Smart Ones Nutri-Score A NOVA 4

Asian-Style Beef And Broccoli

Asian-Style Beef And Broccoli: 0 tracked ingredients

Asian-Style Beef And Broccoli by Smart Ones has 0 tracked ingredients. Its Nutri-Score is A.

  • NOVA processing classification: group 4

Frozen foods

How This Score Is Built

Asian-Style Beef And Broccoli draws on FDA status, EU regulatory status, US state actions, and published research, combined into a single editorially-derived 1-5 scale (never an official government rating). 0 of its 0 tracked ingredients are scored so far; data as of 2026-09-07.

Open Food Facts, FDA, and EU regulatory records feed this score. The FDA site → has the primary record; our methodology page explains the scoring.

0
Tracked Ingredients
0
Concerning
0
Low Risk / Safe
A
Nutri-Score

No tracked ingredients found for this product.

The ingredients in this product may not yet be in our database.

Processing Level

4
NOVA Group 4
Ultra-processed foods

Ultra-processed products are formulations made mostly or entirely from substances derived from foods and additives. They typically contain ingredients not commonly used in home cooking.

Full Ingredients List

Broccoli, sauce (water, reduced sodium soy sauce [water, wheat, soybeans, salt, alcohol, vinegar, lactic acid], onions, dark brown sugar, modified cornstarch, garlic, soybean oil, sesame seeds, ginger puree [ginger, water], roasted granulated garlic, potassium chloride, ground red pepper, xanthan gum, spice, natural flavor), cooked seasoned beef pot roast dices and modified food starch caramel color added (beef, water, dextrose, salt, modified cornstarch, concentrated beef stock, sodium phosphates, beef tallow, spice extractives, caramel color).

Product Details

Barcode
0025800052905
Nutri-Score
Grade A
NOVA Group
4 — Ultra-processed foods
Available In
United States

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Every figure on PlainIngredients is rendered directly from FDA, EU, EFSA and U.S. state regulatory records, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.