrometry (MS), using distinct digestion protocols, identified differential bands in the patterns. Major differences in the seed patterns between cultivars consisted in discrete bands at 100 kDa, 65 kDa and in the range of 37 to 45 kDa. In malt, the patterns were highly contrasting among Mexican cultivars as well as in Metcalfe, suggesting that hordein processing during germination and malt processing is particular to each cultivar. Finally, the MS identification demonstrated that trypsin digestion is appropriate to distinguish B and γ hordeins in malt, whereas sequential digestion with chymotrypsin and trypsin allows the identification of C hordeins in seed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.031
GPT teacher head0.296
Teacher spread0.266 · 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

Citations9
Published2015
Admission routes1
Has abstractyes

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