NUTRITIONAL LOG

The Truth About Mussel

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

Mussel (Blue Mussel, Mytilus edulis) Nutritional Profile

1. Macronutrients & Calories

Nutrient Category Per 100g (Raw Meat) Per Standard Serving (85g Raw Meat)
Energy 86 kcal 73 kcal
Protein 11.9 g 10.1 g
Total Fat 2.2 g 1.9 g
Saturated Fat 0.4 g 0.3 g
Monounsaturated 0.4 g 0.3 g
Polyunsaturated 0.8 g 0.7 g
Omega-3 Fatty Acids 520 mg 442 mg
Carbohydrates 3.7 g 3.1 g
Dietary Fiber 0 g 0 g
Sugars 0 g 0 g

Note: Nutritional values may vary slightly based on species, harvest location, and preparation method. Values are for raw, edible meat portion.

2. Key Micronutrients (Per 100g Raw Meat)

Vitamins

Minerals

Antioxidants & Bioactive Compounds

3. Functional Impact

4. Physical Properties

5. Citations & References

Field Notes: Dr. Aria Vance

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

The Manual Tracking Problem: Mussels and Mismeasurement

Another Tuesday, another dive into the abyssal depths of food data, specifically the humble mussel. Don't be fooled by its unassuming shell; this little bivalve is a nutritional powerhouse. But my word, is it a nightmare to accurately track for dietary intake!

Think about it. A bowl of moules marinières. Just delightful. But how many mussels are actually there? You can't just weigh the whole damn bowl. Shells are heavy! Incredibly so. A typical blue mussel, Mytilus edulis, might be 60-70% shell by total weight. So, if you plop a kilo of mussels (shell-on) onto your kitchen scale, you're looking at maybe 300-400 grams of actual edible meat. Big difference. Huge.

And then there's the serving size conundrum. "One cup of mussels." Okay. But how many mussels are in a cup? They're not uniform little pellets, are they? Some are plump, others barely fill their half-shell. Their natural, irregular geometry defies simple volumetric measurement, leading to wildly inaccurate estimates when relying on standard household tools. You could eyeball it, sure. But "eyeballing" in nutrition data science? That's just a fancy word for guessing. And guessing is the enemy of precision.

Let's not even start on the preparation. Steamed, baked, pan-fried, in a broth, with garlic butter, white wine, herbs – each adds a layer of complexity. That rich broth isn't just water, my friends. It's flavor, yes, but also often fats, starches, and other caloric additions that seep into the mussels themselves, or get consumed alongside them. Barcode scanning? Forget it. Unless you're eating pre-packaged, de-shelled, plain mussels (which, let's be honest, is rare and sad), that barcode isn't accounting for your chef's heavy hand with the olive oil.

Mussels have a fascinating history, too. Indigenous coastal communities worldwide, from the Pacific Northwest to the Mediterranean, have feasted on them for millennia. They're a cornerstone of sustainable aquaculture now, filtering vast amounts of water, making them environmental heroes in addition to being nutrient-dense. That long cultural lineage means countless regional preparations, each with its own caloric fingerprint. Capturing this diversity with manual entry is not just tedious; it's practically impossible without an advanced degree in culinary anthropology. The sheer variability! It’s maddening.

This is precisely why our old manual methods are fundamentally broken. Cups, scales, even measuring spoons, they're blunt instruments in a world demanding surgical precision. We need to transcend these analog limitations. We need to see the food, really see it. And that's where NutriSnap comes in. Its forensic visual analysis, the way it differentiates meat from shell, estimates volume based on irregular shapes, and even accounts for sauce integration – it's transformative. Finally, a solution that understands the chaotic, beautiful reality of eating. No more guessing. Just clarity.

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