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Record W3093353994 · doi:10.1111/ijfs.14850

Effects of yeast fermentation on transforming the volatile compounds of unsalted pork hydrolysate

2020· article· en· W3093353994 on OpenAlexaff
Xinzhi Li, Pin‐Rou Lee, Fransisca Taniasuri, Shao‐Quan Liu

Bibliographic record

VenueInternational Journal of Food Science & Technology · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsCanadian Association of Thoracic Surgeons
Fundersnot available
KeywordsHydrolysateYeastFood scienceChemistryFermentationFree amino nitrogenSeasoningWineIsoamyl alcoholMalolactic fermentationWine faultHydrolysisBiochemistryYeast in winemakingLactic acidOrganic chemistryBiologySaccharomyces cerevisiaeAlcoholBacteriaRaw material

Abstract

fetched live from OpenAlex

Summary This study investigated the possibility of transforming unsalted pork hydrolysate into a liquid seasoning by studying volatile compound production through yeast fermentation. The yeasts used included a typical soya sauce yeast and three wine yeasts. The yeasts inoculated in the glucose supplementary pork hydrolysate increased by approximately 2.0 log of CFU mL −1 within 24 hours at 30°C without adding salt. Yeast fermentation largely depleted the abundant aldehydes (hexenal) present in unfermented pork hydrolysate to trace levels with the formation of ethanol, corresponding alcohols and carboxylic acids. The wine yeasts showed higher production of fruity esters such as ethyl acetate and isoamyl acetate, whereas the soya sauce yeast produced more ketones such as acetone and 2‐heptanone. This study revealed a potential method of producing a value‐added meat hydrolysate from pork by‐product.

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 score0.012
Threshold uncertainty score0.129

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.246
Teacher spread0.230 · 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

Citations13
Published2020
Admission routes1
Has abstractyes

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