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Record W2355798331

Physicochemical properties and antioxidant activity of Maillard reaction products from pig bone protein hydrolysate and reducing sugar model system

2013· article· en· W2355798331 on OpenAlexaff
Baohua Kong

Bibliographic record

VenueFood Science and Technology International · 2013
Typearticle
Languageen
FieldMedicine
TopicBiochemical effects in animals
Canadian institutionsScience North
Fundersnot available
KeywordsMaillard reactionChemistryHydrolysateAntioxidantFood scienceABTSBrowningPentosidineFructoseReducing sugarHydroxyl radicalGlycationSugarGalactoseHydroxideBiochemistryDPPHOrganic chemistryHydrolysis
DOInot available

Abstract

fetched live from OpenAlex

This study mainly investigated the effect of Maillard reaction modification on physicochemical properties and antioxidant activity of pig bone protein hydrolysate,Maillard reaction products were prepared by heating mixture of the pig bone protein hydrolysate and reducing sugars(D-glucose,D-fructose,D-galactose) at ratio 1:1 for 0~6 h,in 95 ℃ water bath.And physicochemical properties and antioxidant activity were also determined.The results showed that,as heating time increased,the pH value,free amino group content of the model systems were significantly decreased(P0.05),intermediate products(A294 nm) and browning products(A420 nm) were significantly increased(P0.05),and the antioxidant activity of MRPs were significantly increased(P0.05) which indicated by reducing power,ABTS radical and hydroxide radical scavenging activity.MRPs derived from pig bone protein hydrolysate and D-galactose model system rendered the highest intermediate and browning products,and also possessed greater reducing power,ABTS radical and hydroxide radical scavenging activity in the three systems.Generally,type of reducing sugars had a remarkable influence on the cross-linking of proteins via glycation,which might be associated with antioxidative activity of MRPs.

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 score0.021
Threshold uncertainty score0.393

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 studies0.0000.001
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 head0.017
GPT teacher head0.231
Teacher spread0.214 · 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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