An investigation into the sensory properties of luffa [ <i>Luffa cylindrica</i> (L.)] sap
Bibliographic record
Abstract
The seeds and sap of luffa [Luffa cylindrica (L.)] are usually discarded as waste. As such, this study aimed to identify the sensory properties of luffa sap (aqueous solution) and if it can be incorporated into a food item (orange juice) for added nutritional benefits and as an alternative sweetener. A sensory trial (n = 94) asked participants to evaluate a luffa sap sample and five different orange juice samples with increasing amounts of luffa sap (control [0%], 5%, 7.5%, 10%, 12.5%). The participants evaluated the samples using 9-point hedonic scales, check-all-that-apply, and an open-ended comment question. The luffa sap was described as having a mild flavor as well as woody, earthy, and floral attributes and an aftertaste. The liking scores for the orange juice with the 5% luffa sap did not significantly differ from the control. However, as the amount of luffa sap increased above 5%, the liking scores decreased and were significantly different from the control. The orange juice with luffa sap samples (7.5% and above) was associated with off-flavors, while the orange juice with 5% luffa sap and the control were associated with the attributes (sweet, fruity, orange, tropical, citrus) that increased the participants liking. Future studies should continue to investigate the sensory properties of luffa sap and its incorporation into different food products. PRACTICAL APPLICATION: This is one of the first studies to investigate the sensory properties of luffa sap with participants residing in the Western world. The luffa sap was found to be woody, earthy, bitter, and floral. It was acceptable to add luffa sap to orange juice up to 5% by volume. However, it did not increase the sweetness perception of the orange juice. At a 7.5% luffa sap addition and higher levels, off-flavors were observed in the orange juice.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".