Nutrient Compositions and Total Polyphenol Contents of Selected Dried Fruits Available in Selangor, Malaysia
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Bibliographic record
Abstract
Dried fruits contained higher amount of energy and nutrient density compared to the fresh ones. This study was conducted to determine and compare the content of nutrients and polyphenols in dried dates, raisin, apricot and fig. Dried fruit samples were bought from three different stores in Selangor and analyzed in triplicates. AOAC (1997) standard methods were used for proximate analyses. The total sugar and polyphenol contents were determined using Dubois and Folin-Ciocalteu methods, respectively. Highest moisture content was found in dried apricots (35.26%) while the lowest one was in Mariami dates (21.68%). Dried apricots also contained highest total ash content (4.54%) while Safawi dates have the lowest one (2.45%). Dried figs contained the highest crude protein (3.93%) and fat contents (4.02%) while Safawi dates have lowest protein (2.57%) and fat (0.09%) contents. Total carbohydrates were highest in Safawi dates (72.81%) and lowest in dried apricots (56.09%). Highest total sugar content found in Mariami dates (48.61%) and lowest in dried apricots (10.35%). Total phenolic content in golden raisin contained significantly (p < 0.001) highest polyphenol content (562.15 mg GAE/100 g) than others while dried figs have the lowest one (151.04 mg GAE/100 g). Dried fruits analyzed in this study contained high nutrients and polyphenol contents which are suitable to be consumed as an alternative for snack, with a caution on the portion size due to the high sugar content.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it