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Ultradeep desulfurization of model oil through the oxidative adsorption process using Dawson‐type polyoxometalates and graphene oxide multifunctional composites
Author(s) -
Dou ShuaiYong,
Wang Rui
Publication year - 2019
Publication title -
applied organometallic chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.53
H-Index - 71
eISSN - 1099-0739
pISSN - 0268-2605
DOI - 10.1002/aoc.4924
Subject(s) - polyoxometalate , octanal , catalysis , flue gas desulfurization , chemistry , oxide , adsorption , graphene , sulfur , nuclear chemistry , dibenzothiophene , chemical engineering , inorganic chemistry , organic chemistry , hexanal , engineering
Eight Dawson‐type polyoxometalates were successfully prepared and used in an octanal/air oxidative desulfurization (ODS) system for model oil. Among which, the classical 2:18 polyoxometalate K 6 [α‐P 2 W 18 O 62 ]·14H 2 O exhibited the best catalytic performance with a sulfur removal ratio of 99.63%. Then, K 6 [α‐P 2 W 18 O 62 ]·14H 2 O was supported on graphene oxide (GO) to afford K 6 P 2 W 18 O 62 /GO using the hydrothermal method. Due to the in situ adsorption of the supported catalysts in the ODS process, the sulfur removal ratio was 96.10% without extraction treatment. Compared with the octanal/air ODS system using pure GO as an adsorbent for the oxidation products, the sulfur removal ratio increased from 89.21 to 96.10%, and the n ‐octanal/S molar ratio decreased from 24 to 4. To facilitate the recycling of the catalyst and avoid catalyst loss, K 6 [α‐P 2 W 18 O 62 ]·14H 2 O was supported on magnetic graphene oxide (mGO) to afford K 6 P 2 W 18 O 62 /mGO. The results showed that the supported catalyst could be easily recovered with the aid of an external magnetic field, while maintaining high catalytic activity during five cycles of reuse with little catalyst loss. Furthermore, all the prepared materials were analyzed by a series of characterizations, and the reaction mechanism of the studied system was proposed through contrast tests and GC‐MS characterization analysis.