8,9-Dimethoxy-5-phenylsulfonyl-5H-benzo[b]carbazole

In the title compound, C24H19NO4S, the benzocarbazole ring system is planar (r.m.s. deviation = 0.016 Å) and forms a dihedral angle of 78.54 (4)° with the sulfonyl-bound phenyl ring. Intramolecular C—H⋯O interactions are observed. A C(8) chain running along the b axis is formed via intermolecular C—H⋯O hydrogen bonds. The chains are linked via weak C—H⋯ π interactions.

In the title compound, C 24 H 19 NO 4 S, the benzocarbazole ring system is planar (r.m.s. deviation = 0.016 Å ) and forms a dihedral angle of 78.54 (4) with the sulfonyl-bound phenyl ring. Intramolecular C-HÁ Á ÁO interactions are observed. A C(8) chain running along the b axis is formed via intermolecular C-HÁ Á ÁO hydrogen bonds. The chains are linked via weak C-HÁ Á Á interactions.
The intermolecular C-H···O hydrogen bonds link the molecules into a C(8) chain running along the b axis (Fig.2). The packing of the molecules is further influenced by C-H··· π interactions.

Refinement
H atoms were positioned geometrically (C-H = 0.93-0.96 Å) and allowed to ride on their parent atoms, with U iso (H) = 1.5U eq (C methyl ) and 1.2U eq (C). A rotating group model was used for the methyl groups. Fig. 1

Special details
Geometry. All esds (except the esd in the dihedral angle between two l.s. planes) are estimated using the full covariance matrix. The cell esds are taken into account individually in the estimation of esds in distances, angles and torsion angles; correlations between esds in cell parameters are only used when they are defined by crystal symmetry. An approximate (isotropic) treatment of cell esds is used for estimating esds involving l.s. planes.
Refinement. Refinement of F 2 against ALL reflections. The weighted R-factor wR and goodness of fit S are based on F 2 , conventional R-factors R are based on F, with F set to zero for negative F 2 . The threshold expression of F 2 > σ(F 2 ) is used only for calculating Rfactors(gt) etc. and is not relevant to the choice of reflections for refinement. R-factors based on F 2 are statistically about twice as large as those based on F, and R-factors based on ALL data will be even larger.