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Accelerated Cheddar cheese ripening with encapsulated proteinases

2000· article· en· W2062683862 on OpenAlex
Ehab Kheadr, J.C. Vuillemard, S. A. Deeb

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

VenueInternational Journal of Food Science & Technology · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsRipeningCheese ripeningFood scienceChemistry

Abstract

fetched live from OpenAlex

Abstract This work was undertaken to study the impact of bacterial and fungal proteinases encapsulated in liposomes on proteolysis and organoleptic properties of Cheddar cheese during ripening. Bacterial and fungal proteinases were encapsulated in liposomes with trapping efficiencies of 31.9 and 33.0%, respectively. The encapsulated bacterial proteinase was incorporated into Cheddar-cheese milk in order to reach enzyme concentrations of 5 × 10–6 (B1), 1 × 10–5 (B2) and 2 × 10–5 (B3) AU g–1 cheese curd, while encapsulated fungal proteinase was added in order to reach enzyme concentrations of 1 × 10–6 (F1), 2 × 10–6 (F2) and 4 × 10–6 (F3) AU g–1 cheese curd. Experimental cheeses showed slightly higher moisture content but lower protein content when compared to control cheeses. Rheological measurements revealed that experimental cheeses were slightly less firm but more brittle as compared to control cheeses. Proteolysis and texture development of experimental cheeses were faster than control cheeses. As observed by transmission-electron microscopy, liposome-treated cheeses exhibited less compact microstructure and liposomes were essentially located at the fat–casein interface. The elution patterns obtained from size-exclusion chromatography revealed that the accumulation of bitter and astringent peptides was higher in experimental cheeses than in control cheeses depending on the type and concentration of added enzyme. After 3 months ripening, the organoleptic properties of cheeses were markedly improved and no bitter off-flavour was detected among treatments except cheeses subjected to treatments B3 and F3. The present study showed that micro-encapsulated enzymes can be successfully used to accelerate cheese ripening and to avoid drawbacks resulting from the use of free enzymes. It was also concluded that the addition of encapsulated bacterial proteinase (up to 1 × 10–5 AU g–1 cheese curd) or encapsulated fungal proteinase (up to 2 × 10–6 AU g–1 cheese curd) could be recommended to accelerate the flavour and texture development of Cheddar cheese.

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)0.001
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 score0.141
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.254
Teacher spread0.231 · 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