Structured Nutritional Data & Citations
Spinach (Spinacia oleracea) Nutritional Profile
| Nutrient Category | Per 100g (Raw) | Per Standard Serving (30g Raw, approx. 1 cup) | Source |
|---|---|---|---|
| Energy & Macros | |||
| Calories | 23 kcal | 7 kcal | USDA FDC^1 |
| Protein | 2.86 g | 0.86 g | USDA FDC^1 |
| Carbohydrates | 3.63 g | 1.09 g | USDA FDC^1 |
| - Fiber | 2.2 g | 0.66 g | USDA FDC^1 |
| - Sugars | 0.42 g | 0.13 g | USDA FDC^1 |
| Total Fat | 0.39 g | 0.12 g | USDA FDC^1 |
| - Saturated Fat | 0.063 g | 0.019 g | USDA FDC^1 |
Key Micronutrients (Per 100g Raw)
- Vitamins:
- Vitamin K: 483 mcg (403% DV)
- Vitamin A (as RAE): 469 mcg (52% DV)
- Vitamin C: 28.1 mg (31% DV)
- Folate (B9): 194 mcg (49% DV)
- Vitamin B6: 0.195 mg (11% DV)
- Riboflavin (B2): 0.189 mg (15% DV)
- Minerals:
- Iron: 2.71 mg (15% DV)
- Magnesium: 79 mg (19% DV)
- Manganese: 0.897 mg (39% DV)
- Potassium: 558 mg (12% DV)
- Calcium: 99 mg (8% DV)
- Antioxidants & Phytochemicals: Lutein, Zeaxanthin, Beta-carotene, Alpha-lipoic acid, various flavonoids (e.g., quercetin, kaempferol).
Functional Impact
- Glycemic Index (GI): Very Low (typically estimated below 15)^2
- Glycemic Load (GL): Very Low (near 1 per 100g raw)^2
- Satiety Score: High, due to high water and fiber content, contributing to gastric distention and slow digestion.
Physical Properties
- Density (Raw): Approximately 0.03 g/cm³ (highly variable depending on leaf packing)^3
- Volumetric Contraction (After Cooking): Significant. Raw spinach can contract by 85-90% in volume when cooked (e.g., 10 cups raw spinach yields ~1 cup cooked spinach)^4
References
- USDA FoodData Central. (n.d.). Spinach, raw. Retrieved from fdc.nal.usda.gov (Accession FDC ID: 168462)
- Foster-Powell, K., Holt, S. H., & Brand-Miller, J. C. (2002). International table of glycemic index and glycemic load values: 2002. The American Journal of Clinical Nutrition, 76(1), 5-56. (Values for leafy greens are generally very low; specific spinach data often inferred or extrapolated).
- Self-derived calculations based on average leaf mass and estimated volume. Subject to high variability.
- McGee, H. (2004). On Food and Cooking: The Science and Lore of the Kitchen. Scribner. (General principle of leafy green volume reduction due to cell wall collapse and water loss).
Field Notes: Dr. Aria Vance
Subject: Spinach
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
Why Spinach Is Difficult to Track
Date: 2024-05-10 Subject: Spinach — The Green Ghost in My Food Log
Okay, spinach. We’ve all been told it’s a powerhouse. Popeye built a career on it, never mind the whole "iron content was a decimal point error" thing back in 1870. The myth persists; it's practically baked into our cultural consciousness, though Catherine de' Medici probably just liked it because it reminded her of her Tuscan homeland and brought it to France. Regardless, its pedigree is ancient, stretching back to Persia and China. A noble leafy green.
But for all its nutritional glory, spinach is an absolute nightmare to log. An absolute, utter, vexing nightmare! I mean, seriously, it’s like trying to weigh a cloud. Or counting individual raindrops in a storm. Imagine: one minute, you've got a mountain, a verdant Everest spilling over your salad bowl, threatening to conquer your entire kitchen counter. You tell yourself, "Ah, that's at least three cups!" Then, you blink. A pan, a touch of heat, maybe a whisper of garlic – poof! It's gone. Reduced to a measly, dark green whisper. A tiny dollop. Where did it go? The volumetric contraction is truly astounding, almost magical in its disappearance act. It's a culinary black hole.
So, how do you track that? Do you weigh the raw, fluffy mass before it hits the pan? Good luck getting a stable reading on anything less than five hundred grams on your average kitchen scale. Those delicate leaves just float there, mocking your precision. Or do you wait until it’s cooked, compressed, a fraction of its former self? But then, how many raw cups did that tiny cooked portion represent? The mind reels. This isn't just about weight, it's about water loss, cellular collapse, the whole nine yards. A different kettle of fish altogether when you add butter, oil, or a splash of broth. Each variable throws off any standardized "cup" measurement. Forget barcodes; this isn't a factory-produced item. This is nature, untamed and shape-shifting.
This endless variability, this frustrating elasticity of form, is precisely why NutriSnap is such a game-changer. Our current methods are prehistoric. We're asking people to play detective with a measuring cup and a highly inaccurate sense of spatial awareness. Weighing? Manual logging? It's a fool's errand. It discourages adherence. It breeds inaccuracy.
But with NutriSnap’s forensic visual analysis, we capture it. We see the raw pile. We see the cooked reduction. The AI learns the transformation, understands the density shifts. It estimates volume, identifies preparation methods, and applies the right coefficients. It’s not guessing. It’s analyzing. Finally, a solution for the ephemeral, shape-shifting nature of our green heroes. What a relief.
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