Influence of palm oil, canola oil and blends on characteristics of fried plantain crisps
Bibliographic record
Abstract
Purpose – The purpose of this paper is to study the influence of crude palm oil (PO), canola oil (CO) and their blends on characteristics of fried plantain crisps at two different stages of ripening. Design/methodology/approach – Plantain ( Musa paradisiaca L. ) samples were peeled, sliced into 3 mm slices, blanched at 70 °C for 3 min and dried. The slices were deep fried at 180 °C for different times. Findings – There was no significant difference ( p > 0.05) in the moisture loss rate and the crispiness of the crisps produced using PO and CO. Significant differences ( p < 0.05) existed in the fat uptake and color properties of the crisps fried in the two oils. PO fried crisps absorbed 15 percent less oil in the unripe crisps samples and 21 percent less oil in the fully ripened crisps than CO. The browning index showed that the PO crisps had greater color changes than the crisps fried using CO. The difference between the crisps from 50:50 blends of PO: CO and CO was not statistically significant, while 70:30 blends improved the qualities of the crisps better than CO alone. Analysis of kinetics data showed that moisture loss, oil uptake and browning index followed a first-order kinetics model. Originality/value – Understanding the interactions between ripening and processing methods is enhanced and use of crude PO for industrial deep-fat frying is encouraged.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".