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COLLAGEN SUPERDOSE.

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

Total Energy17kcal
Bio-Protein80g
Carbohydrates22g
Total Lipids0g

Nutritional Efficiency Report

COLLAGEN SUPERDOSE is a very low-calorie food with elite-protein content. At 17 kcal per 100g, it delivers 80g of protein — representing 1882% of its total caloric load. Carbohydrates account for 518% and fats for 0% 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 22g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 17 kcal per 100g, COLLAGEN SUPERDOSE 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 22g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

Protein content of 80g 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 COLLAGEN SUPERDOSE, these related data nodes are most relevant to your nutrition architecture:

Integrate Asset.

Use the clinical weekly planner to distribute COLLAGEN SUPERDOSE 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 COLLAGEN SUPERDOSE 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.