NUTRITIONAL LOG

The Truth About Quesadilla

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

Nutritional Profile: Quesadilla (Cheese, Flour Tortilla)

Overview Per 100g

Nutrient Value Unit
Energy 275 kcal
Protein 13.5 g
Total Fat 19.0 g
Saturated Fat 11.0 g
Carbohydrates 12.5 g
Sugars 1.0 g
Dietary Fiber 0.8 g
Sodium 480 mg
Calcium 350 mg
Vitamin A 150 µg
Vitamin D 0.5 µg
Riboflavin (B2) 0.18 mg
Phosphorus 250 mg

Standard Serving Profile (Approx. 180g, one 8-inch tortilla with ~85g cheese)

Nutrient Value Unit % Daily Value (DV)*
Energy 495 kcal 25%
Protein 24.3 g 49%
Total Fat 34.2 g 44%
Saturated Fat 19.8 g 99%
Carbohydrates 22.5 g 8%
Sugars 1.8 g -
Dietary Fiber 1.4 g 5%
Sodium 864 mg 38%
Calcium 630 mg 48%
Vitamin A 270 µg 30%
Vitamin D 0.9 µg 5%
Riboflavin (B2) 0.32 mg 25%
Phosphorus 450 mg 36%
*Based on a 2,000 calorie daily diet.

Key Micronutrients & Functional Impact

Physical Properties

Citations & References

  1. USDA FoodData Central: SR Legacy FDC ID 172605 (Quesadilla, cheese, prepared with flour tortilla). Data adjusted for typical preparation. Reference: U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov.
  2. Macronutrient and Micronutrient Data: Based on typical Monterey Jack/Cheddar cheese and enriched flour tortilla compositions. Reference: USDA FoodData Central, various entries for Cheese, Monterey Jack, FDC ID 170940 and Tortillas, flour, FDC ID 172813.
  3. Glycemic Index/Load & Satiety: Estimates derived from known GI values of component ingredients (white flour products, dairy fat, protein) and their combined effects. Reference: Brand-Miller JC, Wolever TMS, Colagiuri S, Foster-Powell K. The New Glucose Revolution: The Authoritative Guide to the Glycemic Index. Marlowe & Company; 2006.

Field Notes: Dr. Aria Vance

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

The Enigma of the Quesadilla: A Nutritional Tracking Nightmare

Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap. Journal Entry: May 17th, 2024. Project: "Culinary Chameleon"

Quesadillas. Simple, right? Tortilla, cheese, griddle. But oh, the deception! This unassuming dish, with its Mesoamerican roots tracing back to corn masa and various fillings long before the Spanish introduced dairy, is a nutritional data scientist's personal hell. It began as a humble corn tortilla, folded, baked, stuffed with squash blossoms or beans. Cheese, that glorious, melting, fatty wonder, was a later colonial import. Then came the flour tortilla, the oversized plates, the endless, dizzying variations.

Tracking it manually? Forget it. It’s an exercise in futility, a Sisyphean task. How can one, with a straight face, log a "quesadilla serving"? Is it the tiny street taco-sized corn pocket from Mexico City, fried to crispy perfection, brimming with Oaxaca cheese and huitlacoche? Or is it the gargantuan, dinner-plate sized, heavily oiled flour tortilla behemoth from a chain restaurant, stuffed with industrial-grade "cheese product" and mystery meat? The difference in caloric density is astronomical. The macro profiles? Wildly divergent.

The average is a lie here. A cruel, statistical joke.

You try to use a barcode scanner. For what? The tortilla wrapper? Does that account for the three tablespoons of lard it was cooked in? Or the artisanal blend of Cotija and Monterey Jack that melts like liquid gold? It doesn’t. You attempt to eyeball it. "That looks like... half a cup of cheese?" But cheese melts. It becomes a thin, viscous layer. Its volume collapses, its fat spreads, its caloric impact remains potent. An optical illusion! Measuring spoons and scales? Sure, if you're eating at home and meticulously documenting every gram. Who lives like that? Who can live like that? The spontaneity of a street vendor, the warmth of a friend's kitchen, the convenience of a takeout order—these moments are antithetical to precise, pre-meal forensic measurement. It's impossible, really. Just guess. And that, colleagues, is where the wheels fall off the nutrition tracking cart. The system breaks.

This is precisely why we developed NutriSnap. No more guessing. No more wrestling with the phantom volume of melted cheese. Our AI, a marvel of visual recognition, dives into the pixels. It dissects the quesadilla on your plate with forensic precision. It understands the context, the texture, the subtle sheen of oil. It quantifies the cheese, differentiates the tortilla type, estimates the cooking method from a simple photo. It sees the fat, the protein, the carbs, not as abstract numbers on a label, but as visible components of your meal. Finally, real data, captured effortlessly, for a dish that has stubbornly defied every manual tracking attempt. The quesadilla’s secrets, at last, revealed.

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