Combining TiO2 photocatalysis with inorganic oxidants (such as O3 and H2O2) or transition metal ions often leads to a synergy. In this work we studied the disappearance of thiacloprid, a modern neonicotinoid insecticide, applying various advanced oxidation processes and TiO2 photocatalysts. In photocatalytic ozonation experiments, synergic effect of three different TiO2 photocatalysts was quantified. On the contrary, no synergy was observed in photocatalytic degradation of thiacloprid in the presence of dissolved iron(III) species.
COBISS.SI-ID: 1422587
The new method described herein is based on the homogeneous entrapment of terephthalic acid (TPA) in the polymer host to form a transparent thin solid layer over photocatalyst surface and on highly sensitive fluorescence detection of the one of TPA oxidation products. This method represents a step forward due to several desirable characteristics for the self-cleaning tests: it comprises solid–solid interface, slow oxidation process can be traced in a short time scale, it is quantitative and direct method to follow photocatalytic oxidation process, the TPA layer itself is photostable.
COBISS.SI-ID: 1466619
Apart from being very known multiferroic material BiFeO3 also shows very interesting photocatalytic properties and therefore is interesting for future development toward hydrogen generation with photocatalytic splitting of water. On BiFeO3 we have performed missing fundamental characterisation of the vibrational properties. From the analysis of the Ag and Eg vibrational modes we have theoretically as well as experimentaly determine the elements of Raman tensor.
COBISS.SI-ID: 1358843
The research has focused in the very detailed studies of Bi-rich compounds of tantalates and niobates, which has proved themselves as a promissing photocatalyst, which optoelectronic properties can be flexibly modified. In this contribution we studied compositional and thermal stability of tetragonal polimorphs from the Bi3Nb1-xTaxO7 system. The studies showed on the possibility that the tetragonal Bi3TaO7 compound that never has been synthesized before, is stable.
COBISS.SI-ID: 1621499
Neural networks of different sizes and architectures were trained with critical temperature, critical pressure, critical volume, acentric factor, dipole moment and temperature to correlate and predict virial coefficients of gases. Two trained networks were chosen as models for prediction virial coefficients according to the smallest error learning. The first network can predict second virial coefficients for twenty gases very closely. The second network can predict third virial coefficients for thirteen gases less accurate because of bad experimental data used for training.
COBISS.SI-ID: 14409494