H2O2-based selective oxidations by divanadium-substituted polyoxotungstate supported on nitrogen-doped carbon nanomaterials

Vasiliy Yu Evtushok, Olga Yu Podyacheva, Arina N. Suboch, Nataliya V. Maksimchuk, Olga A. Stonkus, Lidiya S. Kibis, Oxana A. Kholdeeva

Результат исследования: Научные публикации в периодических изданияхстатьярецензирование

7 Цитирования (Scopus)


In this work, we present a new methodology for the preparation of highly active, selective, leaching-tolerant and recyclable catalysts on the basis of polyoxometalates (POM) and nitrogen-doped carbon nanomaterials. A divanadium-substituted γ-Keggin phosphotungstate [γ-PW 10 O 38 V 2 (μ-O)(μ−OH)] 4− (PV 2 ), was immobilized on two types of supports – N-doped carbon nanofibers (N-CNFs) having herring-bone packing of graphite layers and bamboo-like N-doped carbon nanotubes (N-CNTs). Two series of catalysts have been prepared and characterized by elemental analysis, N 2 adsorption, TEM, XPS and FTIR techniques. Their catalytic performance was assessed in the liquid-phase selective oxidation of two representative organic substrates, 2,3,6-trimethylphenol and cyclohexene, with aqueous H 2 O 2 as the green oxidant. The presence of nitrogen in the supports ensures strong binding and quasi-molecular dispersion of POM on the carbon surface, which is crucial for the catalytic performance and catalyst stability. The catalysts reveal truly heterogeneous nature of the catalysis and can be easily recovered and reused without loss of the catalytic performance. The morphology of the support has a significant impact on the catalytic performance: the supported PV 2 catalysts prepared using N-CNTs are more active and, in general, more selective than the catalysts prepared with N-CNFs.

Язык оригиналаанглийский
Страницы (с-по)196-203
Число страниц8
ЖурналCatalysis Today
СостояниеОпубликовано - 1 сен 2020


Подробные сведения о темах исследования «H2O2-based selective oxidations by divanadium-substituted polyoxotungstate supported on nitrogen-doped carbon nanomaterials». Вместе они формируют уникальный семантический отпечаток (fingerprint).