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Record W2351600760

Study on antioxidantive action mode of egg white-derived peptides in vitro

2013· article· en· W2351600760 on OpenAlexaff
Chi Yu

Bibliographic record

VenueShipin anquan zhiliang jiance xuebao · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsScience North
Fundersnot available
KeywordsChemistryHydroxyl radicalAntioxidantLipid peroxidationPyrogallolEgg whiteSuperoxideDPPHAutoxidationLinoleic acidBiochemistryRadicalChelationChromatographyNuclear chemistryOrganic chemistryEnzymeFatty acid
DOInot available

Abstract

fetched live from OpenAlex

Objective To investigate antioxidantive action mode of egg white-derived peptides in vitro.Methods The egg white-derived peptides were separated by ultrafiltration from egg white protein hydrolysates(EWPHs) produced by papain into three fractions. The hydroxyl radical, superoxide anion scavenging activities and lipid peroxidation inhibition of three fractions were detected by the methods related to Fenton system, pyrogallol autoxidation, and linoleic acid emulsion system. The reducing power, DPPH radical scavenging activities and alleviation of H2O2-induced oxidative stress on porcine embryonic fibroblast(PEF) cell were also determined. Results EWPH-Ⅲ(MW3 kDa) accounted for 50.06% of the total amount of EWPHs. The values of hydroxyl radical, superoxide anion and DPPH radical scavenging activities were 52.86%, 35.05% and78.74% at the concentration of 5mg/mL, respectively. The percentage of inhibition of lipid peroxidation was74.57% at the same concentration. The cell survival rate reached 70.06% at the concentration of 2.5mg/mL.EWPH exhibited significant increase(P0.05) in antioxidant activity with a decrease in molecular weight of fraction values. Conclusion EWPH could act as a metal ion chelator, a hydrogen donor, as well as a radical stabilizer to inhibit lipid oxidation because of its antioxidant activity.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.134
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.024
GPT teacher head0.297
Teacher spread0.273 · 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 teacher head, 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
Published2013
Admission routes1
Has abstractyes

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