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High Efficiency

Brain Booster Mix.

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

Total Energy6kcal
Bio-Protein18g
Carbohydrates35g
Total Lipids41g

Nutritional Efficiency Report

Brain Booster Mix is a very low-calorie food with moderate-protein content. At 6 kcal per 100g, it delivers 18g of protein — representing 1200% of its total caloric load. Carbohydrates account for 2333% and fats for 6150% 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 6 kcal per 100g, Brain Booster Mix 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 18g 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 Brain Booster Mix, these related data nodes are most relevant to your nutrition architecture:

Integrate Asset.

Use the clinical weekly planner to distribute Brain Booster Mix 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 Brain Booster Mix 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.