Structured Nutritional Data & Citations
Grape (Vitis vinifera) - Nutritional Profile and Physical Properties
A. Macronutrient & Caloric Profile
| Nutrient | Per 100g (Raw Grapes, Red or Green) | Per 1 Standard Serving (1 cup, 92g) |
|---|---|---|
| Calories | 69 kcal | 63 kcal |
| Protein | 0.72 g | 0.66 g |
| Carbohydrates | 18.1 g | 16.6 g |
| - Sugars | 15.48 g | 14.24 g |
| - Fiber | 0.9 g | 0.8 g |
| Fat | 0.16 g | 0.15 g |
| - Saturated | 0.054 g | 0.050 g |
| - Monounsaturated | 0.007 g | 0.006 g |
| - Polyunsaturated | 0.048 g | 0.044 g |
Reference: USDA FoodData Central, SR Legacy Food: 09132, Grapes, red or green (Vitis vinifera), raw.
B. Key Micronutrients (Per 100g)
- Vitamins:
- Vitamin K: 14.6 µg (12% DV)
- Vitamin C: 3.2 mg (4% DV)
- Thiamin (B1): 0.069 mg (6% DV)
- Riboflavin (B2): 0.07 mg (5% DV)
- Pyridoxine (B6): 0.086 mg (5% DV)
- Minerals:
- Copper: 0.127 mg (14% DV)
- Potassium: 191 mg (4% DV)
- Manganese: 0.071 mg (3% DV)
- Iron: 0.36 mg (2% DV)
- Antioxidants & Phytonutrients:
- Resveratrol (polyphenol, particularly in red/purple grapes and skins)
- Quercetin (flavonoid)
- Anthocyanins (in red/purple grapes)
- Catechins (flavonoids)
- Lutein + Zeaxanthin (carotenoids)
Reference: USDA FoodData Central, SR Legacy Food: 09132, Grapes, red or green (Vitis vinifera), raw. Daily Values (DV) based on a 2000-calorie diet.
C. Functional Impact
- Glycemic Index (GI): 53 (Low)
- Glycemic Load (GL): Approximately 8 per 100g serving (Low-Moderate)
- Calculation for GL: (GI x Carbohydrates per serving) / 100 = (53 x 18.1) / 100 ≈ 9.6 per 100g, or (53 x 16.6) / 100 ≈ 8.8 per 92g serving.
- Satiety Score: Moderate. Due to high water content (81% by weight) and dietary fiber, grapes contribute to feelings of fullness, though their relatively high sugar content can lead to quicker digestion compared to foods with higher protein or fat.
- Digestive Impact: Fiber aids in regularity. Resveratrol and other polyphenols are associated with cardiovascular benefits and anti-inflammatory properties.
References: Harvard Health Publishing, International Tables of Glycemic Index and Glycemic Load (2002); USDA FoodData Central.
D. Physical Properties
- Density: Approximately 1.03 - 1.07 g/cm³
- Volumetric Contraction After Cooking: Primarily consumed raw; cooking contraction is not typically applicable. When dehydrated to form raisins, there is significant water loss (over 75% by weight), resulting in a much higher nutrient and caloric density per unit volume.
References: Experimental measurements for fruit densities; General food science principles.
Field Notes: Dr. Aria Vance
Subject: Grape
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
The Manual Tracking Problem: Why the Grape is a Calorie Counting Conundrum
Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap
The grape. Ah, the venerable grape. A tiny orb of history. It's not just food, is it? It's a relic from antiquity, an emblem of Dionysus, a cornerstone of civilization itself. From the sun-baked slopes of ancient Mesopotamia, clinging to the first trellises, to the modern supermarket shelf—its journey is immense. Viticulture, an art form! Thousands of varieties exist. Thousands. Each with its own subtle ballet of sugars, acids, and phenolic compounds. Green, red, black, tiny Muscat, plump Concord, crisp Cotton Candy… It's a world, truly.
But for us, the data scientists, the nutrition trackers, these tiny spheres of delight are nothing short of a manual measurement nightmare. An absolute pain point. You think you know a grape. You don't. How many are in a "handful"? My lab coat bristles at the very notion. Is your hand small, delicate? Or a lumberjack's mitt? The sheer variability! A small handful could be 50 grams, a generous one 150 grams. The difference in calorie intake for a snack? Significant. Undeniable.
And then there's the context. Are you at home, weighing each cluster on a digital scale like a forensic scientist? Highly unlikely. You’re grazing. Plucking them from a bowl, popping them in your mouth, perhaps distracted by a screen or conversation. "Just a few more," you think. Those "few more" add up. They always do. Your brain, marvelous as it is, is a terrible calorie counter. We inherently underestimate. This is human nature, not malice.
The standard "cup" measurement? A joke. A cruel, cruel joke. Are they densely packed? Loosely tossed? Large grapes or small ones? The air pockets alone could skew the reading by a scandalous margin. Barcodes? Useful for pre-packaged bags, sure, but what about the loose grapes from the farmer's market? The ones picked fresh from your neighbor's vine, still warm from the sun? No UPC, no digital record. A black hole of nutritional information.
It’s a Sisyphean task, truly. This constant battle against estimation, against human error, against the very nature of amorphous snack consumption. The tedious logging, the weighing, the mental arithmetic—it wears people down. Compliance plummets. Accurate data becomes a myth. We needed something... revolutionary. Something that saw the grape, really saw it. Its size, its density, its context.
Then NutriSnap. A quantum leap. A visual truth serum for your plate. Its forensic visual analysis, discerning the exact volume, estimating the precise count, understanding the type of grape from a simple photo. It observes the subtle variations, the nuances that escape our manual methods. Suddenly, the grape, this ancient, problematic fruit, is tamed. Its secrets, finally revealed with precision. We are no longer guessing. We are knowing. And that, my friends, changes everything.
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.