Structured Nutritional Data & Citations
Gorgonzola Cheese: Nutritional and Physical Profile
1. Macronutrient Breakdown
| Nutrient | Per 100g | Per Standard Serving (28g) |
|---|---|---|
| Energy | 371 kcal (1552 kJ) | 104 kcal (435 kJ) |
| Protein | 21.4 g | 6.0 g |
| Carbohydrates | 2.5 g (0.5 g sugars) | 0.7 g (0.14 g sugars) |
| Fat | 30.6 g (19.8 g saturated fat) | 8.6 g (5.5 g saturated fat) |
| Fiber | 0 g | 0 g |
| Cholesterol | 89 mg | 25 mg |
| Sodium | 1580 mg | 442 mg |
Reference: USDA FoodData Central, FDC ID: 170992, Gorgonzola cheese.
2. Key Micronutrients
| Micronutrient | Per 100g Daily Value (%) | Functional Role |
|---|---|---|
| Calcium | 615 mg (62%) | Bone health, muscle function, nerve transmission |
| Phosphorus | 415 mg (42%) | Bone formation, energy metabolism, cell membrane integrity |
| Riboflavin (B2) | 0.4 mg (31%) | Energy production, cellular growth, red blood cell formation |
| Vitamin B12 | 1.7 µg (71%) | Nerve function, DNA synthesis, red blood cell production |
| Vitamin A | 290 µg RAE (32%) | Vision, immune function, cell growth |
| Zinc | 3.3 mg (30%) | Immune function, wound healing, protein synthesis |
Reference: USDA FoodData Central, FDC ID: 170992, Gorgonzola cheese.
3. Functional Impact
- Glycemic Index (GI): Very Low (<15). Due to minimal carbohydrate content, Gorgonzola has negligible impact on blood glucose levels.
- Glycemic Load (GL): Very Low (effectively 0-1 per serving).
- Satiety Score: High. The combination of high protein and fat content contributes significantly to satiety, promoting feelings of fullness and potentially reducing overall caloric intake in subsequent meals.
4. Physical Properties
- Density: Approximately 1.1 g/cm³ (for firm, aged varieties). Density can vary slightly based on moisture content and aging (e.g., Gorgonzola Dolce typically has a slightly lower density due to higher moisture).
- Volumetric Contraction After Cooking: Minimal. While melting, Gorgonzola primarily undergoes a phase transition from solid to liquid/viscous, rather than significant volumetric contraction. Its volume remains largely stable, though its spreadability and shape change significantly. Nutritional density per unit mass remains constant.
Reference: General principles of food rheology and cheese science (e.g., Fox et al., 2017, "Cheese: Chemistry, Physics and Microbiology") for density estimations and physical behavior.
Field Notes: Dr. Aria Vance
Subject: Gorgonzola
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
Why Gorgonzola Is Difficult to Track
Date: October 26, 2023 Subject: Gorgonzola - The Blues of Data Collection
Today, my thoughts fixated on Gorgonzola. What an enigmatic, beautiful mess of a food. Its very existence, a testament to microbial mastery, makes it a nightmare for traditional nutritional tracking. We've got its pristine, clinical data points, sure, but that's just the tip of the iceberg, a dry scientific rendering of a vibrant, living thing.
Think about it. This cheese, born in the foggy valleys of Lombardy, possibly as early as the 9th century! Legend says a distracted cheesemaker, too busy with love, left his curds overnight, only to mix them with fresh curds the next morning. A happy accident, a culinary revelation. "Stracchino di Gorgonzola," they called it, from "stracche," meaning tired, referencing the cows returning from mountain pastures. It’s got a DOP status, a protected designation, for goodness sake! It's not just food; it's heritage.
But how do you track heritage? You can't. And you certainly can't manually track the exact nutritional intake of something so inherently variable. You want to measure Gorgonzola Dolce? That soft, buttery, almost spreadable dream. Or Gorgonzola Piccante, crumbly, firmer, with its intense, biting character? Good luck. The difference in moisture content alone throws off any "per cup" or "per spoon" measurement. A tablespoon of creamy Dolce is a very different beast from a tablespoon of dry, dense Piccante crumbles.
Then there's the serving conundrum. Is it a crumble on a salad? A smear on a cracker? Melted into a creamy pasta sauce? A thick slab on a charcuterie board? Each presentation utterly defies simple volumetric or weight-based estimation. You could meticulously weigh every single crumb. You could scrape the sauce off your plate and analyze its exact Gorgonzola content. Tedious. Impractical. Soul-destroying, actually. It's like trying to count individual stars in a galaxy with a pair of binoculars and a tally sheet. Futile.
This is precisely why our conventional tracking methods are a leaky sieve. They fail the moment food deviates from a perfectly uniform, easily measurable cube or liquid. People give up. They estimate wildly. They become nutritionally blind to the nuances of their diet because the tools are too cumbersome, too demanding. The whole system crumbles under the weight of real-world complexity, much like a beautiful, aged Gorgonzola Piccante.
That's where NutriSnap strides in, like a nutritional superhero. Our AI, our forensic visual analysis, it sees beyond the estimated serving. It understands the irregular shapes, the inherent variability. It deciphers the crumbled texture, the melty spread. We’re not just counting calories; we’re interpreting the culinary landscape. It’s solving the Gorgonzola problem, one photo at a time. A true game-changer.
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.