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Record W4291312876 · doi:10.1016/j.focha.2022.100083

“Cold caramelization” of glucosamine under UV-C radiation

2022· article· en· W4291312876 on OpenAlexaff
Fuyao Zou, Yuliya Hrynets, M. S. Roopesh, Mirko Betti

Bibliographic record

VenueFood Chemistry Advances · 2022
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsAlberta Ministry of Agriculture and ForestryUniversity of Alberta
Fundersnot available
KeywordsChemistryBrowningGlucosamineFood scienceChromatographyHydroxymethylfurfuralOrganic chemistryFurfuralCatalysis

Abstract

fetched live from OpenAlex

The non-enzymatic browning of glucosamine (GlcN) under UV-C radiation at 25°C, referred to as “cold caramelization”, was examined. Several UV-C exposure times of 0, 20, 60, 120 min at two GlcN concentrations of 15% and 30% were chosen. The physicochemical properties, quantitation of α-dicarbonyl compounds and polyhydroxyalkyl pyrazines, alkylimidazoles and 5-hydroxymethylfurfural were determined in UV-C exposed GlcN caramels. The results revealed the possibility of generating GlcN caramel containing desirable compounds by applying UV-C. Longer UV-C exposure time produced caramel with higher content of glucosone and 3-deoxyglucosone, as well as the GlcN self-condensation products, fructosazine and deoxyfructosazine. Importantly, none of the tested neo-formed contaminants were detected in resulted caramels. Thus, UV-C treatment may be a newly advantageous method for producing GlcN caramel.

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 score0.017
Threshold uncertainty score0.345

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 head0.009
GPT teacher head0.243
Teacher spread0.234 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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