DataFood Engine.Monexa Data Node
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High Efficiency

Marbú Dorada.

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

Total Energy29kcal
Bio-Protein19g
Carbohydrates19g
Total Lipids17g

Nutritional Efficiency Report

Marbú Dorada is a very low-calorie food with moderate-protein content. At 29 kcal per 100g, it delivers 19g of protein — representing 262% of its total caloric load. Carbohydrates account for 262% and fats for 528% 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."

At 19g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 29 kcal per 100g, Marbú Dorada 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

At 19g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

With 19g protein per 100g, the thermic contribution is moderate. Pairing with higher-protein sources increases the overall TEF of your meal and supports lean mass retention.

Expand Your Protocol.

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

Fat Loss Foods Database Balanced Nutrition Guide

Integrate Asset.

Use the clinical weekly planner to distribute Marbú Dorada 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 Marbú Dorada 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.