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Record W2129141346 · doi:10.1002/ejlt.201300498

Crude canolol and canola distillate extracts improve the stability of refined canola oil during deep‐fat frying

2014· article· en· W2129141346 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

VenueEuropean Journal of Lipid Science and Technology · 2014
Typearticle
Languageen
FieldChemistry
TopicEdible Oils Quality and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCanolaFood scienceChemistryFrench friesDeep fryingExtraction (chemistry)SqualeneOrganic chemistry

Abstract

fetched live from OpenAlex

Crude canolol (CAN) extracted from canola meal by accelerated solvent extraction and phenolic extracts from canola oil deodistillates (DDL) were assessed for their potential to stabilize canola oil during deep‐fat frying. Phenolics extracted from DDL with methanol ranged from 0 to 323 μg/g of DDL phenolics. French fries were deep fried in canola oil (3 L) enriched with 200 ppm of BHT, DDL, or CAN at 185 ± 5°C for 5 min. Twelve batches of fries (30 g each) were fried each day, 30 min apart for a total of 6 h of frying for 5 days. Both CAN and DDL extracts exhibited protection against frying oil deterioration compared to BHT with a considerable reduction in the hydroperoxides after the first day of frying. The ability to reduce primary oxidation was highest with CAN followed by DDL compared to BHT and the control (CAN>DD>Control). The total oxidation (TOTOX) and conjugated diene/triene values of oils fried with DDL and CAN were significantly ( p <0.05) lower than BHT. Oil color correlated with AV ( R 2 = 0.822–0.985) in an exponential model with no major differences as compared to the control. In conclusion, based on the initial PV, TOTOX, and conjugated dienes, DDL and CAN both proved effective in inhibiting lipid oxidation during deep‐fat frying. Practical applications: Oil deodistillate is an excellent starting material for the production/recovery of a variety of bioactive components such as tocopherols, phenolics, phytosterols, or squalene. The present study confirms the beneficial effects of canolol and DDL phenolic extracts as antioxidants during the deep‐fat frying of canola oil. DDL is an abundant oil‐refining by‐product and this study demonstrates the value‐added potential of DDL as a crude source of phenolic antioxidants. This will provide new avenues for the value‐added opportunities due to their potent antioxidants. In contrast to the commonly applied synthetic antioxidants, the phenolic extracts tested in this study are part of endogenous oil components either removed from crude oil during refining (DDL) or produced during oil extraction process (canolol). Crude canolol and deodistillate (DDL) extracts protects canola oil from oxidative deterioration during deep‐frying at 185°C. The protective effect of crude DDL extracts and canolol extracts as indicated from the total oxidation (TOTOX) value of oils indicates potential for value‐addition of DDL.

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)0.003
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.012
GPT teacher head0.229
Teacher spread0.216 · 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