Nutritional Analysis of Mature Unripen and Ripen Edible Fruits of Aegle tamilnadensis Abdul Kader (Rutaceae)
Bibliographic record
Abstract
Nutritive analysis of mature unripe and ripe fruits of Aegle tamilnadensis which is a close relative of A. marmelos (L) Correa was carried out at Presidency College, Chennai during 2016. Mature unripen fruits were plucked from the tree while ripen fruits were gathered from the ground after their natural fall during the month of December 2016 from the campus of Govt. Siddha Medical College, Arumbakkam, Chennai, Tamil Nadu, India. Seeds were removed; fresh fruit pulp was collected and weighed. Such pulp was used for the extraction of nutrients using methanol in Soxtron apparatus (Socs Plus - SCS 06 E). The moisture content was estimated by hot air oven method and expressed on dry weight basis [10]. The methanol fruit pulp extracts were used with standard methods for the estimation of protein, carbohydrate (sugar), energy, fat, vitamins, and minerals such as calcium, sodium and iron. The results showed that the mature unripe fruit contain high protein, sodium and calcium contents while cholesterol and fat contents were lower than those present in the ripe fruits. On the contrary in ripe fruit, vitamin C and iron contents were high. Therefore, both mature unripe and ripe fruits of Aegle tamilnadensis Abdul Kader can be used as a potential natural nutraceutical.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".