1. Primary Data Sourcing
The baseline nutritional data on eNutritionFacts.com is extracted directly from verifiable, globally recognized scientific databases. Our primary source for baseline macronutrient, micronutrient, and amino acid profiling is the USDA FoodData Central (FDC) database. Where applicable, we also cross-reference data from the European Food Safety Authority (EFSA).
2. The “Preparation Impact” Calculations
Most online nutrition facts represent foods in their raw state. However, cooking fundamentally alters the biochemical matrix of food. Our data team, led by specialized Nutrition Researchers, applies standardized food-science formulas to calculate post-preparation data.
- Moisture Loss & Yield Factors: We calculate the concentration of calories and macronutrients when a food is dehydrated, roasted, or air-fried (e.g., raw spinach vs. cooked spinach).
- Starch Retrogradation: We account for the alteration of glycemic impacts, such as the formation of resistant starch in potatoes or rice that have been cooked and cooled.
- Micronutrient Degradation: We adjust the values of heat-sensitive vitamins (like Vitamin C and B-complex vitamins) based on the specific cooking method (boiling vs. steaming).
3. The NOVA Classification for Processed Foods
When analyzing commercial food products, our Food Science Writers utilize the NOVA classification system. We look beyond the macro-label to categorize foods from “Unprocessed” (Group 1) to “Ultra-Processed” (Group 4), explicitly identifying artificial emulsifiers, petroleum-based dyes, and added sugars.
4. The Role of Technology and AI
At eNutritionFacts.com, we embrace technology to improve user experience while maintaining strict human oversight. We utilize algorithms and AI formatting tools strictly to parse massive USDA datasets and generate clean, accessible HTML comparison tables. AI is never used to generate clinical insights, medical advice, or independent nutritional claims. All structured data is manually verified by our team prior to publication.
