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Record W2252989179 · doi:10.1021/acs.jafc.5b06078

Addition of an Enzymatic Hydrolysate of Bovine Globulins to Bread and Determination of Hypotensive Effects in Spontaneously Hypertensive Rats

2016· article· en· W2252989179 on OpenAlexaff
Tomás Lafarga, Eimear Gallagher, Rotimi E. Aluko, Mark A.E. Auty, María Hayes

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsUniversity of Manitoba
FundersTeagascDepartment of Agriculture, Food and the Marine, Ireland
KeywordsHydrolysatePapainIn vivoChemistryConfocal laser scanning microscopyFood scienceGlobulinEnzymeOral administrationPharmacologyBiochemistryMedicineInternal medicineBiotechnologyBiologyHydrolysis

Abstract

fetched live from OpenAlex

The aim of this study was to develop bread containing a papain hydrolysate of bovine α- and β-globulins (GPH) with in vitro and in vivo antihypertensive activities. The physical characteristics of the formulated bread were assessed over a six day period and results suggested that the overall quality and acceptance of bread was not affected by the inclusion of GPH at a concentration of 4% (w/w). Bright field light microscopy and confocal scanning laser microscopy images were used to visualize the main ingredients of the bread. In addition, the antihypertensive activity of the bread was assessed in spontaneously hypertensive rats (SHRs) over a 24 h period where a maximum significant decrease in systolic blood pressure of 36.2 ± 1.9 mmHg was observed 8 h after oral administration. Results demonstrate that the antihypertensive activity of GPH was resistant to the baking process and shows potential for use as a functional antihypertensive 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 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 score0.027
Threshold uncertainty score0.245

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 head0.004
GPT teacher head0.194
Teacher spread0.190 · 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

Citations41
Published2016
Admission routes1
Has abstractyes

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