用于高效光催化降解四环素复合材料的 CdTe QDs@SiO2 复合材料

IF 9.1 Q1 ENGINEERING, CHEMICAL Green Chemical Engineering Pub Date : 2024-02-02 DOI:10.1016/j.gce.2024.01.004
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引用次数: 0

摘要

在当代,四环素作为一种普遍的抗生素被广泛应用于生活的各个方面。然而,抗生素的过度使用对环境造成了明显的影响。因此,科学界越来越重视开发能有效降解四环素的催化剂。本研究开发了一种新型纳米材料,用二氧化硅外壳封装碲化镉量子点(QDs)。独特的合成方法产生的复合材料具有异质性,大大增加了与污染物的接触面积。因此,光电子向二氧化硅球体的转移得到了显著改善,从而在催化过程中实现了更高效的分离。研究调查了催化剂的负载量、四环素的初始浓度、pH 值以及碲化镉 QDs(SiO2 + 碲化镉 QDs)的重量比等不同因素如何影响光催化降解四环素的效果。研究结果表明,催化剂浓度为 0.25 克/升、溶液 pH 值为 9 时,降解效率最佳,在短短 2 小时内降解率达到 96%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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CdTe QDs@SiO2 composite material for efficient photocatalytic degradation of tetracycline composites

In the contemporary context, tetracycline is widely utilized as a prevalent antibiotic in various facets of life. However, the excessive use of antibiotics has caused visible environmental consequences. Henceforth, the scientific community has increasingly focused on developing catalysts that exhibit exceptional efficacy in the proficient degradation of tetracycline. In this study, a novel nanomaterial was developed to encapsulate CdTe quantum dots (QDs) with a SiO2 shell. The distinct synthesis approach generated a composite material that showed heterogeneity and considerably increased the contact area with contaminants. Consequently, the transfer of photoelectron to the SiO2 spheres was significantly improved, leading to a more efficient separation during the catalytic process. The study investigated how different factors, such as the loading of the catalyst, the initial concentration of tetracycline, pH levels, and the wight ratio of CdTe QDs (SiO2 + CdTe QDs) affected the effectiveness of photocatalytic tetracycline degradation. The findings indicated that the optimal degradation efficiency was observed at a catalyst concentration of 0.25 g/L and a solution pH of 9, leading to an impressive degradation rate of 96% within a mere 2 h timeframe.

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来源期刊
Green Chemical Engineering
Green Chemical Engineering Process Chemistry and Technology, Catalysis, Filtration and Separation
CiteScore
11.60
自引率
0.00%
发文量
58
审稿时长
51 days
期刊最新文献
OFC: Outside Front Cover Outside Back Cover Outside Back Cover OFC: Outside Front Cover Integration of physical information and reaction mechanism data for surrogate prediction model and multi-objective optimization of glycolic acid production
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