Structured Nutritional Data & Citations
Deep Research Journal: Pizza (General Cheese/Pepperoni Variety)
Nutritional Profile (Per 100g & Standard Serving)
Food Item: Pizza, cheese/pepperoni, regular crust (representative average) Source: USDA FoodData Central (FDC ID: 172900, 172904 - average across similar entries) Standard Serving Size: 1 slice (approx. 125g) of a 14-inch medium pizza.
| Nutrient | Per 100g | Per Standard Serving (125g) |
|---|---|---|
| Energy | 266 kcal (1113 kJ) | 333 kcal (1391 kJ) |
| Macronutrients | ||
| Protein | 11.4g | 14.3g |
| Carbohydrates | 32.7g | 40.9g |
| Sugars | 3.1g | 3.9g |
| Fat (Total) | 9.9g | 12.4g |
| Saturated Fat | 4.8g | 6.0g |
| Fiber | 2.2g | 2.8g |
| Water | 42.1g | 52.6g |
Key Micronutrients (Per 100g)
- Vitamins:
- Vitamin A: 68 µg RAE (7.6% DV)
- Vitamin C: 1.6 mg (1.8% DV) - primarily from tomato sauce
- Thiamin (B1): 0.19 mg (15.8% DV)
- Riboflavin (B2): 0.23 mg (17.7% DV)
- Niacin (B3): 2.0 mg (12.5% DV)
- Minerals:
- Calcium: 185 mg (18.5% DV) - significant from cheese
- Iron: 1.6 mg (8.9% DV)
- Sodium: 580 mg (25.2% DV) - high, due to cheese, processed meats, and crust
- Potassium: 160 mg (3.4% DV)
- Phosphorus: 210 mg (16.8% DV)
- Zinc: 1.2 mg (10.9% DV)
- Antioxidants: Lycopene (from tomato sauce), selenium (from crust/flour), various polyphenols.
Functional Impact
- Glycemic Index (GI): Typically moderate to high (GI 60-80). Varies significantly based on crust type (whole wheat vs. refined white flour) and toppings.
- Glycemic Load (GL): Moderate to high. For a standard 125g slice, GL could range from 20-30, impacting post-prandial glucose response.
- Satiety Score: Moderate (approx. 120-150% relative to white bread, based on internal NutriSnap research evaluating mixed macronutrient meals). The high palatability and fat content can sometimes override typical satiety signals, leading to overconsumption.
Physical Properties
- Density (Cooked): Approx. 0.75 g/cm³ (average for a regular crust, topped slice). This can range from 0.6 g/cm³ for thin-crust varieties to 0.9 g/cm³ for thick, doughy crusts.
- Volumetric Contraction after Cooking:
- Dough: Exhibits net expansion due to yeast fermentation and gas trapping, increasing porosity.
- Toppings (e.g., Cheese): Significant melt and flow, often leading to a reduction in initial height/volume and surface area coverage, densifying the topping layer.
- Overall: A complex interplay. While the crust expands, the melting and compacting of cheese and other moist toppings typically results in a net slight volumetric reduction or stabilization of the overall slice compared to its raw, assembled state. Moisture loss during baking also contributes to density changes.
Citations & References
- USDA FoodData Central, National Agricultural Library. (n.d.). Search results for "Pizza". Retrieved from https://fdc.nal.usda.gov/fdc-app.html#/food-details/2036440/nutrients (Specific entries such as FDC ID 172900 for "Pizza, cheese, regular crust, frozen, cooked" and FDC ID 172904 for "Pizza, pepperoni, regular crust, frozen, cooked" were aggregated for representative values).
- 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.
- Holt, S. H. A., Brand Miller, J. C., & Petocz, P. (1998). An insulin index of foods: the insulin demand generated by 1000-kJ portions of common foods. The American Journal of Clinical Nutrition, 67(6), 1150-1154.
Field Notes: Dr. Aria Vance
Subject: Pizza
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
The Manual Tracking Problem
Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap.
Pizza. Ah, pizza! A culinary titan. A global unifier. A nutritional nightmare for anyone attempting to track macros with even a sliver of precision. Forget the neatly packaged, USDA-analyzed frozen varieties; those are children's play. We're talking about the real deal here. The artisanal. The hole-in-the-wall. The Friday night delivery that arrives in a steamy cardboard box, its aroma a siren song of cheesy, saucy oblivion.
Where does one even begin? Napoli, 18th century, a flatbread for the working class. Simple. Rustic. Margherita, 1889, queen-approved. Now? A veritable kaleidoscope of permutations. Deep dish, thin crust, Detroit style, Neapolitan, New York slice. Each a distinct universe. Each a different journey for your digestive system. Think about it: a millimeter of crust thickness change. A slightly denser mozzarella. A particularly generous ladle of marinara. Every single variable sends your careful calculations careening off a cliff.
Manual tracking? A fool's errand. You pull out your scale, a digital artifact of a bygone era. You eye the slice. Is it a true eighth of the pie? Or did the cutter veer off, leaving you with a glorious, oversized wedge that skews all your protein goals? Then there's the volumetric issue. Cheese melts. It flows. It reduces. How do you measure that effectively? You can't scoop it and weigh it like a bowl of oats. It fuses with the crust. A sticky, delicious trap. Do you scrape off the toppings? Unthinkable! The sacrilege!
I've watched colleagues, bright, dedicated scientists, descend into despair. They’d weigh the entire pizza before and after eating, calculating the difference by mass. But that doesn't account for toppings they might've picked off (guilty!). Or the oil left behind in the box. It’s an exercise in futility, a Sisyphean struggle against cheesy, saucy entropy. Barcodes? Useless for 90% of pizza experiences. Cups? Please. Scales? Only if you enjoy meticulously deconstructing your meal into its constituent parts, an act that drains all joy from the experience.
This constant frustration, this relentless quest for accurate, real-world food data, pushed me. It pushed us all. It ignited a spark. And then, there it was: NutriSnap. A revelation. An AI trained on millions of images, analyzing forensically. It sees the thickness of the crust. The sheen of the oil. The density of the pepperoni distribution. It quantifies. It understands. Finally, a solution that lets us enjoy our pizza – in all its glorious, unquantifiable messiness – without sacrificing our data integrity. It's truly revolutionary.
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.