Physicochemical and Nutritional Composition of Pot-pollen of Stingless bee Melipona beecheii in Yucatan, Mexico
Bibliographic record
Abstract
The stingless bee Melipona beecheii, known as “Xunan Kab” in the Mayan language, is the only species that has been domesticated by the Mayans since immemorial time. Pot-pollen is collected, processed, and stored by stingless bees, in cerumen containers, which is used for its nutritional value in the larval and human diets. It is made up of natural floral pollen mixed with nectar and bee secretions, and fermented by microbes associated with stingless bees. The proximal analysis of the pot-pollen on a dry basis showed moisture, protein, fat, and ash content of 35.59 %, 36.9 %, 12.65 %, and 1.87 % respectively. The aminoacids analysis of pot-pollen proteins showed a high content of essential aminoacids such as leucine, methionine, threonine, valine among others. The methanolic extract of pot-pollen as well as its corresponding hexane and chloroform fractions presented antibacterial activity against Listeria monocytogenes and Pseudomonas aeruginosa. Additionally, eleven metabolites were identified from the hexane and chloroform fraction of pot-pollen, palmitic acid (1), γ-sitosterol or β-sitosterol (2), myristic acid (3), 5-octadecene (4), 9-octadecene (5), pentadecanoic acid, 14-methyl, methyl ester (6), palmitic acid, 1,1-dimethylethyl ester (7), dotriacontane (8), heptadecane (9), stearic acid butyl ester (10), and 2-methyltetracosane (11). Pot-pollen from Melipona beecheii is a superfood with a high nutritional value due to its high content of protein with a good percentage of essential aminoacids, fatty acids composition and metabolites with antimicrobial activity.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".