Structured Nutritional Data & Citations
Food Profile: Wine (Red Table Wine, Dry)
- Representative Type: Dry Red Table Wine (e.g., Pinot Noir, Merlot, Cabernet Sauvignon, Syrah/Shiraz)
- USDA FoodData Central ID (Representative): 173516 (Wine, table, red)
Nutritional Composition
| Nutrient | Per 100g | Per Standard Serving (147g / 5 fl oz) | Notes |
|---|---|---|---|
| Calories | 85 kcal | 125 kcal | Primarily from ethanol and residual sugars. Varies significantly with alcohol content (ABV) and sweetness (residual sugar). |
| Macros | |||
| Protein | 0.1 g | 0.15 g | Minimal. |
| Carbohydrates | 2.6 g | 3.8 g | Composed mainly of residual sugars (glucose, fructose). Dry wines have <4 g/L, while sweeter wines can have much more. Alcohol is metabolically distinct from carbohydrates, contributing its own caloric load (7 kcal/g). |
| Fat | 0 g | 0 g | Negligible. |
| Alcohol (Ethanol) | 10.6 g (approx 13.5% ABV) | 15.6 g (approx 13.5% ABV) | Percentage by volume (ABV) is critical for caloric calculation. 1g of ethanol = ~7 kcal. |
Key Micronutrients & Bioactive Compounds
- Vitamins:
- Trace amounts of B vitamins (B1, B2, B3, B6) and Vitamin K. Insignificant contribution to daily requirements.
- Minerals:
- Potassium: 127 mg / 100g (approx. 3% DV).
- Iron: 0.69 mg / 100g (approx. 4% DV).
- Manganese: 0.1 mg / 100g (approx. 4% DV).
- Magnesium: 11 mg / 100g (approx. 3% DV).
- Phosphorus: 20 mg / 100g (approx. 2% DV).
- Calcium: 9 mg / 100g.
- Antioxidants/Polyphenols:
- Resveratrol: A stilbenoid, primarily found in red wine. Believed to have cardioprotective and anti-inflammatory properties. Concentrations vary widely based on grape variety, growing conditions, and winemaking processes.
- Flavonoids: Anthocyanins (responsible for red color), Catechins, Quercetin. Contribute to antioxidant activity.
- Tannins: Proanthocyanidins; contribute to mouthfeel and antioxidant capacity.
Functional Impact
- Glycemic Index (GI): Low (typically 20-30 for dry wines). The GI can vary based on the residual sugar content. Ethanol itself has no direct glycemic impact but can affect glucose metabolism.
- Glycemic Load (GL): Low (typically <5 per standard serving). Due to low carbohydrate content.
- Satiety Score: Complex. While alcohol provides calories, it is not processed similarly to macronutrients in terms of satiety signaling. Alcohol consumption can paradoxically stimulate appetite and reduce inhibitions, potentially leading to increased food intake during and after consumption, rather than promoting satiety.
Physical Properties
- Density: Approximately 0.985 - 0.995 g/cm³ at 20°C. Varies slightly based on alcohol content, residual sugar, and dissolved solids. (For reference, water is 1.0 g/cm³).
- Volumetric Contraction after Cooking: Not applicable for wine consumed as a beverage. Wine is consumed in its liquid state. Volumetric reduction occurs if wine is cooked down (e.g., in a sauce) due to the evaporation of water and alcohol, concentrating remaining solids and flavors, but this alters its form and nutritional context dramatically.
Citations & References
- USDA FoodData Central. (2019). Food Category: Wine, table, red. FDC ID: 2710697. Retrieved from https://fdc.nal.usda.gov/fdc-app.html#/food-details/2710697/nutrients (Access date: [Insert current date])
- Poli, A., et al. (2016). Alcohol and the Cardiovascular System: Current Roles and Future Directions. Journal of Atherosclerosis and Thrombosis, 23(7), 770-782.
- Hruby, A., & Hu, F. B. (2015). The Epidemiology of Obesity: A Big Picture. Pharmacoeconomics, 33(7), 673-685. (General reference for caloric impact of ethanol on diet).
- Brand-Miller, J. C., et al. (2007). The New Glucose Revolution: Complete Guide to Glycemic Index Values. Marlowe & Company. (Reference for GI values).
Field Notes: Dr. Aria Vance
Subject: Wine
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
Why Wine Is Difficult to Track
Another week, another deep dive into the elusive liquid diet. Wine. Ah, the nectar of the gods, the solvent of inhibitions, the bane of precise calorie tracking. For centuries, it's been more than just a drink; it's culture, ritual, medicine, status. From ancient Mesopotamian tablets detailing wine production to the Roman bacchanals, its allure is undeniable. But as a nutritional data scientist? A shimmering, ruby-red deceiver.
Trying to manually log wine consumption is a fool's errand. Seriously, it's a quantum physics problem in a stem glass. How many milliliters did you actually pour? Was that a four-ounce pour, as recommended? Or did the host, in a moment of convivial exuberance, fill it to a generous six? Perhaps seven? Eyeballing liquid volume in oddly shaped glassware is notoriously inaccurate. It’s not like weighing out a perfectly diced avocado. This fluid medium, this ghost in the machine of your dietary goals, slides down, leaving metabolic traces but zero certainty in your logbook.
The context doesn't help. Wine isn't typically consumed from a perfectly measured container. Restaurants have varied "standard" pours, often subject to the server's discretion or the establishment's particular glassware. At home? Forget it. We pour with feeling, with intuition, with "just enough." A half-glass. A top-up. These seemingly innocuous gestures add up. Exponentially. And a barcode scan? On a bottle of 2018 Barolo, after it's been uncorked and half-consumed? Impractical. Tedious. Laughable, even. The specific vintage, the alcohol by volume, the residual sugar—all crucial factors for accurate data—are often ignored in the hurried reality of social consumption. People simply guess. And guesses, my dear colleagues, are the enemy of data.
This constant imprecision, this silent sabotage of dietary adherence, drove me to distraction. It's a gaping hole in every manual food diary I've ever reviewed. The behavioral aspect is fascinating: the more enjoyable the food or drink, the less likely we are to accurately quantify it. A cognitive bias. A liquid paradox. But then, NutriSnap. The AI photo tracker. It was a revelation. Snap a photo. The AI, with its forensic visual analysis, sees the pour. Measures it against the glass, analyses the meniscus. No more guessing. No more cognitive bias. Finally, true clarity for the liquid enigma.
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