NUTRITIONAL LOG

The Truth About Provolone

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

Provolone: Nutritional Profile & Physical Properties

This section presents a comprehensive, data-driven analysis of Provolone cheese, detailing its nutritional composition and key physical characteristics.

1. Nutritional Composition per 100g

Nutrient Category Component Value per 100g Unit
Energy Calories 351 kcal
Kilojoules 1469 kJ
Macronutrients Protein 25.5 g
Total Fat 27.2 g
- Saturated Fat 17.0 g
- Monounsaturated 7.5 g
- Polyunsaturated 0.9 g
Carbohydrates 2.1 g
- Sugars (Lactose) 0.5 g
Fiber 0 g
Other Cholesterol 87 mg
Sodium 764 mg
Water 39.5 g

2. Nutritional Composition per Standard Serving (28g / 1 oz slice)

Nutrient Category Component Value per 28g Unit
Energy Calories 98 kcal
Kilojoules 411 kJ
Macronutrients Protein 7.1 g
Total Fat 7.6 g
- Saturated Fat 4.8 g
- Monounsaturated 2.1 g
- Polyunsaturated 0.3 g
Carbohydrates 0.6 g
- Sugars (Lactose) 0.1 g
Fiber 0 g
Other Cholesterol 24 mg
Sodium 214 mg
Water 11.1 g

3. Key Micronutrients (per 100g)

4. Functional Impact

5. Physical Properties

6. Citations & References

Field Notes: Dr. Aria Vance

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

The Manual Tracking Problem

Dr. Aria Vance, Lead Nutrition Data Scientist at NutriSnap

Another Tuesday. Another deep dive. Today’s culinary quarry? Provolone. A seemingly innocuous, familiar cheese, right? Wrong. This stuff is a silent saboteur of dietary precision, a shape-shifting menace in the realm of nutrition tracking. My notes for today are less about its chemical makeup—that's all in Section 1, precise and clinical—and more about the sheer, frustrating human element of quantifying it.

Provolone. Ah, the history! It hails from Southern Italy, a beautiful, sun-drenched land. Naples, specifically, birthed this semi-hard, stretched-curd marvel. "Provolone" means "large provola," a nod to its smaller, globular cousin. It’s a cheese with personality, from the mild, buttery Provolone Dolce, aged mere months, to the sharp, piquant Provolone Piccante, which endures for over a year, developing a robust, almost spicy kick. This aging process, naturally, alters its moisture content, its density—subtly, yes, but enough to throw a wrench into our perfectly calibrated nutrition models. Who weighs their cheese before they slice it? Nobody!

And then there's the form factor. Most cheese, you get it in neat blocks, maybe pre-sliced. Provolone? Sometimes it's a giant, sausage-shaped log, often pear-shaped, hung from ropes. Rustic. Charming. An absolute nightmare to track. You carve off a chunk. You slice a sliver. Does that 'slice' match the generic 28-gram entry in your app? Highly unlikely. Every user's "slice" is a subjective, whimsical interpretation. This morphological mayhem is a core problem. People eyeball it. A thick-cut deli slice versus a paper-thin home slice. The caloric delta? Substantial. A chasm, even!

The problem only compounds when you consider its usage. It melts beautifully. Oh, the glory of provolone on a Philadelphia cheesesteak! Or layered into a lasagna, bubbling and golden. How, pray tell, does one accurately measure the mass of a melted, amorphous blob of cheese within a complex dish? You can't. You simply cannot. The barcode scanner is useless here. The kitchen scale, equally stumped, unless you’re weighing the entire cheesesteak and subtracting other components, which is... arduous. Tedious. A soul-crushing exercise in futility.

This, my friends, is why the old ways fail. Why even the most diligent tracker eventually throws their hands up in despair. The real world isn't a spreadsheet. It's messy. It's varied. It’s provolone, stretching across a hot hero, refusing to conform. It’s a behavioral science quandary, a nutritional blind spot. But there's a ghost in the machine now, a digital eye. This is where NutriSnap truly shines. Our AI doesn't just see cheese; it understands cheese. It deciphers the subtle clues in a photo – the texture, the browning, the melt characteristics, the relative size. It forensically analyzes the visual data, not just guessing, but estimating volume, and thereby mass, with a precision that manual tracking could only dream of. No more guesstimates. No more weighing every obscure, oddly-shaped morsel. Just snap a picture. Finally, a solution for the provolone problem.

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