Applied Catalysis A: General

Applied Catalysis A: General, Vol.324 Entire volume, number list

ISSN: 0926-860X (Print)

In this Issue (13 articles)

1 - 8	Mn(III) oxide pillared titanium phosphate (TiP) for catalytic deep oxidation of VOCs Das DP, Parida KM
9 - 19	Hydrogenation and ring opening of naphthalene on bulk and supported Mo2C catalysts Ardakani SJ, Liu XB, Smith KJ
20 - 29	Light olefin transformation over ZSM-5 zeolites - A kinetic model for olefin consumption Borges P, Pinto RR, Lemos MANDA, Lemos F, Vedrine JC, Derouane EG, Ribeiro FR
30 - 35	Effect of support type on the magnitude of synergism and promotion in CoMo sulphide hydrodesulphurisation catalyst Kaluza L, Gulkova D, Vit Z, Zdrazil M
36 - 41	Effects of acidification and basification of impregnating solution on the performance of Mo/HZSM-5 in methane aromatization Tan PL, Au CT, Lai SY
42 - 51	Preparation of a multilayered composite catalyst for Fischer-Tropsch synthesis in a micro-chamber reactor Guillou L, Balloy D, Supiot P, Le Courtois V
52 - 61	Nanotubular titanate supported palladium catalysts: The influence of structure and morphology on phenol hydrogenation activity Sikhwivhilu LM, Coville NJ, Naresh D, Chary KVR, Vishwanathan V
62 - 68	Supported trifluoromethanesulfonic acid as catalyst in the synthesis of flavone and chromone derivatives Bennardi DO, Romanelli GP, Autino JC, Pizzio LR
69 - 76	Synthesis and characterization of Fe- and Cu-doped molybdovanadophosphoric acids and their application in catalytic oxidation Villabrille P, Romanelli G, Gassa L, Vazquez P, Caceres C
77 - 82	Visible-light photocatalytic properties and electronic structure of Zr-based oxynitride, Zr2ON2, derived from nitridation of ZrO2 Mishima T, Matsuda M, Miyake M
83 - 86	Electrocatalytic reductive dehalogenation of polyhalogenated phenols in aqueous solution on Ag electrodes Xu YH, Zhu YH, Zhao FM, Ma CA
87 - 89	Comment on the issues of statistical modelling with particular reference to the use of artificial neural networks Sha W
90 - 93	Predictive performance of "highly complex" artificial neural networks Tompos A, Margitfalvi JL, Tfirst E, Heberger K