DataFood Engine.Monexa Data Node
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High Efficiency

Riz en vrac.

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

Total Energy60kcal
Bio-Protein20g
Carbohydrates60g
Total Lipids5g

Nutritional Efficiency Report

Riz en vrac is a low-calorie food with moderate-protein content. At 60 kcal per 100g, it delivers 20g of protein — representing 133% of its total caloric load. Carbohydrates account for 400% and fats for 75% 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 60g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 60 kcal per 100g, Riz en vrac 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 60g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

With 20g 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 Riz en vrac, 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 Riz en vrac 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 Riz en vrac 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.