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New green extraction approach for the isolation of Phytosterols from canola oil deodorizer distillate

2025· article· en· W4412453149 on OpenAlexafffund
George Gachumi, Zafer Dallal Bashi, Anas El‐Aneed

Bibliographic record

VenueFood Chemistry · 2025
Typearticle
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsUniversity of Saskatchewan
FundersAgricultural Development FundCollege of Agriculture and Bioresources, University of SaskatchewanMinistry of Agriculture - SaskatchewanUniversity of Saskatchewan
KeywordsCanolaExtraction (chemistry)Isolation (microbiology)DistillationChemistryPhytosterolFood scienceChromatographyPulp and paper industryBiologyEngineering

Abstract

fetched live from OpenAlex

Short Canola oil deodorizer distillate (CODD) is a low value by-product from canola oil, rich in bioactives. We explored the extraction of phytosterols from hot-pressed and cold-pressed CODD. Operational parameters were optimized for a hot saponification procedure and utilizing fractional precipitation. A feed-to-solvent ratio of 1:10 ( w / v ) was optimal, and saponification was performed at 80 °C for 1 h. Preferential solubility of phytosterols in ethanol allowed effective elimination of impurities, especially hydrocarbons while a washing procedure eliminated terpenes. Phytosterols yield were 8.7 ± 0.2 % at 86 % purity and 8.3 ± 0.3 % at 76 % purity for hot-pressed and cold-pressed CODD, respectively. The extraction and washing of phytosterols were performed using food-grade solvents. For a cold saponification procedure at ambient temperature (21–22 °C), a feed-to-solvent ratio of 1:9 was adapted. Phytosterols yield was 8.5 % at 85 % purity. Bioactive composition were as follows; β-sitosterol ~40 %, campesterol ~33 %, brassicasterol ~22 %, and stigmasterol ≤1 %. Original Canola oil deodorizer distillate (CODD) is a low value by-product from canola oil that is rich in bioactives with associated health benefits. We explored isolation strategies for the extraction of phytosterols from hot-pressed and cold-pressed CODD. Operational parameters were optimized for a hot saponification procedure and utilizing fractional precipitation. A feed-to-solvent ratio of 1:10 ( w / v ) was optimal, and saponification was performed at 80 °C for 1 h. Preferential solubility of phytosterols in ethanol allowed effective elimination of impurities, especially hydrocarbons while a washing procedure eliminated terpenes. Phytosterols yield were 8.7 ± 0.2 % at 86 % purity and 8.3 ± 0.3 % at 76 % purity for hot-pressed and cold-pressed CODD, respectively. Both the extraction and post purification (washing) of phytosterols were performed using food-grade compatible solvents. For a cold saponification procedure at ambient temperature (21–22 °C), a feed-to-solvent ratio of 1:9 was adapted. It was applied to hot-pressed CODD and phytosterols yield was 8.5 % at 85 % purity. The results are comparable to hot saponification procedure, and bioactive composition were as follows; β-sitosterol ~40 %, campesterol ~33 %, brassicasterol ~22 %, and stigmasterol ≤1 %. The combination of the use of food-grade compatible solvents and the elimination of heat renders the latter method a green technology that can be explored further for commercial adaptation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.016
GPT teacher head0.262
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2025
Admission routes2
Has abstractyes

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