11/2 3/4 cup all-purpose flour
3/4 cup whole wheat flour
2 tablespoons sugar, plus 1 tablespoon
1 lemon, zested
1/4 teaspoon fine sea salt
10 tablespoons (11/4 sticks) unsalted butter, chilled and cut into 1/2-inch pieces
3 tablespoons ice water
31/2 ounces almond paste, at room temperature, cut into 1/2-inch pieces1/3 cup mascarpone cheese, at room temperature1/3 cup combined cream cheese, Greek yogurt, and
heavy cream
1 teaspoon vanilla extract
2 tablespoons honey
6 large or 12 small fresh figs, sliced, stems removed or 20 dried figs, reconstituted*
1/4 cup apricot jam
Combine the flour, 2 tablespoons sugar, lemon zest, and salt in the bowl of a food processor; pulse until blended. Add the butter and pulse until the mixture resembles coarse meal. With the machine running, gradually add the water until moist clumps form. Turn the mixture out onto a work surface and form into a ball. Flatten the dough into a disk and wrap in plastic wrap; chill for 1 hour.
In a clean food processor bowl, combine remaining sugar, almond paste, mascarpone cheese (or alternative), vanilla extract, and honey. Blend until smooth. Position an oven rack in the center of the oven. Preheat the oven to 400 degrees F.
The filling seems like a lot |
On a large sheet of parchment paper, roll out the dough into an 11-inch circle. Transfer the dough to a large, heavy baking sheet. Spread the almond filling over the dough, leaving a 2-inch border.
Spreading on the apricot jam. |
Arrange the figs on top of the almond filling, then spoon the jam over the figs.
All tucked in and ready. |
Fold the dough border over the filling to form an 8-inch round, pleating the crust loosely and pinching to seal any cracks in the dough.
Bake the tart until the crust is golden, about 40 minutes. Place the baking sheet on a rack to cool for 10 minutes, then slide a metal spatula under the crust to free the tart from the parchment. Transfer the tart to a platter and serve.
*To reconstitute dried figs, simmer in water for 5 minutes. Let the mixture cool completely. Strain before using.
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