NUTRITIONAL LOG

The Truth About Boiled Egg

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

Nutritional Profile: Boiled Egg (Large, Whole)

Macro & Caloric Content

Nutrient Per 100g Per Standard Serving (1 Large Egg, ~50g)
Energy 155 kcal 78 kcal
Protein 12.6 g 6.3 g
Carbs 1.12 g 0.56 g
Fat 10.6 g 5.3 g
Saturated Fat 3.3 g 1.65 g
Monounsaturated Fat 4.1 g 2.05 g
Polyunsaturated Fat 1.4 g 0.7 g
Cholesterol 373 mg 186.5 mg

Reference: USDA FoodData Central, Food ID: 172128, "Egg, whole, cooked, hard-boiled". Values are rounded for clarity.

Key Micronutrients

Vitamins

Minerals

Antioxidants & Bioactive Compounds

Reference: USDA FoodData Central, various entries for "egg, whole, cooked, hard-boiled". DV based on 2000 kcal diet.

Functional Impact

Reference: University of Sydney GI Database (for raw/cooked eggs), various nutritional consensus reports on satiety indexes.

Physical Properties

Reference: Food Science & Technology journals (e.g., Journal of Food Science), physical chemistry of protein denaturation. Data points are observational averages.

Field Notes: Dr. Aria Vance

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

The Manual Tracking Problem

Entry 147: Boiled Egg - An Archetype of Tracking Frustration

Today. Boiled eggs. They mock me. This humble, protein-packed orb, ancient and ubiquitous, is a nightmare for precise manual nutritional logging.

Its history is staggering. From the earliest human encampments, likely, to Roman feasts where they were appetizers. Emperors, commoners, everyone ate eggs. They symbolize birth, renewal across countless cultures – Easter, spring festivals. A powerful, universal food. A marvel of nature’s engineering, self-contained and nutrient-dense.

Yet, try to track one. You'll quickly discover a culinary existential crisis. First, the size variability. Jumbo, extra-large, large, medium, small. This isn't just a label; it’s a tangible difference in mass, often 10-15 grams between categories. My desk is littered with notes, fragments of shells, and the ghost of a scale I almost threw through the window. Is this large egg really 50 grams, or did that hen have a slightly off day? What about the peeled weight? Are we accounting for the microscopic albumen fragments irrevocably stuck to the shell, destined for the bin? Because, let's be honest, we all lose some. Tiny losses, yes. But they add up. Every gram matters in clinical nutrition, every tiny data point aggregates towards a larger picture of metabolic health.

Then there's the preparation. "Boiled egg." Simple? Hardly. Soft-boiled, medium-boiled, hard-boiled. These aren't just texture preferences; they imply different cooking times, subtle water loss, and thus, minute shifts in the final product’s composition-per-gram due to evaporation. My colleagues, bless their analogue hearts, meticulously weigh raw eggs, then cook them, then re-weigh them. They use kitchen scales, often cheap, inconsistent instruments that round to the nearest gram, sometimes two. Calibrations are a myth. Cups are for liquids. Barcodes? Eggs don't have barcodes on them. The carton might, but that's for the product batch, not the individual ovum you're about to consume. It's a logistical quagmire. A data scientist's purgatory.

It’s all so clunky. So terribly, frustratingly manual. We need better. We need something that cuts through the noise of imprecise kitchen gadgetry and human error. This tedious weighing, this constant double-checking against USDA databases for "large egg" versus "extra-large," it's not sustainable for real-world adherence. People quit. They just stop tracking.

And that, finally, is where NutriSnap shines. Its AI. Forensic visual analysis. It sees the egg. It doesn't need a barcode. It doesn't need a scale. It can differentiate, through learned parameters, the likely size, even infer the cook state from visual cues. It’s an elegant solution to an ancient problem. We can finally get truly granular data, simply by snapping a picture. Revolutionary.

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