Reducing Fat Content of Fried Potato Pellet Chips Using Carboxymethyl Cellulose and Soy Protein Isolate Solutions as Coating Films
Bibliographic record
Abstract
<p>The aim of this work was to investigate the influence of different percentages of Carboxymethyl Cellulose (CMC) and Soy Protein Isolate (SPI) as coating material films for potato pellet chips during deep-fat frying on fat uptake, and sensory properties. Coating solutions of 2%, 6%, 10% and 14% w/v were prepared and heated to 90 ºC for 5 minutes then cooled. Samples were dipped in the coating solutions followed by air drying. The treatments were fried and analyzed for fat uptake and moisture retention. Sensorial attributes were also measured. The results obtained have shown that all coating treatments were reduced oil uptake during deep fat frying. The 10% was the most effective level in reducing fat uptake for both coating films. SPI coating films was reducing fat uptake more than CMC for all levels. All samples were found to improve all sensorial features of potato pellet chips compared to control.</p>
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".