DataFood Engine.Monexa Data Node
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High Efficiency

Goma de Borrar.

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

Total Energy4kcal
Bio-Protein6g
Carbohydrates33g
Total Lipids25g

Nutritional Efficiency Report

Goma de Borrar is a very low-calorie food with low-protein content. At 4 kcal per 100g, it delivers 6g of protein — representing 600% of its total caloric load. Carbohydrates account for 3300% and fats for 5625% 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 33g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 4 kcal per 100g, Goma de Borrar 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 33g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

With 6g 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 Goma de Borrar, these related data nodes are most relevant to your nutrition architecture:

Fat Loss Foods Database Balanced Nutrition Guide

Integrate Asset.

Use the clinical weekly planner to distribute Goma de Borrar 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 Goma de Borrar 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.