Live
0.92
Verified Asset
High Efficiency

Nectar De Pêche De Vigne.

Metabolic profile analysis. Technical breakdown of Nectar De Pêche De Vigne and its impact on skeletal muscle retention and daily energy expenditure.

Total Energy43kcal
Bio-Protein10g
Carbohydrates10g
Total Lipids0g

Nutritional Efficiency Report

Nectar De Pêche De Vigne is a very low-calorie food with low-protein content. At 43 kcal per 100g, it delivers 10g of protein — representing 93% of its total caloric load. Carbohydrates account for 93% and fats for 0% of calories.

"Efficiency Score 0.92 — 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 10g of carbs per 100g, it suits cyclical keto and low-carb approaches.

With only 43 kcal per 100g, Nectar De Pêche De Vigne 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 10g of carbs per 100g, it suits cyclical keto and low-carb approaches.

Thermic Effect (TEF)

With 10g 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 Nectar De Pêche De Vigne, these related data nodes are most relevant to your nutrition architecture:

Integrate Asset.

Use the clinical weekly planner to distribute Nectar De Pêche De Vigne 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 Nectar De Pêche De Vigne 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.