DataFood Engine.Monexa Data Node
Live
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Verified Asset
High Efficiency

gg.

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

Total Energy3kcal
Bio-Protein77g
Carbohydrates66g
Total Lipids35g

Nutritional Efficiency Report

gg is a very low-calorie food with elite-protein content. At 3 kcal per 100g, it delivers 77g of protein — representing 10267% of its total caloric load. Carbohydrates account for 8800% and fats for 10500% 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 66g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 3 kcal per 100g, gg 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 66g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

Protein content of 77g 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 gg, 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 gg 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 gg 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.