Center for Environmental and Energy Research (CEER) - Engineering of Materials via Catalysis and Characterization, Ghent University Global Campus, 119-5 Songdomunhwa-Ro, Yeonsu-Gu, Incheon, 406-840, Republic of Korea; Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, 653 Coupure Links, Ghent, B-9000, Belgium.
Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University, 653 Coupure Links, Ghent, B-9000, Belgium.
Chemosphere. 2024 Jun;358:142118. doi: 10.1016/j.chemosphere.2024.142118. Epub 2024 Apr 25.
A comprehensive kinetic model has been developed to address the factors and processes governing the photocatalytic removal of gaseous ethanol by using ZnO loaded in a prototype air purifier. This model simultaneously tracks the concentrations of ethanol and acetaldehyde (as its primary oxidation product) in both gas phase and on the catalyst surface. It accounts for reversible adsorption of both compounds to assign kinetic reaction parameters for different degradation pathways. The effects of oxygen vacancies on the catalyst have been validated through the comparative assessment on the catalytic performance of commercial ZnO before and after the reduction pre-treatment (10% H/Ar gas at 500 °C). The influence of humidity has also been assessed by partitioning the concentrations of water molecules across the gas phase and catalyst surface interface. Given the significant impact of adsorption on photocatalytic processes, the beginning phases of all experiments (15 min in the dark) are integrated into the model. Results showcase a notable decrease in the adsorption removal of ethanol and acetaldehyde with an increase in relative humidity from 5% to 75%. The estimated number of active sites, as determined by the model, increases from 7.34 10 in commercial ZnO to 8.86 10 mol g in reduced ZnO. Furthermore, the model predicts that the reaction occurs predominantly on the catalyst surface while only 14% in the gas phase. By using quantum yield calculations, the optimal humidity level for photocatalytic degradation is identified as 25% with the highest quantum yield of 6.98 10 (commercial ZnO) and 10.41 10 molecules photon (reduced ZnO) catalysts.
已开发出一个综合动力学模型,以解决使用负载在原型空气净化器中的 ZnO 光催化去除气态乙醇的因素和过程。该模型同时跟踪气相中和催化剂表面上乙醇和乙醛(作为其主要氧化产物)的浓度。它考虑到了这两种化合物的可逆吸附,为不同的降解途径分配了动力学反应参数。通过对商业 ZnO 在还原预处理(500°C 下 10% H/Ar 气体)前后的催化性能进行比较评估,验证了氧空位对催化剂的影响。还通过将水分子的浓度分配到气相和催化剂表面界面,评估了湿度的影响。鉴于吸附对光催化过程的重大影响,模型将所有实验的初始阶段(黑暗中 15 分钟)纳入其中。结果表明,随着相对湿度从 5%增加到 75%,乙醇和乙醛的吸附去除量显著下降。模型估计,活性位的数量从商业 ZnO 中的 7.34 10 增加到还原 ZnO 中的 8.86 10 mol g。此外,模型预测反应主要发生在催化剂表面,而气相中只有 14%。通过量子产率计算,确定了光催化降解的最佳湿度水平为 25%,此时量子产率最高,商业 ZnO 为 6.98 10 个分子光子,还原 ZnO 为 10.41 10 个分子光子。