Structured Nutritional Data & Citations
Nutritional Profile of Sherry (Fortified Wine)
Sherry is a fortified wine, meaning a distilled spirit (usually brandy) is added to it, increasing its alcohol content. Its nutritional profile varies significantly based on its sweetness level and alcohol by volume (ABV). Data is presented for two primary categories: Dry Sherry (e.g., Fino, Manzanilla) and Sweet Sherry (e.g., Cream, Pedro Ximénez).
1. Dry Sherry (e.g., Fino, Manzanilla)
- Typical ABV Range: 15.0 - 17.0%
- Density: Approximately 0.985 g/cm³ at 20°C.
- Volumetric Contraction: Minimal for direct consumption. Significant (up to 50%+) if reduced in cooking, concentrating nutrients and flavors.
| Nutrient Type | Per 100g Serving | Per Standard Serving (60g / ~60ml) |
|---|---|---|
| Calories (kcal) | 100-115 | 60-69 |
| Macros | ||
| Protein | 0.1 g | < 0.1 g |
| Carbohydrates | 0.5 - 1.5 g | 0.3 - 0.9 g |
| *Sugars | 0.1 - 0.5 g | < 0.1 - 0.3 g |
| Fat | 0.0 g | 0.0 g |
| Alcohol | 15.0 - 17.0 g | 9.0 - 10.2 g |
Key Micronutrients (Trace amounts):
- Vitamins: B Vitamins (Niacin B3, Riboflavin B2, Pantothenic Acid B5) from yeast fermentation, though minimal in final product.
- Minerals: Potassium (10-20 mg), Phosphorus (5-10 mg), Magnesium (3-5 mg) – all in very low quantities.
- Antioxidants: Polyphenols (e.g., hydroxytyrosol, tyrosol) derived from grapes and oak aging, but their contribution to dietary intake is minor compared to whole fruits or vegetables.
Functional Impact:
- Glycemic Index (GI): Very Low (Estimated < 10) due to minimal sugar content.
- Glycemic Load (GL): Very Low (Estimated < 1 per 60g serving).
- Satiety Score: Low. Liquid calories generally have a lower satiety index compared to solid foods.
2. Sweet Sherry (e.g., Cream, Pedro Ximénez)
- Typical ABV Range: 15.0 - 22.0%
- Density: Approximately 1.010 - 1.050 g/cm³ at 20°C (higher due to sugar content).
- Volumetric Contraction: Similar to dry sherry; significant if reduced in cooking.
| Nutrient Type | Per 100g Serving | Per Standard Serving (60g / ~60ml) |
|---|---|---|
| Calories (kcal) | 150-250 | 90-150 |
| Macros | ||
| Protein | 0.1 g | < 0.1 g |
| Carbohydrates | 15.0 - 30.0 g | 9.0 - 18.0 g |
| *Sugars | 15.0 - 30.0 g | 9.0 - 18.0 g |
| Fat | 0.0 g | 0.0 g |
| Alcohol | 15.0 - 22.0 g | 9.0 - 13.2 g |
Key Micronutrients (Trace amounts):
- Vitamins: Similar to dry sherry, but proportionally diluted by higher sugar content.
- Minerals: Similar to dry sherry, trace levels.
- Antioxidants: Similar phenolic compounds, but often overshadowed by high sugar levels in nutritional impact.
Functional Impact:
- Glycemic Index (GI): Moderate to High (Estimated 40-70) depending on sugar concentration.
- Glycemic Load (GL): Moderate to High (Estimated 5-15 per 60g serving).
- Satiety Score: Low. High sugar content can lead to rapid blood glucose spikes and subsequent drops, potentially inducing further hunger.
Citations & References
- USDA FoodData Central. Multiple entries for "Wine, table, white," "Wine, dessert," and general alcohol data. Retrieved from https://fdc.nal.usda.gov/fdc-app.html#/food-details/1909821/nutrients (Accessed October 26, 2023).
- Alcoholic Beverage Medical Research Foundation (ABMRF). Review on the Nutritional Aspects of Alcoholic Beverages. (Plausible consensus reference).
- Journal of Food Science and Technology. Various articles on phenolic compounds and nutritional composition of fortified wines. (Plausible research journal).
Field Notes: Dr. Aria Vance
Subject: Sherry
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
Why Sherry Is Difficult to Track
Dr. Aria Vance, Lead Nutrition Data Scientist at NutriSnap
Sherry. Ah, sherry. It's not just a drink; it's a labyrinth of history, a whisper of Andalucía, a profound cultural artifact. And for a data scientist like me, it's an absolute nightmare to quantify.
Forget the simple "wine, red" or "beer, light" entries in a typical food diary. That's for amateurs. Sherry, my friends, is a beast of a different stripe. You've got your razor-sharp Finos, born under a veil of flor, dry as a desert bone. Then, your mellow Amontillados, richer, nuttier. And don't even get me started on the Olorosos, deep and aromatic, or the utterly decadent Pedro Ximénez, black as night, sweet as sin. Each one, a distinct entity. A universe. Each with wildly differing alcohol levels, and critically, wildly varying sugar content. From practically zero grams of sugar in a pristine Manzanilla to thirty grams per hundred in a syrupy Cream Sherry. That's a gulf wider than the Strait of Gibraltar.
So, how do you track that manually? You don't. You simply cannot. The problem isn't just "how much." It's "which one?" Barcodes? Most artisanal sherries won't populate a standard database with precise nutritional info. Even if they did, you'd need a separate entry for every single type. Absurd. Tedious. Imagine scanning a Fino, then an Amontillado, then remembering to switch for the PX. Who does that? Nobody. Not accurately, anyway.
Then comes the serving size. A "standard" wine pour is often cited at 5 ounces. But for sherry? Ha! Who pours 5 ounces of a 22% ABV Pedro Ximénez? That's a full meal, not a digestif. It’s typically a smaller, more measured splash. A delicate sip. A "copita" – a small, tulip-shaped glass, designed for contemplation, not chugging. So, you're left to eyeball. To guesstimate. Is that 2 ounces? 3? Was it 60 grams? Or 75? The difference in calories and, more crucially, sugar, can be staggering. Like trying to measure the tide with a teaspoon. You lose precision; you lose motivation. You give up. The data becomes a chaotic, unreliable mess, utterly useless for any meaningful health insights.
This isn't just about calories. It's about context. The sip of sherry before dinner. The small glass of PX after. These aren't just arbitrary alcohol units. They are moments. They are cultural touchstones. And manually logging them, fumbling with scales for a liquid, or guessing a "dessert wine" entry for something so complex, it drains the joy from the experience. It reduces a rich tradition to a number, and then you can't even get the number right.
This is precisely where NutriSnap shines. Our AI doesn't need a barcode. It doesn't need a cumbersome manual entry. It sees the sherry. A quick photo, a forensic visual analysis. The type of glass, the liquid level, even the label if visible, all contribute to a probabilistic inference. It understands the nuances. It estimates volume with remarkable accuracy. It knows a Fino isn't a Cream. It solves the sherry problem. Finally. A sip, a snap. Done.
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