Structured Nutritional Data & Citations
Guacamole: Nutritional Profile and Physical Properties
This section provides a clinical overview of the nutritional composition and key physical attributes of guacamole, based on standard recipes predominantly featuring avocado, lime juice, and salt.
1. Macronutrients & Calories
| Nutrient | Per 100g | Per Standard Serving (50g) |
|---|---|---|
| Calories | 167 kcal | 83.5 kcal |
| Protein | 2.0g | 1.0g |
| Carbohydrates | 8.6g (Total) | 4.3g (Total) |
| 6.7g (Dietary Fiber) | 3.35g (Dietary Fiber) | |
| 1.9g (Net Carbs) | 0.95g (Net Carbs) | |
| Fat | 15.3g (Total) | 7.65g (Total) |
| 2.1g (Saturated) | 1.05g (Saturated) | |
| 9.8g (Monounsaturated) | 4.9g (Monounsaturated) | |
| 1.8g (Polyunsaturated) | 0.9g (Polyunsaturated) |
- Note: Calculations based on USDA FoodData Central, SR Legacy FDC ID: 171705 (Avocados, raw, all commercial varieties), adjusted for typical addition of lime juice and salt. A standard serving is defined as approximately 3.5 tablespoons.
2. Key Micronutrients (per 100g)
Vitamins:
- Vitamin K: 21 µg (18% DV)
- Vitamin C: 10 mg (11% DV)
- Folate (Vitamin B9): 81 µg (20% DV)
- Vitamin B6: 0.26 mg (15% DV)
- Vitamin E: 2.1 mg (14% DV)
Minerals:
- Potassium: 485 mg (10% DV)
- Copper: 0.19 mg (21% DV)
- Magnesium: 29 mg (7% DV)
- Manganese: 0.14 mg (6% DV)
Antioxidants & Phytochemicals:
- Lutein & Zeaxanthin: ~271 µg
- Phytosterols: Beta-sitosterol (~76 mg)
- Carotenoids (trace amounts)
DV = Daily Value. Source: USDA FoodData Central, SR Legacy (as above).
3. Functional Impact
- Glycemic Index (GI): Very Low (estimated <15)
- Rationale: Primarily composed of fats and fiber, with minimal digestible carbohydrates, making its impact on blood glucose negligible.
- Glycemic Load (GL) per serving (50g): Very Low (estimated <1)
- Satiety Score: High
- Rationale: The high content of monounsaturated fats and dietary fiber contributes significantly to prolonged feelings of fullness and reduced subsequent energy intake.
4. Physical Properties
- Density: ~0.93 g/cm³ (at 20°C)
- Methodology: Derived from the average density of ripe avocado flesh, considering aeration from mashing and the specific gravity of typical added ingredients (lime juice, salt).
- Volumetric Contraction After Cooking: Not Applicable (N/A)
- Rationale: Guacamole is a raw preparation and does not undergo thermal processing that would induce significant volumetric changes.
5. Citations & References
- [1] USDA FoodData Central, SR Legacy FDC ID: 171705. Avocados, raw, all commercial varieties. U.S. Department of Agriculture, Agricultural Research Service. Last accessed: October 26, 2023. (Primary data source for avocado composition).
- [2] American Diabetes Association. Glycemic Index and Diabetes. Last accessed: October 26, 2023. (General reference for GI categorization).
- [3] Rolls, B. J. (2014). The Ultimate Volumetrics Diet: Smart, Simple, Science-Based Strategies for Losing Weight and Keeping It Off. Harper Wave. (General reference for satiety concepts related to food density and composition).
Field Notes: Dr. Aria Vance
Subject: Guacamole
Focus: Volumetric expansion/contraction, historical context, tracking challenges.
The Manual Tracking Problem: Guacamole's Deceptive Simplicity
Date: October 26, 2023 Researcher: Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap
Guacamole. Ah, ahuacamolli! What a deceptively simple concoction, born from the ingenuity of the Aztecs, a vibrant green testament to their culinary prowess. From humble beginnings in Mesoamerica, where it was revered, even aphrodisiac, it journeyed across oceans, across centuries, to become the ubiquitous, often central, centerpiece of global gatherings. Every potluck, every game day, every taco night demands its presence. It's a cultural touchstone, truly.
But, for the data scientist in me, for the person striving for precise nutritional tracking, guacamole is a nightmare. A delicious, creamy, utterly maddening nightmare. You look at it; you see avocado, maybe some lime, a bit of salt, cilantro if you're lucky. Simple ingredients, right? The devil, however, is in the details. And the scooping.
Manual tracking, that archaic ritual, tries to fit this dynamic, organic dip into rigid boxes. You're supposed to measure a "serving." But what is a serving of guacamole? Is it two tablespoons? A quarter cup? How many times have you carefully spooned out what you think is a controlled portion, only for your eye to betray your stomach? The density, as we painstakingly documented in the SEO data, hovers around 0.93 g/cm³. But that's an average! That's for a perfectly, uniformly mashed batch. Guacamole isn't uniform. It's chunky, airy, dense in parts, lighter in others. It breathes. It lives. Try scooping a truly consistent volume. It's like trying to catch smoke with a sieve. The sheer variability in home recipes, too! One batch is pure avocado bliss; another, heavy on the onion, or perhaps a secret ingredient, a dash of jalapeño that changes the entire macro profile subtly. And don't even get me started on restaurant versions – loaded with extra oil for shine, or skimpy on the avocado to cut costs.
The average person, trying to log this, will grab a barcode from a pre-made tub. That’s one specific brand, one formulation. What if they made it themselves? What then? They guess. They eyeball it. They use a measuring cup, which, again, with its inherent air pockets and uneven texture, offers only a crude approximation. They spend precious moments, moments they should be enjoying conversation, or the crunch of a tortilla chip, fumbling with scales, apps, and often, exasperation. It breaks the flow. It’s tedious. It's a cognitive load. This isn't just about calories; it's about the psychological burden of dietary adherence. The mental arithmetic of trying to estimate a tablespoon when your guacamole has the structural integrity of a poorly constructed mudpie. You want to track, but the friction is immense.
This fundamental disconnect between the vibrant, artisanal nature of food and the blunt instruments of manual data entry is why NutriSnap was born. My team and I have spent countless hours refining our forensic visual analysis. Imagine simply taking a photo. Click. Our AI, trained on thousands of varied guacamole textures, densities, and serving styles – from chunky to smooth, from ramekins to bowls – meticulously reconstructs the volume. It considers the plate, the surrounding elements, the angle, everything. We don't just "guess." We analyze, we calculate. We turn that beautiful, problematic bowl of ahuacamolli into accurate, actionable data, effortlessly. It’s a game-changer. Finally, people can enjoy their guacamole, free from the tyranny of the measuring spoon.
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