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Record W4389195462 · doi:10.1016/j.ifset.2023.103528

Insight into the mechanism of pressure shift freezing on water mobility, microstructure, and rheological properties of grass carp surimi gel

2023· article· en· W4389195462 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

VenueInnovative Food Science & Emerging Technologies · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsMcGill University
FundersNational Natural Science Foundation of China
KeywordsSilver carpIce crystalsRheologyFood scienceGrass carpEconomic shortageChemical engineeringMaterials scienceChemistryFish <Actinopterygii>FisheryComposite material

Abstract

fetched live from OpenAlex

This study found that using pressure shift freezing (PSF) treatment could suppress the decline in the quality of grass carp surimi gel during the conventional air freezing (CAF) process, and even improve the original properties of surimi gel. The surimi gel breaking force was about 2.5 times followed by PSF treatment (4.5 N) compared to the CAF group (1.8 N). The formation of small ice crystals in the PSF group reduced the mechanical damage to the sample structure compared to the large ice crystals formed in CAF groups. In addition, PSF treatment was found to be responsible for the change in protein and water mobility in surimi gel, which in turn positively influences the physicochemical properties of surimi gel. Industrial relevance The output of this study revealed the significance of PSF technology in the surimi gel processing and meat processing industry. The development of new products and the use of new resources are very important in addressing the global food crisis and resource shortages. The application of PSF technology has also laid a foundation for freshwater surimi gel products to replace seawater surimi gel products.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.053
GPT teacher head0.260
Teacher spread0.207 · 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