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Record W2321710569 · doi:10.1021/jf102307f

Effects of Deamidation on Structure and Functional Properties of Barley Hordein

2010· article· en· W2321710569 on OpenAlexaff
Jing Zhao, Zhigang Tian, Lingyun Chen

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHordeinDeamidationChemistrySolubilityChromatographyFourier transform infrared spectroscopyHydrolysisSize-exclusion chromatographyPlant proteinStorage proteinFood scienceChemical engineeringOrganic chemistryBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Deamidated hordeins of various deamidation degree (DD) ranging from 0.7 to 40% were prepared using an alkaline method. The hordein peptide bond cleavage, secondary structure, surface charge and hydrophobicity as well as their solubility, emusifying and foaming properties were studied as a function of DD value. SDS-PAGE, size exclusion chromatography (SEC) and Fourier transform infrared (FTIR) results suggest that limited deamidation (≤ 4.7%) could dissociate hordein aggregates, leading to great increase of the protein solubility and surface hydrophobicty. A further increase of the DD value greater than 4.7% resulted in extensive protein hydrolysis and a marked change of protein secondary structure. The optimal functionalities were obtained at a narrow DD range (2.4-4.7%), where hordein samples demonstrated significantly improved solubility and the emulsifying and foaming properties at both acidic and neutral pHs. These results suggest that deamidated hordein would be an excellent candidate to be developed as an emulsifying and foaming ingredient.

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 head0.008
GPT teacher head0.162
Teacher spread0.154 · 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

Citations62
Published2010
Admission routes1
Has abstractyes

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