Structured Nutritional Data & Citations
Nutritional Profile of Meleagris gallopavo (Domestic Turkey)
(Focus: Cooked Turkey Breast, Skinless, Roasted)
1. Macro & Caloric Information
| Nutrient | Per 100g (cooked) | Per Standard Serving (85g cooked) | Unit | Reference (USDA FDC ID) |
|---|---|---|---|---|
| Energy | 165 | 140 | kcal | 172081, 172084 |
| Protein | 30.1 | 25.6 | g | 172081, 172084 |
| Total Fat | 3.5 | 3.0 | g | 172081, 172084 |
| Saturated | 1.0 | 0.8 | g | 172081, 172084 |
| Monounsat. | 0.9 | 0.8 | g | 172081, 172084 |
| Polyunsat. | 0.9 | 0.8 | g | 172081, 172084 |
| Carbohydrates | 0.0 | 0.0 | g | 172081, 172084 |
| Fiber | 0.0 | 0.0 | g | 172081, 172084 |
| Sugars | 0.0 | 0.0 | g | 172081, 172084 |
Standard Serving defined as approximately 3 oz (85g) of cooked, skinless turkey breast.
2. Key Micronutrients
| Nutrient | Per 100g (cooked) | Unit | Functional Impact | Reference (USDA FDC ID) |
|---|---|---|---|---|
| Vitamins | ||||
| Niacin (B3) | 11.8 | mg | Energy metabolism, DNA repair | 172081, 172084 |
| Pyridoxine (B6) | 0.8 | mg | Amino acid metabolism, neurotransmitter synthesis | 172081, 172084 |
| Cobalamin (B12) | 0.4 | µg | Red blood cell formation, neurological function | 172081, 172084 |
| Riboflavin (B2) | 0.2 | mg | Cellular energy production | 172081, 172084 |
| Choline | 68 | mg | Brain health, cell membrane integrity | 172081, 172084 |
| Minerals | ||||
| Selenium | 35.8 | µg | Antioxidant defense, thyroid function | 172081, 172084 |
| Phosphorus | 253 | mg | Bone health, energy storage | 172081, 172084 |
| Zinc | 1.7 | mg | Immune function, enzyme activity | 172081, 172084 |
| Potassium | 293 | mg | Fluid balance, muscle contraction | 172081, 172084 |
| Iron | 0.9 | mg | Oxygen transport, energy production | 172081, 172084 |
| Amino Acids | (Essential amino acids in profile) | |||
| Tryptophan | 325 | mg | Serotonin precursor, mood regulation | 172081, 172084 |
| Antioxidants | ||||
| Carnosine | 100-200 (est.) | mg | Muscle pH buffering, free radical scavenging | Literature consensus |
3. Functional Impact
- Glycemic Index (GI): Very Low (Typically <10, as a pure protein source)
- Glycemic Load (GL): Effectively Zero
- Satiety Score (Relative): High (Estimated 4.0 out of 5, owing to high protein content which promotes satiety via ghrelin suppression and CCK release).
4. Physical Properties
- Density (Cooked Turkey Breast, Skinless):
- Range: 1.10 - 1.25 g/cm³ (Post-cooking, water loss increases density of solid mass).
- Volumetric Contraction After Cooking:
- Estimated Range: 25% - 35% (Dependent on cooking method, temperature, and initial moisture content). Significant water loss is common during roasting or grilling.
5. Citations & References
- USDA FoodData Central (FDC):
- Food ID: 172081 ("Turkey breast, roasted, skin removed")
- Food ID: 172084 ("Turkey, whole, roasted, meat only, skin removed")
- Accessed through fooddata.nal.usda.gov. Data represents average values and may vary based on specific preparation and cut.
- General Nutritional Consensus: Values for functional impact (GI, GL, Satiety Score) are derived from established principles of macronutrient digestion and satiety research, consistent with major nutritional guidelines.
- Literature Consensus (Carnosine): Estimates for carnosine content are based on typical concentrations found in poultry muscle tissue as reported in food biochemistry and nutrition studies.
Field Notes: Dr. Aria Vance
Subject: Turkey
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
The Elusive Nature of Turkey: Why Manual Tracking Fails
Journal Entry, Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap.
The turkey. A bird. A feast. A data nightmare. This fascinating creature, Meleagris gallopavo, native to the Americas, has transcended its wild origins to become a culinary cornerstone, particularly for celebratory occasions. From the Aztec ceremonial dishes to the quintessential Thanksgiving centerpiece, its journey is one of domestication and cultural integration. It’s a lean protein powerhouse, a staple for athletes and dieters alike, yet the very act of tracking its consumption manually is akin to attempting to herd fog. It is a fool's errand.
Think about it. We’re presented with a majestic, golden-brown turkey, hot from the oven. Someone carves a slice. "Just a piece of breast meat," you think. But how much? Is it 85 grams? 120? A paltry 60? The human eye, that venerable organ of perception, is a wretched nutritionist. A visual estimate for portion sizing, particularly with something as amorphous as a slice of roasted poultry, introduces monumental errors. It’s not a consistent cube or a perfectly packaged bar. It’s… meat. Irregularly shaped, often accompanied by residual fats from the pan, or that sneaky bit of skin you "accidentally" ingested.
Then there’s the sheer variability. A turkey thigh versus a breast. Skin on versus skin off. Ground turkey, pan-fried, versus a slow-roasted whole bird. Each possesses its own intricate caloric signature. And let's not even begin on the preparation methods! Brined? Butter-basted? Stuffed with high-carb dressing? These aren’t minor tweaks; they’re seismic shifts in the nutritional profile. Trying to manually log this demands an encyclopedia’s worth of data, a set of laboratory scales at the dinner table (imagine the horrified stares!), and a patience I simply do not possess. Most apps offer a generic "cooked turkey" option, a catch-all that obscures more than it reveals, leaving us adrift in a sea of statistical inaccuracies. The effort required for precision often leads to abandonment, to simply giving up on accurate tracking altogether. We want to know, desperately, but the traditional tools are blunt instruments for such a nuanced target.
This is precisely why NutriSnap represents such a profound paradigm shift. This isn't just another photo-logging app; it’s a forensic visual analyst for your plate. Our AI, trained on millions of real-world food images, doesn't just see "turkey." It discerns the cut, estimates the cooking method from visual cues like browning and texture, and, crucially, accurately gauges the volume and subsequently the mass. From a simple snapshot, it constructs a precise nutritional breakdown that would take an hour of painstaking, error-prone manual input. It eliminates the guessing, the frustration, the sheer, utter folly of trying to quantify something so inherently variable with outdated methods. The days of wrestling with scales and guesstimating cup measures for that irregular, delicious piece of turkey are, thankfully, finally over. What a relief.
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