688 Bull. Chem. Soc. Jpn., 74, No. 4 (2001)
Gas-Phase Studies of Group-11 Cation Reactions
ty of the Auꢀ center. In contrast with the dominant association
channels produced in both Cuꢀ and Agꢀ, the Auꢀ–(2-pro-
panol) complex was yielded weakly under supersonic expan-
sion circumstances.
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9
2. MP2 and DFT methods were carried out on all complex-
es. The BLYP level of theory evaluated stronger binding ener-
gies than the MP2 calculations. We found that it is difficult to
use one uniform level of theory to model complexes consisting
of σ-donor and π-bonded ligands. Calculations at higher lev-
els using better basis sets in both metals and ligands would
lead to a more precise description of the binding energies.
Qualitatively, both methods predicted similar trends in the
binding energies and the interactions of the metal ions with
ligands. Due to the relativistic effect, Auꢀ exhibits the stron-
gest interaction with a series of ligands. Most of the reaction
products generated can be interpreted in terms of the thermo-
dynamic stability based on the energetic relation between the
reactants and the products. The absence of Agꢀ–H2O, Agꢀ-
C3H6 and Auꢀ–acetone, however, is likely in association with
the kinetic factor.
17 Y. S. Yang, W. Y. Hsu, H. F. Lee, Y. C. Huang, C. S. Yeh,
and C. H. Hu, J. Phys. Chem. A., 103, 11287 (1999).
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3. In addition to Mꢀ–ligand adducts, larger cluster ions,
Mꢀ–(ligand)n, were investigated as well. These reactions were
apparently confined to Cuꢀ and Agꢀ with cluster sizes ≥ 2,
while the reactivity changed, leading to the formation of ace-
tone, which was absent in the reactions of bare Auꢀ with 2-
propanol, appeared in Auꢀ–(solvent)n with n ≥ 2. Agꢀ–(2-pro-
panol)2 and Agꢀ–(2-propanol)(acetone) clusters were chosen
for theoretical computations using BLYP/6-31G(d,p). It is evi-
dent that the Agꢀ–(2-propanol)2 channel has a lower energy
than that of Agꢀ–(2-propanol)(acetone).
20 M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria,
M. A. Robb, J. R. Cheeseman, V. G. Zakrzewski, J. A. Montgom-
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Barone, M. Cossi, R. Cammi, B. Mennucci, C. Pomelli, C. Ada-
mo, S. Clifford, J. Ochterski, G. A. Petersson, P. Y. Ayala, G. Cui,
K. Morokuma, D. K. Malick, A. D. Rabuck, K. Raghavachari, J.
B. Foresman, J. Cioslowski, J. V. Ortiz, B. B. Stefanov, G. Liu, A.
Liashenko, P. Piskorz, I. Komaromi, R. Gomperts, R. L. Martin,
D. J. Fox, T. Keith, Al-Laham, C. Y. Peng, A. Nanayakkara, C.
Gonzalez, M. Challacombe, P. M. W. Dill,; B. Johnson, W. Chen,
M. W. Wong, J. L. Andres, C. Gonzalez, M. Head-Gordan, E. S.
Replogle, J. A. Pople, Gaussian 98, Revision A. 3, Gaussian Inc.,
Pittsburgh, PA (1998).
This research was supported by the National Science Coun-
cil of the Republic of China. We appreciate helpful discus-
sions with Dr. Ching-Han Hu concerning the theoretical calcu-
lations and grateful for his permission to use his computer
facilities. Generous allocations of computational time at the
National Center for High-Performance Computing of the Na-
tional Science Council are also acknowledged.
21 D. R. Lide, “CRC Handbook of Chemistry and Physics,”
79th ed, CRC Press, London (1998).
22 This is calculated from Do(RO–H•)
ꢁ
∆Hf(H•)ꢀ
∆Hf(RO•)21ꢂ ∆Hf(ROH)21 where ∆Hf(H•) ꢁ 1/2∆Hrxn(H2
→
H•ꢀH•)21 and R ꢁ CH3CHCH3
23 T. F. Magnera, D. E. David, and J. Michl, J. Am. Chem.
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Armentrout, J. Am. Chem. Soc., 116, 3519 (1994).
25 C. W. Bauschlicher, S. R. Langhoff, and H. Partridge, J.
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