DataFood Engine.Monexa Data Node
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High Efficiency

Taps de Limos.

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

Total Energy23kcal
Bio-Protein6g
Carbohydrates36g
Total Lipids42g

Nutritional Efficiency Report

Taps de Limos is a very low-calorie food with low-protein content. At 23 kcal per 100g, it delivers 6g of protein — representing 104% of its total caloric load. Carbohydrates account for 626% and fats for 1643% 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 36g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 23 kcal per 100g, Taps de Limos 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 36g 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 Taps de Limos, 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 Taps de Limos 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 Taps de Limos 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.