DataFood Engine.Monexa Data Node
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High Efficiency

Banane.

Metabolic profile analysis. Technical breakdown of Banane and its impact on skeletal muscle retention and daily energy expenditure.

Total Energy40kcal
Bio-Protein58g
Carbohydrates10g
Total Lipids0g

Nutritional Efficiency Report

Banane is a very low-calorie food with elite-protein content. At 40 kcal per 100g, it delivers 58g of protein — representing 580% of its total caloric load. Carbohydrates account for 100% and fats for 0% of calories.

"Efficiency Score 1.00 — this asset ranks in the top tier of the DataFood database for protein delivery per calorie. Optimal for fat loss, lean bulking, and body recomposition phases."

With 10g of carbs per 100g, it suits cyclical keto and low-carb approaches.

With only 40 kcal per 100g, Banane is a high-volume food — you can consume a large serving while keeping total caloric intake controlled. This makes it particularly effective for hunger management in deficit phases.

Protocol Compatibility

Ketosis Impact

With 10g of carbs per 100g, it suits cyclical keto and low-carb approaches.

Thermic Effect (TEF)

Protein content of 58g per 100g triggers a significant Thermic Effect of Food. The body expends approximately 20–30% of protein calories during digestion, yielding a net caloric benefit compared to equivalent fat or carbohydrate sources.

Expand Your Protocol.

Based on the metabolic profile of Banane, these related data nodes are most relevant to your nutrition architecture:

High Protein Foods Fat Loss Foods Database

Integrate Asset.

Use the clinical weekly planner to distribute Banane across your metabolic windows.

Generate Weekly Protocol

Input physical metrics to generate a synchronized 7-day protocol.

1. Biological Metrics

2. Dietary Logic

Institutional Disclaimer: The nutritional data provided for Banane is derived from clinical databases and algorithmic estimation. This report is for metabolic infrastructure planning only and does not constitute medical advice. Consult a clinical nutritionist before implementing aggressive deficit protocols.