[(Z)-O-Ethyl-N-propylthiocarbamato-κS](triphenylphosphine-κP)gold(I)

The title compound, [Au(C6H12NOS)(C18H15P)], features a linear S,P-donor set about the central Au atom with a deviation from linearity [S—Au—P = 176.66 (5)°] due to an intramolecular Au⋯O contact [2.991 (5) Å]. Supramolecular dimers are formed in the crystal structure mediated by C—H⋯N interactions.

The title compound, [Au(C 6
The gold atom exists in the expected linear geometry defined by a SP donor set, Table 1 and Fig. 1, and the deviation from linearity [S1-Au-P1 is 176.66 (5) Å] is traced to the close approach of the O1 atom to Au [Au···O = 2.991 (5) Å].

S2. Experimental
Compound (I) was prepared following the standard literature procedure from the reaction of Ph 3 AuCl and EtOC(S)N(H)C 3 H 7 in the presence of base (Hall et al., 1993).

S3. Refinement
The H atoms were geometrically placed (C-H = 0.94-0.98 Å) and refined as riding with U iso (H) = 1.2-1.5U eq (C). The maximum and minimum residual electron density peaks of 1.19 and 0.63 e Å -3 , respectively, were located 0.92 Å and 1.31 Å from the Au and P1 atoms, respectively.

[(Z)-O-Ethyl-N-propylthiocarbamato-κS](triphenylphosphine-κP)gold(I)
Crystal data [Au(C 6   Special details Geometry. All s.u.'s (except the s.u. in the dihedral angle between two l.s. planes) are estimated using the full covariance matrix. The cell s.u.'s are taken into account individually in the estimation of s.u.'s in distances, angles and torsion angles; correlations between s.u.'s in cell parameters are only used when they are defined by crystal symmetry. An approximate (isotropic) treatment of cell s.u.'s is used for estimating s.u.'s 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 > 2σ(F 2 ) is used only for calculating R-factors(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.