DataFood Engine.Monexa Data Node
Live
0.80
Verified Asset
High Efficiency
Keto Protocol

Fra Golosa.

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

Total Energy1kcal
Bio-Protein0g
Carbohydrates0g
Total Lipids0g

Nutritional Efficiency Report

Fra Golosa is a very low-calorie food with low-protein content. At 1 kcal per 100g, it delivers 0g of protein — representing 0% of its total caloric load. Carbohydrates account for 0% and fats for 0% of calories.

"Efficiency Score 0.80 — 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 only 0g net carbs per 100g, it fits strict ketogenic and carnivore protocols.

With only 1 kcal per 100g, Fra Golosa 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 only 0g net carbs per 100g, it fits strict ketogenic and carnivore protocols.

Thermic Effect (TEF)

With 0g 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 Fra Golosa, these related data nodes are most relevant to your nutrition architecture:

Keto Verified Assets Fat Loss Foods Database

Integrate Asset.

Use the clinical weekly planner to distribute Fra Golosa 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 Fra Golosa 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.