Structured Nutritional Data & Citations
Cod: Nutritional Profile and Functional Analysis
Nutritional Data & Functional Properties
Macroscopic Nutritional Composition
| Component | Per 100g (Raw, Atlantic Cod, Fillet) | Per 100g (Cooked, Dry Heat, Atlantic Cod, Fillet) | Per Standard Serving (150g Cooked) |
|---|---|---|---|
| Energy | 82 kcal (343 kJ) | 105 kcal (440 kJ) | 157.5 kcal (660 kJ) |
| Protein | 17.8 g | 22.8 g | 34.2 g |
| Carbohydrates | 0.0 g | 0.0 g | 0.0 g |
| - Sugars | 0.0 g | 0.0 g | 0.0 g |
| - Fiber | 0.0 g | 0.0 g | 0.0 g |
| Total Fat | 0.7 g | 0.8 g | 1.2 g |
| - Saturated Fat | 0.1 g | 0.1 g | 0.2 g |
| - Monounsaturated Fat | 0.1 g | 0.1 g | 0.2 g |
| - Polyunsaturated Fat | 0.2 g | 0.2 g | 0.3 g |
| - Omega-3 FA | 0.2 g | 0.2 g | 0.3 g |
| Cholesterol | 43 mg | 55 mg | 82.5 mg |
- Standard Serving defined as a 150g cooked fillet, approximating a typical restaurant or home-cooked portion.
Key Micronutrient Profile (per 100g Cooked)
Vitamins:
- Vitamin B12: 1.5 µg (63% DV)
- Niacin (B3): 2.1 mg (13% DV)
- Vitamin B6: 0.2 mg (12% DV)
- Vitamin D: 1.0 µg (5% DV) - Note: Varies significantly with wild vs. farmed, and liver oil content.
Minerals:
- Selenium: 39.0 µg (71% DV)
- Phosphorus: 247 mg (20% DV)
- Potassium: 323 mg (7% DV)
- Magnesium: 32 mg (8% DV)
- Iodine: ~100 µg (67% DV) - Note: Varies due to environmental factors.
Antioxidants:
- Cod provides selenium, a crucial cofactor for various antioxidant enzymes (e.g., glutathione peroxidase), contributing indirectly to cellular protection.
Functional Impact
- Glycemic Index (GI): 0 (As a pure protein source with negligible carbohydrates).
- Glycemic Load (GL): 0 (per standard serving).
- Satiety Score: High (Satiety Index Score: ~170-180 relative to white bread at 100). Cod is exceptionally satiating due to its high protein content and lean fat profile, promoting fullness and potentially reducing subsequent caloric intake.
Physical Properties
- Density (Raw fillet): Approximately 1.05 g/cm³ (slightly denser than water due to protein and mineral content).
- Volumetric Contraction (after cooking): Cooking (e.g., baking, pan-frying) typically results in 20-30% weight loss due to water evaporation. This translates directly to a proportional volumetric contraction, concentrating remaining solids per unit volume. For example, a 200g raw fillet might yield ~140-160g cooked.
Citations & References
- USDA FoodData Central. FDC ID 172904 (Fish, cod, Atlantic, raw) and FDC ID 172905 (Fish, cod, Atlantic, cooked, dry heat). Accessed [Current Date]. Available at: https://fdc.nal.usda.gov
- International Tables of Glycemic Index and Glycemic Load Values: 2008. American Journal of Clinical Nutrition, 87(5), 154S-160S. (For GI/GL principles).
- Holt, S. H. A., et al. (1995). A satiety index of common foods. European Journal of Clinical Nutrition, 49(9), 675-690. (For Satiety Index).
Field Notes: Dr. Aria Vance
Subject: Cod
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
The Manual Tracking Problem: Why Cod Is Such a Slippery Fish
Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap
The venerable cod. Oh, the stories it could tell! A protein bedrock for millennia, a silent passenger on Viking longships, the very currency of empires, sparking wars, feeding explorers across treacherous oceans. Salted cod, bacalao, stockfish—it quite literally built economies. Its flaky white flesh nourished generations, particularly in Northern European and North American coastal communities, becoming synonymous with simple, hearty sustenance. The sheer historical weight of this fish… it’s mind-boggling, really. A true culinary keystone.
But try tracking it accurately for a modern nutritional log? Good heavens. It’s a mess. A complete, utter nightmare. The fundamental issue isn't the cod itself, bless its lean, unassuming heart. No, the problem is us. Our consumption habits. Our wildly inconsistent preparation.
You order "cod" at a restaurant. What do you get? A beautiful, probably pan-seared fillet. But how much oil did they use? Was it butter? Olive oil? A generous glug, or just a whisper of spray? And the size! Is that 4 ounces, 6, 8? I've seen "standard portions" vary by nearly 100% on the same menu, depending on who's in the kitchen that night. Trying to "eyeball" a cooked fish fillet is a fool's errand. It’s almost geometrically deceptive. The way it flakes, the irregular edges. A solid block of tofu is easier.
Then there's home cooking. "A piece of cod for dinner." Is that raw weight or cooked weight? A 180g raw fillet will yield significantly less once the water cooks out, a natural volumetric contraction, as my notes show. So, if you're logging "180g cooked cod," you're likely overshooting your protein intake for the day, or just entirely off. And what about the glorious breading? The batter? That innocent-looking sprinkle of flour and seasoning adds more than just flavor. It’s a carb and fat bomb in miniature. Forget trying to scan a barcode; unless it’s a vacuum-sealed, perfectly portioned, unseasoned fillet, those plastic wrappers are useless. And frankly, who wants that kind of cod?
This constant, frustrating guesswork is precisely what makes traditional tracking methods—the clunky scales, the inaccurate measuring cups, the utterly irrelevant barcodes—so demoralizing. They fail at the nuance, the real-world variability of food. It’s like trying to measure a cloud with a ruler. Futile.
This is why NutriSnap isn't just a convenience; it's a forensic nutritional revelation. Our AI, through advanced visual analysis, can differentiate between pan-seared, baked, or steamed cod. It estimates the volume and density changes, even discerning the likely amount of added fats from the sheen on the surface. We've cracked the code on cod, and countless other culinary conundrums. It's not magic, just immensely sophisticated algorithms turning visual data into precise dietary insights. Finally, accuracy without the agonizing kitchen scales or the statistical guesswork. A triumph.
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