Nutritional and Antioxidant Potential of Popular Sri Lankan Traditional Sweetmeats
Bibliographic record
Abstract
Sweetmeats have gained tremendous attention among the Sri Lankan traditional foods, especially during the traditional Sinhala and Tamil New Year or any occasion. This study investigated the macro-nutrients and antioxidant potential of fourteen traditional sweetmeats (Konda kewum, Beraliya kewum, Naran kewum, Athirasa, Mung kewum, Aasmi, Kokis, Welithalapa, Dodol, Aluwa, Thalaguli, Habalapethi aggala, Kurahan helapa and Gotupittu) popular in Southern province of Sri Lanka. Traditional sweetmeats recipes were standardized by using recipes collected from the household women in Southern province. Traditional sweetmeats formulated with standardized recipes were analysed for major nutrients using standard analytical methods and 80% methanolic extract of defatted sweetmeats were evaluated for antioxidant potential (AP) by Ferric Reducing Antioxidant Potential (FRAP), ABTS radical scavenging activity and DPPH radical scavenging assays. The results indicated that, all deep-fried sweetmeats have higher fat contents ranged from 7.9% (Aasmi) to 16.3% (Beraliya kewum). The highest protein and carbohydrate contents were shown by Thalaguli (8.12%) and Konda kewum (64.3%) respectively. All the sweetmeats are energy-dense (249.48-406.05 kcal/100g) while deep-fried Konda kewum had the highest. Among the sweetmeats examined for antioxidant potential, Naran Kewum showed the significantly highest AP (51.04±0.0015 mM TE/1g Dry Mass) by FRAP assay. Kurahan helapa showed the significantly highest radical scavenging activity for DPPH (152.8 ±0.0245 (mM TE/1g DM) and ABTS (1.98±0.0015 mM TE/1g DM) assays. Further, Naran Kewum showed the significantly highest phenolic content (1462.67±0.005 µg GAE/1g DM) and flavonoid content (638.26±0.012 µg QE/1g). The findings of this study can be exploited to aware the general community about the basic nutritional and functional properties of Sri Lankan traditional sweetmeats.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".