
Steamed Chinese Water Custard (Jidan Sha Cong)
Steamed Chinese Water Custard (Jidan Sha Cong) is a home-style breakfast recipe at difficulty 2/5 (Easy), about 143 kcal. This home-style dish is characterized by a silky, pudding-like texture and a fre. Ingredients and step-by-step instructions are below, with notes for home cooking.
2 / 5
★★☆☆☆
143 kcal
Ingredients
- Fresh eggs
- Hot water
- Aluminum foil or plastic wrap
Steps
- Crack the eggs into a bowl and beat until well blended.
- Place another container on the side. Pour in 1.5 times the volume of hot water (one half-eggshell equals 0.5 times water) mixed with the eggs. The water temperature should be between 20°C and 30°C. Pour the dissolved salt into this liquid.
- Pour the saline liquid into the eggs. Stir in one direction (clockwise or counter-clockwise) until well combined. Remove any large bubbles and discard them; using a sieve will result in an even smoother texture.
- Use aluminum foil to cover the bowl holding the egg mixture (or use a plate to cover it), then place it into a pot that already has a lid and approximately 3cm of hot water.
- Bring the water to a boil over medium heat, then turn the heat to the lowest setting and steam for 4 minutes.
Notes
This home-style dish is characterized by a silky, pudding-like texture and a fresh, elegant flavor. It is popular across China; in the North, it is affectionately called 'Jidan Gao' (Egg Cake). Eggs are rich in high-quality protein and lecithin, making them an easy and convenient choice for daily nutrition.
To master this dish, simply pay attention to the egg-to-water ratio and the method of slow-steaming over low heat. It is beginner-friendly and usually takes about 15 minutes from preparation to serving.
Estimated Cooking Difficulty: ★★
Estimated Calories: 143 kcal
Calculations:
- 2 Eggs
- 2g Salt
- 260ml Hot Water
- The food is best enjoyed slightly cooled after cooking to preserve the eggs' natural aroma.
- You can also add cooking soy sauce, chopped green onions, and sesame oil as condiments.
If you encounter issues following this guide, please submit an Issue or Pull request.