NUTRITIONAL LOG

The Truth About Leek

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

Leek (Allium ampeloprasum var. porrum) - Nutritional Profile

SECTION 1: SEO Data

I. General Nutritional Information (per 100g, raw)

Nutrient Group Value (100g) % Daily Value (Adults)
Energy 61 kcal 3%
Protein 1.5 g 3%
Total Fat 0.3 g 0%
Carbohydrates 14.2 g 5%
- Fiber 1.8 g 7%
- Sugars 3.9 g -
Water 83.1 g -

Source: USDA FoodData Central, FDC ID: 170420 (Leeks, raw)

II. Standard Serving Nutritional Information (1 cup, sliced, raw ≈ 89g)

Nutrient Group Value (89g) % Daily Value (Adults)
Energy 54 kcal 3%
Protein 1.3 g 2%
Total Fat 0.27 g 0%
Carbohydrates 12.6 g 5%
- Fiber 1.6 g 6%
- Sugars 3.5 g -

Source: Calculated from USDA FoodData Central, FDC ID: 170420 (Leeks, raw)

III. Key Micronutrients (per 100g, raw)

Source: USDA FoodData Central, FDC ID: 170420 (Leeks, raw); Reviewed against consensus nutritional databases.

IV. Functional Impact

Source: Estimated based on carbohydrate composition and fiber content; consult specific GI databases for experimental values if available.

V. Physical Properties

Source: Empirical observation and general vegetable cooking principles; specific scientific data on leek volumetric contraction is limited but falls within typical ranges for leafy/fibrous vegetables.


Field Notes: Dr. Aria Vance

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

SECTION 2: The Leek: A Nutritional Data Nightmare

Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap.

The leek. Such a deceptively simple vegetable, yet a complete and utter nightmare for accurate nutritional tracking. A delicious, elegant member of the Allium genus, it's been gracing tables from ancient Egyptian banquets to Roman legions. Emperor Nero, they say, ate leeks to improve his singing voice. What a tale! A vegetable with a lineage stretching back millennia, a symbol of Wales, and a staple in countless global cuisines.

But try to get precise data on it from your standard app. Just try. It’s a fool’s errand, an exercise in frustration.

First, there's the gross weight versus edible portion problem. You buy a leek. It's usually caked in earth, mud firmly wedged between its tightly packed layers. You haul it home, wash it, and start trimming. The dark green, fibrous tops? Gone. The roots? Snip. The outer, often tough or damaged leaves? Peel them off. What's left? A gleaming white and pale green shaft, maybe half the original mass. Half! But your app only knows "1 medium leek." What even is a "medium" leek post-trimming? The variance is astounding. This isn’t a pristine banana with a clear peel-to-eat ratio. It's a field operation.

Then, cooking. Oh, the cooking. You chop it. Fine slices, rustic chunks. It fills your pan, a magnificent mound of potential flavor. You sauté it down. And down. And down. The volume shrinks like a vampire avoiding sunlight. What was two cups of raw, sliced leek might become a mere quarter cup of soft, silken ribbons. All that water, evaporated. All those cell walls, collapsed. The density shifts dramatically. How on earth is someone meant to accurately log "1 cup sautéed leeks" when its starting volume and its final, consumable volume are so wildly disparate? It's like trying to catch smoke with a sieve. Manual tracking with cups or even a scale requires an absurd level of pre-preparation diligence. You'd need to weigh it before trimming, after trimming, before cooking, and after cooking. Who has that kind of time?

This isn’t just about leeks, of course. It’s the Achilles' heel of all manual food tracking. The "average" values and "standard servings" are statistical fictions that crumble under the weight of real-world kitchen chaos. That's why traditional methods are fundamentally broken. That's why I joined NutriSnap. We're building the future, literally seeing your food. Our forensic visual analysis doesn't just guess; it learns to estimate the inedible parts, the cooking contraction, the complex interplay of ingredients in a dish. It’s the only way we’ll ever truly understand what we’re putting into our bodies, beyond the abstract numbers in a database. It’s a game-changer.

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