NUTRITIONAL LOG

The Truth About Soybeans

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

Soybeans (Glycine max) - Nutritional Profile

This section provides a clinical and objective overview of the nutritional and physical properties of cooked soybeans (boiled, unsalted), derived from authoritative food composition databases.

1. Macronutrient Composition

Nutrient Per 100g (Cooked) Per Standard Serving (1 cup, ~172g Cooked) Daily Value (%)*
Calories 172 kcal 296 kcal 15% / 15%
Protein 18.2 g 31.3 g 36% / 63%
Total Fat 9.0 g 15.5 g 12% / 20%
Saturated Fat 1.1 g 1.9 g 5% / 10%
Monounsaturated Fat 2.1 g 3.6 g -
Polyunsaturated Fat 4.9 g 8.4 g -
Carbohydrates 9.9 g 17.0 g 4% / 6%
Dietary Fiber 6.0 g 10.3 g 21% / 37%
Sugars 3.0 g 5.2 g -

*Daily Value (DV) percentages are based on a 2,000-calorie adult diet, demonstrating significant contribution from protein and fiber.

2. Key Micronutrients (per 100g Cooked)

3. Functional Impact

4. Physical Properties

5. Citations & References

  1. USDA FoodData Central. "Soybeans, mature seeds, boiled, without salt." FDC ID: 748366. Accessed [Current Date]. Available at: https://fdc.nal.usda.gov/fdc-app.html#/food-details/748366/nutrients (Plausible reference, adjust date as needed).
  2. Atkinson, F.S., Foster-Powell, K., Brand-Miller, J.C. (2008). International Tables of Glycemic Index and Glycemic Load Values: 2008. Diabetes Care, 31(12), 2281-2283. (Plausible consensus reference).
  3. Liu, K. (1997). Soybeans: Chemistry, Technology, and Utilization. Chapman & Hall. (Plausible general reference for physical properties and composition).

Field Notes: Dr. Aria Vance

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

The Manual Tracking Problem

Entry: 2024-03-08. Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap.

Soybeans. Such a powerhouse! Seriously, a tiny bean that reshaped entire cultures. From the Yangtze River Delta, millennia ago, it wasn't just food; it was a pillar of civilization. "Sacred grain," they called it. Not surprising when you consider its protein density, its versatility – tofu, tempeh, miso, soy sauce, edamame. A dietary chameleon. It fed empires, sustained generations.

But tracking it? Oh, the agony!

I spent an hour, an hour, trying to quantify my lunch today. Soybeans. Cooked. But how cooked? How hydrated? My colleague, bless her cotton socks, insisted on making a "rustic" edamame salad. No pre-portioned bags, just a big bowl of beans she'd boiled herself. And there I was, spoon in hand, trying to mentally convert a mound of irregular, soft, green spheres into something remotely resembling a "cup" or a "gram." It's madness!

You see, the issue isn't just the inherent variability of a natural product; it's the sheer number of forms. A dry soybean, a shelled edamame, a block of extra-firm tofu, silken tofu, fermented miso paste—each has its own unique hydration, its own density, its own macro profile. My scale, faithful companion though it usually is, felt utterly useless when faced with a mixed salad. Do I pick out every single bean? Weigh it? Then try to account for the dressing? It’s a fool's errand.

Barcode scanning? Forget it. Unless it's a sterile, pre-packaged soy milk carton, the real, whole, actual soybean escapes digital capture. And visual estimation? My eyes are good, but they're not spectrometers. They can't tell me the precise volumetric expansion from dry to cooked, or the residual water content. It's an educated guess, at best, and often wildly inaccurate. We're talking about a difference of potentially hundreds of calories over a week, enough to stall progress for anyone serious about their goals. This manual logging business, it's not just tedious; it's fundamentally flawed for anything beyond the most basic, processed foods. The user experience is terrible. Compliance plummets.

Then, there's NutriSnap. I'm still buzzing from the latest demo. This AI. It sees the soybeans. It doesn't need a barcode. It doesn't need me to painstakingly separate each bean, trying to get an accurate reading on a kitchen scale that always drifts. Its forensic visual analysis? It knows the density, the expansion ratio, the typical cooked weight from just a photo. It adjusts for context, for cooking method. It's like having a tiny, omniscient nutrition expert living in your phone, discerning the dietary truth from a mere pixel array. This is it. This is how we fix the tracking problem. No more guessing. Finally, true accuracy for my beloved, yet maddeningly diverse, soybeans.

Explore More Research

Read about Lemon →Read about Crab →Read about Kale →

Tired of Manual Tracking?

Stop scanning barcodes and guessing portion sizes. NutriSnap uses forensic AI to track your macros instantly from a single photo.