NUTRITIONAL LOG

The Truth About Camembert

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 Journal

Camembert - Nutritional Profile

Energy
300 kcal
Protein
19.8 g
26% of calories
Carbohydrates
0.5 g
Fiber: 0 g Sugars: 0.1 g
Fat
24.3 g
Saturated: 0.8 g Trans: 0g
Sodium: 824 mg
Cholesterol: 72 mg

Calorie Distribution Ratio

Protein (26%)
Carbs (1%)
Fat (73%)

Key Micronutrients

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 💎 Calcium: 388 mg (30% DV) 💎 Phosphorus: 290 mg (23% DV) 💎 Zinc: 2.5 mg (23% DV) 💎 Selenium: 13.9 µg (25% DV) 🛡️ Tocopherols (forms of Vitamin E) 🛡️ Bioactive peptides (derived from milk protein hydrolysis during ripening)

Biochemical 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 Volumetrics

Density: Approximately 1.03 - 1.05 g/cm³. This can vary slightly based on moisture content and ripeness.
Volumetric Contraction/Expansion: 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

  • 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

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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