NUTRITIONAL LOG

The Truth About Pear

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

Pyrus communis (Common Pear)

This section details the nutritional, functional, and physical properties of the common pear (Pyrus communis), based on a raw, European variety.


1. Nutritional Composition

Nutrient Group Per 100g (Raw Pear) Per Medium Pear (approx. 178g)
Calories 57 kcal 101 kcal
Macronutrients
Protein 0.36 g 0.64 g
Carbohydrates 15.23 g 27.09 g
- Dietary Fiber 3.1 g (11% DV) 5.5 g (20% DV)
- Sugars 9.75 g 17.35 g
Fat 0.14 g 0.25 g
Water 83.99 g 149.50 g

2. Key Micronutrients (per 100g)

3. Functional Impact

4. Physical Properties

5. Citations & References

Field Notes: Dr. Aria Vance

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

The Enigma of the Pear: Why Manual Tracking Fails

Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap.

The pear. Oh, the pear! It's not just a fruit; it's a testament to human agricultural prowess, a whisper from antiquity. Ancient. Elegant. Its lineage stretches back millennia, gracing banquet tables from the Tang Dynasty to Roman feasts. A truly global citizen of the fruit world. Emperors adored them. So did common folk. But what is a pear, really?

This question, seemingly simple, utterly vexes the meticulous manual diet tracker. It's a fundamental breakdown of the system. Imagine, if you will, our diligent user, perhaps Dr. Eleonora Finch, carefully preparing her morning oatmeal. She reaches for a pear. A Bartlett? A Bosc? Anjou? Or one of those delightful, crisp Asian pears, round as an apple? Each is distinct. Her mind races, "How many grams is this one?" She stares at the fruit, then at the kitchen scale. Tedium. She sighs, knowing that a smaller, slightly under-ripe pear simply won't have the same sugar profile, the same cellular structure, as a plump, perfectly ripe specimen oozing juice. It’s like comparing a fresh-cut timber to driftwood. Similar, but profoundly different in its granular properties.

The sheer variability is breathtaking. A small backyard Bartlett might be a mere 120 grams. A gargantuan Bosc from the supermarket, however, could easily hit 250 grams. This isn't just a 10% swing; it's often a 100% difference! And let's not even start on ripeness. A rock-hard, unripe pear? Mostly starches. A soft, perfumed, ripe one? Sugars galore, a caramel sweetness that screams glucose and fructose. Our current databases often give us a single, averaged "pear, raw." Average! What even is average when faced with such organic anarchy?

Then there's preparation. Does Dr. Finch eat it raw? Sliced into a salad? Diced into yogurt? Or, heaven forbid, baked into a tart with added sugars, spices, and butter, transforming its very essence? The once firm, fibrous structure collapses, releasing its sugars, changing its overall bioavailability. It's no longer "a pear," but a derivative of a pear. How does one accurately log that without resorting to cumbersome, multi-step entries involving obscure fractions of "pear, cooked" and "added sugar, brown, packed"? It's a cognitive burden. A psychological barrier. A fast track to giving up on tracking altogether. Who carries a portable lab to discern the exact sugar conversion in a baked fruit? No one.

This is precisely where the old paradigms falter. And this is where NutriSnap shines. This is where the magic, the pure, unadulterated necessity of something like NutriSnap truly reveals itself. Forget the scales, forget the endless database searches for "pear, raw, European, average, slightly ripe." NutriSnap sees the pear. Its AI, trained on millions of images, doesn't guess; it analyzes. It perceives the size, the specific variety through visual cues, the visible ripeness of that exact fruit on that exact plate. It's forensic visual analysis, giving context to the complexity. It quantifies the 'pearness' of a pear, making the invisible, visible. Finally, clarity.

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