Literature DB >> 33283493

Highly Selective, Defect-Induced Photocatalytic CO2 Reduction to Acetaldehyde by the Nb-Doped TiO2 Nanotube Array under Simulated Solar Illumination.

Xinzhu Qian1,2, Weiyi Yang3, Shuang Gao3, Jun Xiao1, Swastik Basu4, Anthony Yoshimura5, Yunfeng Shi4, Vincent Meunier4,5, Qi Li3.   

Abstract

The adsorption and activation of CO2 molecules on the surface of photocatalysts are critical steps to realize efficient solar energy-induced CO2 conversion to valuable chemicals. In this work, a defect engineering approach of a high-valence cation Nb-doping into TiO2 was developed, which effectively enhanced the adsorption and activation of CO2 molecules on the Nb-doped TiO2 surface. A highly ordered Nb-doped TiO2 nanotube array was prepared by anodization of the Ti-Nb alloy foil and subsequent annealing at 550 °C in air for 2 h for its crystallization. Our sample showed a superior photocatalytic CO2 reduction performance under simulated solar illumination. The main CO2 reduction product was a higher-energy compound of acetaldehyde, which could be easily transported and stored and used to produce various key chemicals as intermediates. The acetaldehyde production rate was over ∼500 μmol·g-1·h-1 with good stability for repeated long-time uses, and it also demonstrated a superior product selectivity to acetaldehyde of over 99%. Our work reveals that the Nb-doped TiO2 nanotube array could be a promising candidate with high efficiency and good product selectivity for the photocatalytic CO2 reduction with solar energy.

Entities:  

Keywords:  CO2 adsorption and activation; Nb-doped TiO2 nanotube array; acetaldehyde; photocatalytic CO2 reduction; simulated solar illumination

Year:  2020        PMID: 33283493     DOI: 10.1021/acsami.0c17174

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  1 in total

Review 1.  Insight on Reaction Pathways of Photocatalytic CO2 Conversion.

Authors:  Yiou Wang; Enqi Chen; Junwang Tang
Journal:  ACS Catal       Date:  2022-06-03       Impact factor: 13.700

  1 in total

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