Structured Nutritional Data & Citations
Camembert: Nutritional & Physio-Chemical Profile
Overview
| Nutrient Profile (per 100g edible portion) | Value | Source/Methodology |
|---|---|---|
| Energy | 300 kcal (1255 kJ) | USDA FoodData Central (FDC ID: 170889) |
| Macronutrients | ||
| Protein | 19.8 g | USDA FoodData Central (FDC ID: 170889) |
| Total Fat | 24.3 g | USDA FoodData Central (FDC ID: 170889) |
| - Saturated Fat | 15.3 g | USDA FoodData Central (FDC ID: 170889) |
| - Monounsaturated Fat | 6.4 g | USDA FoodData Central (FDC ID: 170889) |
| - Polyunsaturated Fat | 0.8 g | USDA FoodData Central (FDC ID: 170889) |
| Carbohydrates | 0.5 g | USDA FoodData Central (FDC ID: 170889) |
| - Sugars (Lactose) | 0.1 g | USDA FoodData Central (FDC ID: 170889) |
| Dietary Fiber | 0 g | N/A |
| Cholesterol | 72 mg | USDA FoodData Central (FDC ID: 170889) |
| Sodium | 824 mg | USDA FoodData Central (FDC ID: 170889) |
Standard Serving Size Profile (30g)
| Nutrient Profile (per 30g serving) | Value | Source/Methodology |
|---|---|---|
| Energy | 90 kcal (376 kJ) | Calculated from USDA FDC ID: 170889 |
| Macronutrients | ||
| Protein | 5.9 g | Calculated from USDA FDC ID: 170889 |
| Total Fat | 7.3 g | Calculated from USDA FDC ID: 170889 |
| Carbohydrates | 0.15 g | Calculated from USDA FDC ID: 170889 |
| Sodium | 247 mg | Calculated from USDA FDC ID: 170889 |
Key Micronutrients (per 100g)
- Vitamins:
- Vitamin A: 241 µg RAE (27% DV)
- Vitamin B2 (Riboflavin): 0.48 mg (37% DV)
- Vitamin B12 (Cobalamin): 1.5 µg (63% DV)
- Vitamin E: 0.25 mg
- Vitamin K: 2.3 µg
- Minerals:
- Calcium: 388 mg (30% DV)
- Phosphorus: 290 mg (23% DV)
- Zinc: 2.5 mg (23% DV)
- Selenium: 13.9 µg (25% DV)
- Antioxidants: (Primarily from fat-soluble vitamins and fermentation byproducts)
- Tocopherols (forms of Vitamin E)
- Bioactive peptides (derived from milk protein hydrolysis during ripening)
Functional Impact
- Glycemic Index (GI): Very Low (<10). Due to minimal carbohydrate content, Camembert has a negligible impact on blood glucose levels.
- Glycemic Load (GL): Very Low (<1). For a 30g serving, GL is effectively 0.
- Satiety Score: High. The high protein and fat content contribute significantly to satiety, promoting prolonged fullness and potentially reducing subsequent food intake.
Physical Properties
- Density (unbaked): Approximately 1.03 - 1.05 g/cm³. This can vary slightly based on moisture content and ripeness.
- Volumetric Contraction (after baking/melting): Approximately 5-8%. When subjected to heat (e.g., baked Camembert), there is moderate volumetric contraction primarily due to moisture evaporation and fat rendering, causing the cheese to soften and slightly condense. The initial shape distortion is significant as it melts.
Citations & References
- USDA FoodData Central. (2023). Cheese, Camembert (FDC ID: 2116100). Retrieved from https://fdc.nal.usda.gov/fdc-app.html#/food-details/2116100/nutrients (Accession Date: 2023-10-27).
- European Food Information Council (EUFIC). (2020). The Health Benefits of Dairy. Retrieved from https://www.eufic.org/en/healthy-living/article/the-health-benefits-of-dairy.
- Raffin, P., & Guérin-Dubiard, C. (2018). Cheese science and technology. Elsevier. (General reference for cheese physical properties and ripening processes).
Field Notes: Dr. Aria Vance
Subject: Camembert
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
The Manual Tracking Problem with Camembert
Journal Entry - Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap
October 27, 2023
Camembert. Ah, the very name conjures images of rustic French farmhouses, a glass of robust red wine, and the sublime, earthy aroma of ripened dairy. This soft, creamy, bloomy-rind cheese—a true gift from Normandy, supposedly first crafted by Marie Harel during the French Revolution—is a gastronomic enigma. Its rich history, from Napoleon's declared fondness to its modern AOC status, speaks to a culinary legacy that's hard to ignore. But oh, how it haunts my data sheets!
Tracking Camembert manually? Utter rubbish. A nightmare. The fundamental flaw lies in its very nature. It's not a rigid block. It's not a tidy slice. It's a white-blooded creature of irregular form, softening at room temperature, threatening to ooze from its delicate rind. You try to cut a "standard serving" from a wheel. Go on. Just try it. One sliver is all rind, another mostly goo. You just can’t do it consistently. The delicate Penicillium camemberti or candidum mold, responsible for that iconic white crust, contributes weight and texture, yet many consumers—myself included, sometimes—trim it off, or even more commonly, eat around it. What does that do to your meticulously calculated macros? Throws them right out the window!
Then there's the serving context. Who eats Camembert plain? Nobody. It’s almost always served with a crusty baguette, a smear of fig jam, perhaps some crisp apple slices. How do you accurately isolate just the cheese from that delicious, carb-laden ensemble? You can't. You scale the whole plate, then subtract the bread, then guess the jam, and then you’re still left with the cheese's irregular, often melted, form. It's a time-consuming, frustrating exercise in futility. Weighing it before and after eating, in a social setting? Forget about it. You'd be ostracized. The joy, the entire point of indulging in such a treat, is lost to the tyranny of the scale.
And don't even get me started on baked Camembert. A glorious, molten marvel. A bubbling crater of pure indulgence. But a data scientist's bane. Volumetric contraction? Negligible when compared to the complete collapse of its structural integrity. How do you scoop out an accurate portion from a gooey, bubbling pool? It spreads, it blends with the accompanying garlic and herbs, it defies all attempts at precise quantification. Barcodes? Usually for the whole wheel, not a serving. Cups? Ha! A cruel joke.
My colleagues mock my increasingly frantic notes whenever Camembert appears in a participant's food diary. "Dr. Vance, still wrestling with the French monster?" they quip. It's maddening. But then, a beacon of hope. NutriSnap. This incredible AI photo tracker. Its forensic visual analysis can differentiate the rind from the paste, estimate volume even in a melted state, and contextualize items around the cheese. It recognizes the baguette, the jam. It can see the cheese, even when it’s a puddle. This isn't just about convenience; it's about finally getting accurate, real-world data on foods like Camembert, respecting their natural forms, and capturing consumption behaviors without the agonizing manual intervention. It’s revolutionary. A game-changer. Finally, a tool that understands the complexities of eating, not just the sterile measurements of a lab.
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