Declared allergens
This product declares Celery, Dairy.
Declared on pack via Open Food Facts · updated 22 Apr 2020
CUCINA DI LENSI Asparagus Risotto
Greenveil's read: consider avoiding. Food health high.
- High
Allergens
- Celery
- Dairy
Declared on pack via Open Food Facts · updated 22 Apr 2020
Why it's rated this way
No additive on this label is on our additives-of-concern list. The rating comes from nutrition (Nutri-Score) and how processed it is (NOVA).
Ingredients
- Fontal cheese3%No flag
- Lactic ferments0.4%No flag
- Contains 2% and less of1.5%No flag
- Hard grating cheese0.7%No flag
- Lactic ferments0.4%No flag
- Bergkaese cheese<0.1%No flag
- CheesecultureNo flag
- Vegetable brothNo flag
- Potato maltodextrinNo flag
- VegetableNo flag
- Natural flavouringNo flag
Show original label text
Precooked rice (water, rice, salt), water, asparagus, cream (milk), fontal cheese (milk,salt, cheese culture, enzymes), contains 2% or less of:hard grating cheese (milk, salt, cheese culture,enzymes), sunflower oil, white wine, butter (milk), wheat starch, bergkaese cheese (milk, enzymes, cheeseculture, salt), onion, vegetable broth (salt, potato flour, yeast extract, potato maltodextrin,dehydrated vegetables [onion, carrot, celery, parsley], sunflower oil, spices, natural flavor),salt, yeast extract, garlic, spice.
Alerts
Food health
Nutrition profile and additives of concern
Per-ingredient concern · chemical identity, not food safety
What drives this
- WaterModerate concern
- SaltModerate concern
- Sunflower OilLow concern
10 of 14 ingredients not yet assessed · Show allHide
Alternatives
No lower-concern alternatives are available for this product yet.
Trust & sources
Where this product data comes from
How we assembled this record: source coverage, image cache state, review state, and the active product version.
Trust & sources
Where this product data comes from
How we assembled this record: source coverage, image cache state, review state, and the active product version.
Image cache
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Pending enrichment
Ingredient content
Normalized label parsed
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