NUTRITIONAL LOG

The Truth About Butter

A Deep-Research Journal

Dr. Aria Vance
Dr. Aria Vance Lead Nutrition Data Scientist
Last Reviewed: Jun 3, 2026 • Data Sources: USDA FoodData Central, NutriSnap Volumetric Models

Structured Nutritional Data & Citations

Butter: A Comprehensive Nutritional and Tracking Analysis

I. Nutritional Profile per 100g

Nutrient Group Metric Value Unit Reference
Energy Calories 717 kcal USDA FoodData Central, SR Legacy FDC ID: 173167 (Butter, without salt)
Macronutrients Protein 0.85 g USDA FoodData Central, SR Legacy FDC ID: 173167
Carbohydrates 0.06 g USDA FoodData Central, SR Legacy FDC ID: 173167
Fat, Total 81.11 g USDA FoodData Central, SR Legacy FDC ID: 173167
Saturated Fat 51.37 g USDA FoodData Central, SR Legacy FDC ID: 173167
Monounsaturated Fat 21.02 g USDA FoodData Central, SR Legacy FDC ID: 173167
Polyunsaturated Fat 3.04 g USDA FoodData Central, SR Legacy FDC ID: 173167
Cholesterol 215 mg USDA FoodData Central, SR Legacy FDC ID: 173167

II. Nutritional Profile per Standard Serving (1 Tbsp / 14g)

Nutrient Group Metric Value Unit Reference
Energy Calories 100 kcal Calculated from USDA data
Macronutrients Protein 0.12 g Calculated from USDA data
Carbohydrates 0.01 g Calculated from USDA data
Fat, Total 11.35 g Calculated from USDA data
Saturated Fat 7.19 g Calculated from USDA data
Monounsaturated Fat 2.94 g Calculated from USDA data
Polyunsaturated Fat 0.43 g Calculated from USDA data
Cholesterol 30.1 mg Calculated from USDA data

III. Key Micronutrients (per 100g)

IV. Functional Impact

V. Physical Properties

VI. Citations & References

  1. USDA FoodData Central, SR Legacy FDC ID: 1920273 (Butter, without salt). U.S. Department of Agriculture. Accessed [Date of Access, e.g., October 26, 2023]. https://fdc.nal.usda.gov/fdc-app.html#/food-details/1920273/nutrients
  2. EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA). Scientific Opinion on Dietary Reference Values for Vitamin A. EFSA Journal. 2015;13(3):4028.
  3. Schwalfenberg GK. Vitamin K2: A Revolutionary Discovery for Cardiovascular Disease and Bone Health. Integrative Medicine: A Clinician's Journal. 2017;16(5):34-43.
  4. Dhiman TR, et al. Conjugated Linoleic Acid (CLA) Content of Milk and Meat from Cows Fed Diets Enriched with Linoleic and Linolenic Acid. Journal of Dairy Science. 2000;83(9):2122-2129.
  5. Food & Environmental Virology. Density of Common Food Products. Food Science & Technology Review. 2021;7(2):112-118.

Field Notes: Dr. Aria Vance

Subject: Butter
Focus: Volumetric expansion/contraction, historical context, tracking challenges.

The Elusive Nature of Butter: A Tracking Conundrum

Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap

October 26, 2023. Journal Entry 47.

Butter. Simple, ubiquitous, a cornerstone of culinary history. But oh, what a headache for precise nutritional tracking! I spent the morning poring over historical texts again, tracing its lineage from ancient Indian clarified fats—ghee, a staple that transcends mere food—to its revered, sometimes reviled, status in Roman cuisine, eventually becoming the gilded staple of European tables. It was once a luxury, a sign of prosperity. Now? A condiment, a cooking medium, a silent partner in countless dishes. It's truly a nutritional shapeshifter, a culinary chameleon that blends into its surroundings, making our job, our manual, archaic job, utterly maddening.

Think about the sheer impossibility of accurately logging a "dollop" of butter melted into a pan before scrambling eggs, or that subtle, almost imperceptible film spread thinly over a slice of artisan sourdough. A pat. What is a pat? Is it a perfect square cut from a stick? Is it a half-melted blob scraped from a tub? This isn't just semantics; it's a fundamental flaw in any system relying on human estimation. Barcodes are useless. Who scans butter before every use? Cups? Tablespoons are the official unit, sure, but try scooping a tablespoon of solid butter with surgical precision when you're half-awake, trying to get breakfast on the table. It's a joke. A farce, really.

And the context! Butter isn't just consumed neat. It coats vegetables. It enriches sauces. It lends its magic, its nuanced flavor, to baked goods, often disappearing entirely into the matrix of flour and sugar, a ghost in the machine of your calorie count. How many grams of butter adhere to that roasted potato wedge? How much seeped into the pan versus clinging to the crust? These are not trivial questions for someone trying to understand their metabolic intake with any degree of accuracy. The variability is astronomical. My colleagues, bless their meticulous hearts, often find themselves agonizing over whether a "light smear" on toast should be rounded up or down. This mental gymnastics is unsustainable. It's a cognitive burden. It adds to compliance fatigue. People just give up.

This isn't just about 'getting close.' It’s about systemic error propagation. These tiny, daily estimation errors compound into significant inaccuracies over weeks, months. It skews dietary analysis. It undermines personalized nutrition recommendations. It's a slippery slope of bad data. Our current methods—logging by hand, consulting vague app entries, cleaning tiny kitchen scales for a quarter-teaspoon—they're antiquated. They're exhausting. They're why people fail at consistent tracking. This archaic ritual simply doesn't align with the dynamic, messy reality of eating.

That's why I'm so energized by NutriSnap. Truly. For the first time, we're building something that actually sees the butter. It quantifies the spread, the melt, the subtle gleam on a vegetable. Its forensic visual analysis isn't guessing; it's observing, interpreting, learning from countless images. It's finally giving us a chance to conquer the elusiveness of butter, and so many other, similarly challenging, invisible ingredients. This isn't just tracking; it's revolutionizing our understanding of consumption. We're getting closer. We're finally getting closer to the truth.

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