DataFood Engine.Monexa Data Node
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Verified Asset
High Efficiency

Mixed Nuts.

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

Total Energy7kcal
Bio-Protein14g
Carbohydrates29g
Total Lipids57g

Nutritional Efficiency Report

Mixed Nuts is a very low-calorie food with moderate-protein content. At 7 kcal per 100g, it delivers 14g of protein — representing 800% of its total caloric load. Carbohydrates account for 1657% and fats for 7329% 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 29g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 7 kcal per 100g, Mixed Nuts 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 29g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

With 14g 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 Mixed Nuts, 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 Mixed Nuts 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 Mixed Nuts 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.