Structured Nutritional Data & Citations
Fajita: Nutritional and Physical Profile
Per 100g (Cooked Meat & Vegetable Mix)
- Definition: Based on 60% grilled beef skirt steak, 25% mixed bell peppers, 15% onions.
- Calories: ~185 kcal
- Macronutrients:
- Protein: ~20.0g
- Carbohydrates: ~5.5g (of which ~2.5g sugars, ~1.5g fiber)
- Fat: ~9.0g (of which ~3.5g saturated, ~4.5g monounsaturated, ~0.5g polyunsaturated)
- Key Micronutrients:
- Vitamins: Vitamin B12 (~1.5 mcg), Niacin (Vitamin B3) (~7.0 mg), Vitamin B6 (~0.5 mg), Vitamin C (~25 mg), Folate (~20 mcg), Vitamin A (as RAE) (~40 mcg).
- Minerals: Iron (~2.0 mg), Zinc (~3.5 mg), Selenium (~20 mcg), Potassium (~250 mg), Phosphorus (~180 mg).
- Antioxidants: Quercetin (from onions), Capsaicinoids (from peppers), various carotenoids (e.g., Beta-carotene, Lutein, Zeaxanthin from peppers).
Per Standard Serving (Approx. 295g Complete Meal)
- Definition: 150g cooked fajita mix (as above), 2x 40g flour tortillas (6-inch), 30g salsa, 20g guacamole, 15g sour cream.
- Calories: ~630 kcal
- Macronutrients:
- Protein: ~37.0g
- Carbohydrates: ~60.0g (of which ~8.0g sugars, ~7.0g fiber)
- Fat: ~28.0g (of which ~10.0g saturated, ~12.0g monounsaturated, ~3.5g polyunsaturated)
- Key Micronutrients (Additional from toppings/tortillas):
- Sodium (~950 mg), Calcium (~100 mg), Thiamin (Vitamin B1) (~0.3 mg), Riboflavin (Vitamin B2) (~0.2 mg), Vitamin K (~10 mcg).
Functional Impact
- Glycemic Index (GI) / Glycemic Load (GL):
- GI: Medium-Low. The protein and fat content, along with fiber from vegetables, tortillas, and avocado, helps moderate the glycemic response of the carbohydrates.
- GL (per serving): Moderate (~20-25).
- Satiety Score: High. The significant protein content from meat, fiber from vegetables and tortillas, and healthy fats from avocado contribute to prolonged satiety.
Physical Properties
- Density (Cooked Fajita Mix): Approximately 1.05 - 1.15 g/cm³ (Varies slightly based on meat-to-vegetable ratio and doneness).
- Volumetric Contraction (After Cooking):
- Meat (e.g., skirt steak): ~20-25% reduction in volume.
- Bell Peppers & Onions: ~35-50% reduction in volume due to water loss.
- Overall Fajita Mix: Average volumetric contraction of ~30-40% from raw components to cooked state.
Citations & References
- USDA FoodData Central: FDC ID: 172081 (Beef, skirt steak, grilled), 171059 (Chicken breast, grilled), 170425 (Peppers, bell, cooked), 170364 (Onions, cooked), 170438 (Tortilla, flour, 6-inch), 170366 (Salsa), 170402 (Guacamole), 170404 (Sour cream).
- Nutrient Reference Values: Based on aggregated data and typical nutrient profiles for ingredients as found in USDA SR Legacy and FDC databases.
- Glycemic Index/Load: Estimated based on component food items from sources such as the University of Sydney GI Database and general nutritional consensus on macronutrient impacts on glycemic response.
Field Notes: Dr. Aria Vance
Subject: Fajita
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
Why Fajita Is Difficult to Track
Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap
The fajita. A culinary chameleon, a textural triumph, and a nutritionist's nightmare for precise data capture. My god, the sheer, beautiful chaos of it! At NutriSnap, we've wrestled with this beast for weeks, trying to nail its true statistical identity. A constant battle.
Historically, this dish springs from the Texas-Mexico border, born from vaqueros utilizing less desirable beef cuts – the faja, or skirt steak. Grilled, sliced, served in tortillas. Simple. Ingenious. But its modern evolution? That's what makes consistent tracking a Herculean task.
Consider the variables. Meat choice alone: beef skirt, chicken, shrimp. Each wildly different. The marinade! Oil-heavy, sugar-laden, or spice-forward. How much adheres? How much cooks off? A black box.
And the vegetables! Bell peppers and onions are standard, but their ratio varies wildly. Perfectly crisp or caramelized into sweet submission? The latter implies more sugar, more oil. Volume shrinkage is intense; raw onion takes up so much space, then… poof. Manual methods crumble. You measure cooked volume, but from what unknown initial input?
Then come the accoutrements. A cornucopia of choices! Two tortillas or three? Flour or corn? And the toppings—salsa, guacamole, sour cream, cheese. Each heaped spoonful adds significant, often hidden, calories and macros. A generous dollop of sour cream can swing an entire meal's nutritional footprint by hundreds. Consistently logging "1/4 cup salsa" at a bustling restaurant? Tedious. Prone to massive user error. Who actually measures? No one. They eyeball it. Eyeballing, my friends, is the bane of scientific accuracy.
This is precisely where traditional dietetics hits a brick wall. Barcode scanning works for packaged goods, but how do you scan a sizzling plate of fajitas? You can’t. Cups and scales? Impractical. Imagine bringing a food scale to a dinner party. Ostracized. The mental fatigue leads to under-reporting, over-reporting, and abandonment. People just give up.
It's why NutriSnap is a game-changer. Forensic visual analysis. Our AI doesn't just see "fajita"; it breaks down components. It estimates cooked meat volume, analyzes browning, differentiates between a generous dollop of guac and a sparse smear. We train it on vast datasets, identifying density changes, ingredient ratios, even subtle oil sheen. Just snap a photo. Let the AI do the heavy lifting, liberating users from the tyranny of the kitchen scale and the guessing game of the fajita. It’s glorious. Absolutely glorious.
Explore More Research
Tired of Manual Tracking?
Stop scanning barcodes and guessing portion sizes. NutriSnap uses forensic AI to track your macros instantly from a single photo.