Toasted Garlic-Butter Ravioli with Spinach - PCOS-Friendly Recipe
Nutrition per Serving
Ingredients
- 16 –18 oz. cheese ravioli
- kosher salt
- 2 tbsp. extra-virgin olive oil
- 2 tbsp. unsalted butter
- 2 garlic cloves, minced
- 1/2 tsp. crushed red pepper flakes
- Freshly ground black pepper
- 5 oz. baby spinach
- 1/4 c. chopped parsley
- 1/2 c. grated Parmesan
Instructions
- Bring 12" sauté pan of water to a boil and generously season with salt. Prepare a rimmed sheet pan with parchment paper. Cook pasta according to al dente package directions. Remove ravioli using a slotted spoon and place in a single layer on the sheet pan. Discard water.
- Place the pan over medium heat. Add olive oil, butter, and garlic; sauté until butter begins to bubble, about 1 minute. Add red pepper flakes, 1 teaspoon salt, and 1/2 teaspoon black pepper; stir with a rubber spatula. Add half the ravioli and stir gently until well coated; immediately add balance of ravioli and repeat. Flip the ravioli gently as needed to prevent them from sticking. Cook ravioli until golden brown, about 5 minutes.
- Toss in spinach gently. Garnish with parsley and grated cheese. Serve immediately.
PCOS-Friendly Foods in This Recipe
This recipe contains the following foods that may benefit PCOS management: Spinach.
Spinach is a nutrient-dense leafy green vegetable that is rich in vitamins A, C, and K, as well as iron, magnesium, and antioxidants. The high iron content in spinach helps combat anemia, which is common in women with PCOS. Magnesium helps reduce inflammation and improve insulin sensitivity. The antioxidants in spinach can help lower oxidative stress, which is beneficial for managing PCOS symptoms. Including spinach in your diet can support overall health and well-being.
Stop Second-Guessing Every Meal
Get a personalized eating plan for YOUR PCOS type. Know exactly what to eat this week.
No subscription. No commitment.
Not sure what to eat for PCOS?
Take a 60-second quiz and get a personalized 7-day meal plan.
Take the Quiz
Comments
Register or log in to add a comment