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Record W4366084910 · doi:10.5539/jfr.v12n2p51

Effect of Various Seasonings on Protease Activity in Raw Soy Sauce

2023· article· en· W4366084910 on OpenAlexvenueno aff
Mami Ando, Naoki Eisaki, Wen Jye Mok, Yoshichika HIRAHARA, Aya Nohara, Satoshi Kitao

Bibliographic record

VenueJournal of Food Research · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Quality and Safety Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSeasoningFood scienceChemistrySoy proteinRaw materialAromaFlavorSugarReducing sugarProteaseStarchEnzymeBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Raw soy sauce, which is not sterilized, has a bright color and mild aroma, and possesses residual enzymatic activity to break down proteins and starch. Raw soy sauce is often used in combination with other seasonings. The enzymatic activity in raw soy sauce may be affected by the type of seasonings used in combination. In the present study, we examined the effect of cooking with other seasonings on the enzyme activity in raw soy sauce in a model experiment simulating actual cooking. In addition to raw soy sauce, we used white sugar, mirin (hon mirin, mirin-style seasoning, and boiled-down hon mirin), cooking sake, and grain vinegar as seasonings. Protease activity was measured under several heating conditions. When heated at 60°C, the degree of enzyme inactivation decreased as the ratio of the combination of white sugar, mirin-style seasoning, and boiled-down hon mirin increased. The results of the present study suggest that carbohydrate compounds commonly contained in each seasoning have a protective effect on the enzymes in raw soy sauce.

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)0.007
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.105
GPT teacher head0.386
Teacher spread0.280 · 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
Published2023
Admission routes1
Has abstractyes

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