化学
选择性
催化作用
乙醇
纳米颗粒
傅里叶变换红外光谱
催化加氢
吸附
漫反射红外傅里叶变换
无机化学
Boosting(机器学习)
核化学
光化学
化学工程
有机化学
光催化
工程类
机器学习
计算机科学
作者
Shuxing Bai,Qi Shao,Pengtang Wang,Qiguang Dai,Xingyi Wang,Xiaoqing Huang
摘要
Carbon dioxide (CO2) hydrogenation to ethanol (C2H5OH) is considered a promising way for CO2 conversion and utilization, whereas desirable conversion efficiency remains a challenge. Herein, highly active, selective and stable CO2 hydrogenation to C2H5OH was enabled by highly ordered Pd-Cu nanoparticles (NPs). By tuning the composition of the Pd-Cu NPs and catalyst supports, the efficiency of CO2 hydrogenation to C2H5OH was well optimized with Pd2Cu NPs/P25 exhibiting high selectivity to C2H5OH of up to 92.0% and the highest turnover frequency of 359.0 h–1. Diffuse reflectance infrared Fourier transform spectroscopy results revealed the high C2H5OH production and selectivity of Pd2Cu NPs/P25 can be ascribed to boosting *CO (adsorption CO) hydrogenation to *HCO, the rate-determining step for the CO2 hydrogenation to C2H5OH.
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