利用废咖啡绿色合成 Co3O4 纳米粒子:在催化和光催化染料降解中的应用

Sean Drummer , Orlette Mkhari , Mahabubur Chowdhury
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摘要

清洁的水对社会进步至关重要,然而,染料造成的污染是一项重大的全球性挑战。受染料污染的工业废水使废水处理设施不堪重负,对水体和生态系统造成危害。本研究利用废咖啡提取物作为生物还原剂合成了 Co3O4 纳米粒子,并将其应用于染料降解。利用 X 射线衍射 (XRD)、透射电子显微镜 (TEM) 和紫外可见光谱证实了纳米结构的结构和光学特性。Co3O4 激活的过一硫酸盐 (PMS) 系统表现出卓越的催化效率,即使在没有光照的情况下,也能在 30 分钟内实现 89.27% 的酒石酸染料降解率。当暴露在模拟可见光下时,降解动力学速率提高了 37.60%,凸显了 Co3O4 纳米粒子卓越的光催化活性。此外,与传统的 Co3O4/PMS 系统相比,利用自然阳光可使酒石酸的降解率达到 97.11%,这表明反应效率大幅提高了 45.41%。最后,Co3O4 纳米粒子对合成工业染料废水(酒石酸、甲基橙和雷马佐艳红)的降解效果显著,去除率高达 92.77%,这表明它在实际应用中的潜力。
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Green synthesis of Co3O4 nanoparticles using spent coffee: Application in catalytic and photocatalytic dye degradation

Clean water is vital for societal progress, however, the pollution caused by dyes presents a significant global challenge. Dye-contaminated industrial effluent overwhelms wastewater treatment facilities, causing harm to water bodies and ecosystems. This study demonstrates the synthesis of Co3O4 nanoparticles using spent coffee extract as a bioreducing agent and its application in dye degradation. The structural and optical properties of nanostructures were confirmed using X-ray diffraction (XRD), Transmission Electron Microscopy (TEM), and UV–vis spectroscopy. The Co3O4-activated peroxymonosulfate (PMS) system exhibited exceptional catalytic efficiency by attaining a degradation rate of 89.27 % for Tartrazine dye within a 30-minute timeframe, even in the absence of illumination. When exposed to simulated visible light, the degradation kinetic rate increased by 37.60 %, highlighting the excellent photocatalytic activity of Co3O4 nanoparticles. Furthermore, leveraging natural sunlight led to a notable Tartrazine degradation rate of 97.11 %, signifying a substantial 45.41 % enhancement in reaction efficiency when contrasted with the conventional Co3O4/PMS system. Lastly, the Co3O4 nanoparticles illustrated remarkable degradation of synthetic industrial dye effluents (Tartrazine, Methyl Orange, and Remazol Brilliant Red), reaching up to 92.77 % removal, indicating its potential for use in real-world scenarios.

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