DataFood Engine.Monexa Data Node
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High Efficiency

Açaí en polvo.

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

Total Energy19kcal
Bio-Protein10g
Carbohydrates35g
Total Lipids19g

Nutritional Efficiency Report

Açaí en polvo is a very low-calorie food with low-protein content. At 19 kcal per 100g, it delivers 10g of protein — representing 211% of its total caloric load. Carbohydrates account for 737% and fats for 900% 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 35g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 19 kcal per 100g, Açaí en polvo 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 35g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

With 10g 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 Açaí en polvo, 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 Açaí en polvo 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 Açaí en polvo 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.