DataFood Engine.Monexa Data Node
Live
0.80
Verified Asset
High Efficiency

Dash cam 35.

Metabolic profile analysis. Technical breakdown of Dash cam 35 and its impact on skeletal muscle retention and daily energy expenditure.

Total Energy4kcal
Bio-Protein1g
Carbohydrates18g
Total Lipids3g

Nutritional Efficiency Report

Dash cam 35 is a very low-calorie food with low-protein content. At 4 kcal per 100g, it delivers 1g of protein — representing 100% of its total caloric load. Carbohydrates account for 1800% and fats for 675% of calories.

"Efficiency Score 0.80 — 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 18g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

With only 4 kcal per 100g, Dash cam 35 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 18g carbs per 100g, it is better suited to carb-cycling or maintenance phases.

Thermic Effect (TEF)

With 1g 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 Dash cam 35, 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 Dash cam 35 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 Dash cam 35 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.