NUTRITIONAL LOG

The Truth About Tea

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

Nutritional Profile: Tea (Camellia sinensis) - Brewed, Unsweetened

This section details the nutritional content and physical properties of plain brewed tea, derived from Camellia sinensis leaves, without any added milk, sugar, or flavorings.

Macronutrients and Calories

Component Per 100g (Brewed Liquid) Per Standard Serving (1 cup, ~240g Brewed Liquid) Reference (FDC ID)
Energy 1 kcal 2 kcal 171444
Protein 0.1 g 0.2 g 171444
Total Fat 0.0 g 0.0 g 171444
Carbohydrates 0.3 g 0.7 g 171444
- Sugars 0.0 g 0.0 g 171444
- Fiber 0.0 g 0.0 g 171444

Note: Data for 'Tea, black, brewed' from USDA FoodData Central is representative of most plain brewed teas, though minor variations exist between types (e.g., green, white, oolong) and steeping methods.

Key Micronutrients

Vitamins

Minerals

Antioxidants & Bioactive Compounds

Tea is particularly rich in polyphenols, which act as powerful antioxidants. The specific compounds and concentrations vary by tea type:

Functional Impact

Physical Properties

Citations & References

Field Notes: Dr. Aria Vance

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

The Manual Tracking Problem with Tea

Dr. Aria Vance, Lead Nutrition Data Scientist, NutriSnap.

Date: 2024-04-29

Tea. Ah, tea. A seemingly simple beverage, a nutritional ghost. It’s a global phenomenon, isn't it? From the ancient misty mountains of Yunnan, China, where Camellia sinensis first unfurled its delicate leaves, to the bustling tea houses of Marrakech, or the serene Japanese tea ceremonies. Billions consume it daily. A ritual, a comfort, a simple pleasure. But try to track it. Go on, I dare you. It’s a Sisyphean task.

Manual tracking for tea is an absolute nightmare. Forget the myth of "plain tea" being a single entity. It’s a culinary chameleon! Black tea, green tea, oolong, white, pu-erh. Each has its own distinct chemical fingerprint, its particular polyphenolic profile. Then you factor in preparation. Steeping time? Water temperature? Infusion strength changes everything. A light brew is barely flavored water. A long, dark steep? That’s a whole different kettle of fish, literally. More solids extracted, more caffeine, more everything.

Then come the additions. This is where the nutritional story utterly derails. A splash of milk. Not just any milk, mind you. Whole, skim, almond, oat, soy—each with its own caloric baggage. A teaspoon of sugar? Easy 20 calories. A dollop of honey? Double that. Lemon slices, ginger, cardamom, cinnamon... all these seemingly innocuous embellishments, they add up. Dramatically. They fundamentally transform that calorie-negligible brew into something entirely different.

Who measures their tea? Really? Nobody I know meticulously weighs out milk or counts sugar granules when making their morning cuppa. A "cup" can be a dainty porcelain teacup, or it can be my monstrous 20oz office mug. The volume variability alone is infuriating. The average user just logs "1 cup black tea." It's woefully inaccurate. A whisper of calories morphs into a significant contributor to daily intake when you add the usual suspects. This isn't just about weight loss; it's about understanding one's true dietary landscape. This blind spot? It's huge.

We need precision. We need to see through the opaque steam and ambiguous mug sizes. This is precisely why NutriSnap is revolutionary. Our AI doesn’t just see "tea." It performs forensic visual analysis. It identifies the type, estimates the steeping intensity from color, detects milk's opacity, even quantifies sugar granules or the viscous sheen of honey. Finally, we can turn the art of tea into the science of nutrition. It’s not just tracking; it’s understanding.

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