通过退火效应开发氧化锌掺杂硫化镉纳米复合材料的化学氧气传感性能

IF 3.2 4区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of the Indian Chemical Society Pub Date : 2024-09-18 DOI:10.1016/j.jics.2024.101387
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引用次数: 0

摘要

在此,我们介绍了专为气体传感应用定制的氧化锌(ZnO)掺杂硫化镉(CdS)纳米复合材料的合成及其特性。纳米复合材料采用化学合成方法制备,并通过退火工艺进行了优化。优化的退火条件可提高气体传感性能。系统地评估了氧化锌掺杂硫化镉纳米复合材料在各种气体环境(包括常见的工业污染物)下的气体检测性能。纳米复合材料表现出良好的气体传感能力,对特定气体具有灵敏度和选择性。研究结果表明,退火过程对气体传感性能有显著影响,从而提高了响应和恢复时间,并增强了选择性和稳定性。因此,合成的纳米复合材料可用作氧气传感的合适材料。
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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Developing zinc oxide-doped cadmium sulfide nanocomposites chemically for oxygen gas sensing properties via annealing effects
Here, we describe the synthesis and properties of zinc oxide (ZnO)-doped cadmium sulfide (CdS) nanocomposites tailored for gas sensing applications. The nanocomposites were prepared using a chemical synthesis method and underwent optimization through annealing processes. The optimized annealing conditions are determined to enhance the gas sensing properties. The gas detection properties of the zinc oxide doped cadmium sulfide nanocomposites are systematically evaluated under various gas atmospheres, including common industrial pollutants. The nanocomposites exhibit promising gas sensing capabilities, demonstrating sensitivity and selectivity towards specific gases. The results indicate that the annealing process significantly influences the gas sensing performance, leading to improved response and recovery times, as well as enhanced selectivity and stability.This research highlights the importance of controlled annealing in tailoring the gas detection properties of nanocomposites. Therefore, the synthesized nanocomposite can be used for a suitable materials for oxygen sensing.
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来源期刊
CiteScore
3.50
自引率
7.70%
发文量
492
审稿时长
3-8 weeks
期刊介绍: The Journal of the Indian Chemical Society publishes original, fundamental, theorical, experimental research work of highest quality in all areas of chemistry, biochemistry, medicinal chemistry, electrochemistry, agrochemistry, chemical engineering and technology, food chemistry, environmental chemistry, etc.
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