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Record W2391319367

Influence of different initial pH and heating time on characteristic of the porcine bone protein hydrolysate Maillard products

2013· article· en· W2391319367 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueScience and Technology of Food Industry · 2013
Typearticle
Languageen
FieldMedicine
TopicBiochemical effects in animals
Canadian institutionsScience North
Fundersnot available
KeywordsMaillard reactionChemistryBrowningHydrolysateFlavorFood scienceNitrogenXyloseChromatographyBiochemistryOrganic chemistryHydrolysisFermentation
DOInot available

Abstract

fetched live from OpenAlex

To study the influence of initial pH and heating time on products of Maillard reaction,porcine bone protein hydrolysates and glucose-xylose model systems were employed. The results showed that,with the increase of initial pH,intermediate products of Maillard reaction appeared first increased and then decreased and reached maximum at pH8.0,amino-acid nitrogen loss rate increased with the increase of initial pH,with the prolongation of heating time,intermediate products of Maillard reaction and amino-acid nitrogen loss rate increased at the same time. L* value and degree of browning showed complementary decreasing and increasing trend when initial pH and heating time increased. The best sensory qualities of Maillard products were obtained at the initial pH of 7.0 ~7.5,40 ~60min. In summary,initial pH7.0 and heating time 40min were selected as the optimum reaction conditions. The flavor product obtained by this conditions had natural fragrance flavor and attractive color.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
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 head0.009
GPT teacher head0.237
Teacher spread0.229 · 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