About NutriVisual
Making nutrition science intuitive, visual, and accessible for optimal health and longevity.
🌱 Our Mission & Vision
NutriVisual was founded to bridge the gap between complex biochemical nutritional data and practical daily meal choices. Standard nutrition databases present numbers in static text tables that lack visual scale. NutriVisual transforms laboratory nutrition data into an interactive, visual reference engine that translates macronutrients, micronutrient density, and calorie volume into intuitive portion equivalents.
🔬 Scientific Data Rigor & USDA Standards
Every food item, calorie calculation, and portion ratio featured on NutriVisual is grounded in reference standard data from the U.S. Department of Agriculture (USDA) FoodData Central and the Atwater Specific Factor System.
- Metabolizable Energy Accounting: We factor in net dietary fiber digestibility and resistant starch to compute net metabolizable calories accurately.
- Bioavailability Analysis: Our comparative matrix evaluates micronutrient absorption efficiency, such as heme vs. non-heme iron and fat-soluble vitamin co-factors.
- Standardized Reference Portions: All primary food profiles are scaled to a lab-tested 100-gram baseline for consistent cross-category comparisons.
📑 Editorial Process & Medical Review Policy
NutriVisual adheres to strict editorial integrity and evidence-based publishing principles:
Peer-Reviewed Sources
Articles synthesize clinical findings from PubMed, PubMed Central (PMC), and recognized nutritional research journals.
No Commercial Bias
NutriVisual operates independently without brand sponsorships, pharmaceutical affiliations, or food manufacturer funding.
✉️ Editorial Team & Publisher Transparency
NutriVisual is maintained by a dedicated team of nutrition researchers, web developers, and health data specialists.
Publisher Contact: chathurahjm@gmail.com
Location: NutriVisual Media & Data Publishing Group
Feedback & Corrections: We welcome scientific feedback, data updates, and peer recommendations to continuously refine our portion algorithms.