NUTRITIONAL LOG

The Truth About Hummus

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

SECTION 1: Hummus - Nutritional & Physical Profile

1.1 Macroscopic Nutritional Composition

Nutrient Category Per 100g (Approx.) Per Standard Serving (2 Tbsp / ~30g) (Approx.) Reference
Energy 166 kcal 50 kcal USDA FDC
Protein 7.9 g 2.4 g USDA FDC
Total Carbohydrates 14.3 g 4.3 g USDA FDC
Dietary Fiber 6.0 g 1.8 g USDA FDC
Sugars 0.5 g 0.2 g USDA FDC
Total Fat 9.6 g 2.9 g USDA FDC
Saturated Fat 1.3 g 0.4 g USDA FDC
Monounsaturated Fat 5.0 g 1.5 g USDA FDC
Polyunsaturated Fat 3.0 g 0.9 g USDA FDC

Reference: USDA FoodData Central (FDC), SR Legacy Food, FoodID: 170050 (Hummus, commercial, plain or original).

1.2 Key Micronutrient Profile (per 100g)

1.3 Functional Impact

1.4 Physical Properties


Field Notes: Dr. Aria Vance

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


SECTION 2: Field Notes

The Elusive Nature of Hummus Tracking

Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap

Hummus. Oh, hummus. A simple spread, yet a nutritional data scientist's culinary white whale. My recent dive into its tracking complexities has been a real head-scratcher. Its ancient roots, stretching back through the dusty annals of the Levant, speak to a food of profound cultural significance, not merely some trendy dip. It's "hummus bi tahini" – chickpeas with tahini, nothing more, nothing less, except it's always more. A veritable chameleon.

We think of it as a side, a snack. Nonsense! For millennia, it’s been a cornerstone meal, slathered generously on pita, a vehicle for vibrant vegetables, a true staple. But here's the rub: its very ubiquity, its foundational role, makes tracking it accurately a Sisyphean task. Consider the regional variations: a sprinkle of paprika here, a shower of fresh parsley there, a glug of the finest olive oil in Beirut versus a more restrained hand in, say, Cairo. Pine nuts toasted to golden perfection in one village, fiery green chilies pounded in another. Each tiny flourish, each cultural nuance, fundamentally alters its macro and micronutrient profile.

This is where the manual tracking façade crumbles. "Just log two tablespoons." A laugh riot! What is a tablespoon of hummus? Is it leveled? Heaping? Does it have a generous pool of olive oil on top, an unspoken caloric bonus? The human element—our boundless optimism for what constitutes a "standard" scoop—is a formidable enemy to precision.

And let's not even start on the barcode conundrum. A neatly packaged tub? Fine. But what about the local deli’s homemade batch, brimming with untold secrets of tahini-to-chickpea ratios? What about Auntie Fatma's legendary recipe, heavy on the lemon and garlic, served with a ladle, not a measly spoon? You can’t weigh every serving. Seriously, who pulls out a food scale at a bustling souk or a friend's dinner party? You'd look like a mad scientist, or worse, deeply antisocial. The sheer inconvenience, the social faux pas, makes consistent adherence impossible for most. It’s a behavioral barrier, a wall.

This problem, this pervasive manual-tracking fatigue, this inherent imprecision of volumetric estimation for such a dynamically composed food, is why my work at NutriSnap feels so vital. Our AI, honed by countless images, trained to see beyond the surface, to perform forensic visual analysis of volume and even estimate compositional subtleties from a photograph—that's the game-changer. Finally, a true depiction of my breakfast pita, its generous smear of homemade hummus forensically analyzed, not some generic database entry. The future of nutrition tracking, I'm convinced, lives in the pixels, not in the tedious, frustrating tug-of-war with a measuring spoon.

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