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The green tea.

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

Total Energy24kcal
Bio-Protein64g
Carbohydrates6g
Total Lipids1g

Nutritional Efficiency Report

The green tea is a very low-calorie food with elite-protein content. At 24 kcal per 100g, it delivers 64g of protein — representing 1067% of its total caloric load. Carbohydrates account for 100% and fats for 38% 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."

With 6g of carbs per 100g, it suits cyclical keto and low-carb approaches.

With only 24 kcal per 100g, The green tea 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

With 6g of carbs per 100g, it suits cyclical keto and low-carb approaches.

Thermic Effect (TEF)

Protein content of 64g 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 The green tea, these related data nodes are most relevant to your nutrition architecture:

Integrate Asset.

Use the clinical weekly planner to distribute The green tea 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 The green tea 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.