diff --git a/pandas/core/series.py b/pandas/core/series.py
index 4f79e30f48f3c..0c26ce27c680c 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -580,8 +580,15 @@ def __arrow_c_stream__(self, requested_schema=None):
         PyCapsule
         """
         pa = import_optional_dependency("pyarrow", min_version="16.0.0")
-        ca = pa.chunked_array([pa.Array.from_pandas(self, type=requested_schema)])
-        return ca.__arrow_c_stream__(requested_schema)
+        type = (
+            pa.DataType._import_from_c_capsule(requested_schema)
+            if requested_schema is not None
+            else None
+        )
+        ca = pa.array(self, type=type)
+        if not isinstance(ca, pa.ChunkedArray):
+            ca = pa.chunked_array([ca])
+        return ca.__arrow_c_stream__()
 
     # ----------------------------------------------------------------------
 
diff --git a/pandas/tests/series/test_arrow_interface.py b/pandas/tests/series/test_arrow_interface.py
index 34a2a638e4185..e73cf9bee6aeb 100644
--- a/pandas/tests/series/test_arrow_interface.py
+++ b/pandas/tests/series/test_arrow_interface.py
@@ -21,3 +21,41 @@ def test_series_arrow_interface():
     ca = pa.chunked_array(s)
     expected = pa.chunked_array([[1, 4, 2]])
     assert ca.equals(expected)
+    ca = pa.chunked_array(s, type=pa.int32())
+    expected = pa.chunked_array([[1, 4, 2]], type=pa.int32())
+    assert ca.equals(expected)
+
+
+def test_series_arrow_interface_arrow_dtypes():
+    s = pd.Series([1, 4, 2], dtype="Int64[pyarrow]")
+
+    capsule = s.__arrow_c_stream__()
+    assert (
+        ctypes.pythonapi.PyCapsule_IsValid(
+            ctypes.py_object(capsule), b"arrow_array_stream"
+        )
+        == 1
+    )
+
+    ca = pa.chunked_array(s)
+    expected = pa.chunked_array([[1, 4, 2]])
+    assert ca.equals(expected)
+    ca = pa.chunked_array(s, type=pa.int32())
+    expected = pa.chunked_array([[1, 4, 2]], type=pa.int32())
+    assert ca.equals(expected)
+
+
+def test_series_arrow_interface_stringdtype():
+    s = pd.Series(["foo", "bar"], dtype="string[pyarrow]")
+
+    capsule = s.__arrow_c_stream__()
+    assert (
+        ctypes.pythonapi.PyCapsule_IsValid(
+            ctypes.py_object(capsule), b"arrow_array_stream"
+        )
+        == 1
+    )
+
+    ca = pa.chunked_array(s)
+    expected = pa.chunked_array([["foo", "bar"]], type=pa.large_string())
+    assert ca.equals(expected)