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MICROSTRUCTURAL CHARACTERIZATION OF DEEP‐FAT FRIED BREADED CHICKEN NUGGETS USING X‐RAY MICRO‐COMPUTED TOMOGRAPHY

2010· article· en· W1673909853 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Food Process Engineering · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPorosityMaterials scienceCoatingMicrostructureComposite materialCore (optical fiber)Characterization (materials science)Food scienceChemistryNanotechnology

Abstract

fetched live from OpenAlex

ABSTRACT X‐ray micro‐computed tomography imaging technique was applied to study microstructural characteristics of deep‐fat fried chicken nuggets. The results obtained showed a significant ( P < 0.05) influence of frying conditions on microstructural properties of the deep‐fat fried breaded chicken nuggets. The porosity of the breading coating increased while that of the core remained relatively unchanged with frying time. The number of pores also increased with frying. The chicken nuggets coating and core pores showed a decreased interconnectivity after frying. The shapes of the samples' pores were between rod‐like and spherical structure. The pore size distribution for the coating and the core parts showed an increase in pores with diameter < 100 µm in terms of volume and number count. Some correlations were observed between the sample's (coating and core) porosity and frying time, fat content and moisture loss. PRACTICAL APPLICATIONS Microstructural properties are critical in food quality assessment, product development and process optimization. The use of X‐ray micro‐computed tomography for food microstructural evaluation is relatively new and recent studies have shown that the technique has the potential to elucidate microstructural properties of food with greater details and resolution than some other imaging techniques such as microscopy. It gives images in 3‐D for better quantitative assessment, involves minimal sample preparation and allows scanning under native environment. This technique was used to study the microstructural properties of breading coating and chicken core parts of deep‐fat fried breaded chicken nuggets to obtain microstructural parameters that are useful in quality assessment and process modeling.

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)0.000
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 score0.127
Threshold uncertainty score0.279

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 head0.015
GPT teacher head0.219
Teacher spread0.204 · 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