氢解
愈创木酚
催化作用
双金属片
激进的
化学
水溶液
无机化学
光化学
有机化学
作者
Zhicheng Luo,Zhaoxia Zheng,Lei Li,Yi‐Tao Cui,Chen Zhao
出处
期刊:ACS Catalysis
[American Chemical Society]
日期:2017-10-27
卷期号:7 (12): 8304-8313
被引量:185
标识
DOI:10.1021/acscatal.7b02317
摘要
Aqueous-phase hydrogenolysis of renewable biomass at low H 2 pressures is an attractive route to selectively produce renewable fuels and valuable chemicals. Here, we show that Ru and Ni nanoparticles (NPs) dispersed on HZSM-5 with an optimum H • radical transfer catalyzed a rapid rate (152 mmol g –1 h –1 ) of hydrogenolysis of C–O bonds in lignin-derived guaiacol at 240 °C and 2 bar H 2 pressure in water. The coimpregnated individual Ru and Ni nanoparticles (NPs) on HZSM-5 were highly dispersed and did not present an alloy structure, but the individual Ru and Ni NPs were in close proximity. The guaiacol hydrogenolysis rates were proportional to the amounts of the adjacent RuO 2 and NiO NPs on the calcined samples, suggesting that the closely contacted Ru and Ni NPs on HZSM-5 are the active sites. In the water phase at low H 2 pressures, Ru dissociated the hydrogen molecules to H • radicals (H • ), and then such radicals were transferred to adjacent Ni atoms to activate the capability of inert Ni centers. The adjustment of the H • transfer length between Ru and Ni NPs led to shorter H • transfer lengths, which resulted in activities as high as 118 mmol g –1 h –1 . The transferring and anchoring of H • radicals was considered to be achieved by the Si–OH groups and their defects on HZSM-5, as demonstrated by a temperature-programmed desorption of hydrogen coupled with mass spectroscopy (TPD/H 2 -MS) experiment. To further shorten the H • transfer length over uniformly formed Ru and Ni nanoparticles, the isolated Ni islands were removed through the incorporation of a Ru precursor that initially occupied the Brønsted acid sites on HZSM-5. By fully activating the two metals in the aqueous phase via an H • transfer mechanism at low H 2 pressures, the rational design of bimetallic Ru–Ni catalysts provides a promising approach for achieving substantially high rates in selective hydrogenolysis steps.
科研通智能强力驱动
Strongly Powered by AbleSci AI