DataFood Engine.Monexa Data Node
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High Efficiency

Milch.

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

Total Energy64kcal
Bio-Protein33g
Carbohydrates47g
Total Lipids4g

Nutritional Efficiency Report

Milch is a low-calorie food with elite-protein content. At 64 kcal per 100g, it delivers 33g of protein — representing 206% of its total caloric load. Carbohydrates account for 294% and fats for 56% 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 47g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 64 kcal per 100g, Milch 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 47g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

Protein content of 33g 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 Milch, 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 Milch 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 Milch 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.