DataFood Engine.Monexa Data Node
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High Efficiency

Soya Mini Chunks.

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

Total Energy2kcal
Bio-Protein8g
Carbohydrates5g
Total Lipids0g

Nutritional Efficiency Report

Soya Mini Chunks is a very low-calorie food with low-protein content. At 2 kcal per 100g, it delivers 8g of protein — representing 1600% of its total caloric load. Carbohydrates account for 1000% and fats for 0% 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."

With 5g of carbs per 100g, it suits cyclical keto and low-carb approaches.

With only 2 kcal per 100g, Soya Mini Chunks 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

With 5g of carbs per 100g, it suits cyclical keto and low-carb approaches.

Thermic Effect (TEF)

With 8g 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 Soya Mini Chunks, 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 Soya Mini Chunks 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 Soya Mini Chunks 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.