可见光谱
酒
光化学
可分离空间
化学
材料科学
有机化学
组合化学
光电子学
数学
数学分析
作者
Zainah A. AlDhawi,Latifah Alousi,I. Ercan,Bekir Özçelık,Hafedh Kochkar,Amor Benali
标识
DOI:10.1016/j.jallcom.2024.173747
摘要
The selective oxidation of the Cα−OH group of benzylic alcohols is a crucial process for the conversion of lignin into useful products. In this study, we describe the synthesis and characterization of magnetic strontium hexaferrite, SrFe12O19. The SrFe12O19 nano-powder was produced through coprecipitation at a pH level of 10. The catalyst has been studied using various methods such as X-ray diffraction (XRD), scanning electron microscopy (SEM) combined with energy-dispersive X-ray analysis (EDX), UV–vis diffuse reflectance spectroscopy (DRS), and magnetic field dependence measurements. The study aimed to evaluate the photocatalytic performance of SrFe12O19 in selective oxidation of benzylic alcohols and degradation of methylene blue under visible light. Additionally, the magnetic properties of the catalyst were also investigated. Magnetic properties were also investigated. M-SrFe12O19 with a band near 2 eV, showed excellent photocatalytic degradation performance at ca. 90% of MB under visible light. The photocatalytic degradation activity was evaluated for three cycles, and the results demonstrate that it maintains its photodegradation potency, with significant photo-degradation conversion of 89%, 87%, and 84%. The experiment clearly demonstrated that the reaction kinetics followed a pseudo-first order. The oxidation of benzyl alcohol (BzOH) was successfully carried out over SrFe12O19 in the presence of hydrogen peroxide, a highly effective green oxidant, under visible light. Notably, the experiment results showed a maximum conversion of BzOH, reaching approximately 70%, with absolute selectivity towards benzaldehyde (BzCHO). Furthermore, the yield of aldehyde increases according to the Hammett constant, with the highest yield being obtained for 2-hydroxybenzaldehyde (σ = −0.37). The synthesized M-SrFe12O19 material shows potential as an eco-friendly method for lignin valorization.
科研通智能强力驱动
Strongly Powered by AbleSci AI