Ag掺杂SnO2纳米花的制备及对乙醇气敏性能研究

杨荟茜, 刘斌*, 杜燕萍, 陈宁, 丁涛, 常薇

化工新型材料 ›› 2024, Vol. 52 ›› Issue (5) : 208 -212.

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化工新型材料 ›› 2024, Vol. 52 ›› Issue (5) : 208-212. DOI: 10.19817/j.cnki.issn1006-3536.2024.05.017
科学研究

Ag掺杂SnO2纳米花的制备及对乙醇气敏性能研究

    杨荟茜, 刘斌*, 杜燕萍, 陈宁, 丁涛, 常薇
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Preparation of Ag-doped SnO2 nanoflowers and their gas sensing properties for ethanol

  • Yang Huixi, Liu Bin, Du Yanping, Chen Ning, Ding Tao, Chang Wei
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摘要

通过一步水热法制备了不同Ag掺杂量(质量分数分别为2.5%、5%和10%)的Ag/SnO2纳米花复合材料。采用X射线粉末衍射(XRD)、X光电子能谱(XPS)、扫描电镜(SEM)和透射电镜(TEM)对样品进行结构和形貌表征,结果表明,所制备的Ag/SnO2复合材料是纳米片自组装的花状结构。气敏性能测试表明,Ag/SnO2复合材料对乙醇展现出良好的选择性。在350℃的工作温度下,Ag/SnO2纳米花复合材料对乙醇气体具有较高的灵敏度,比纯SnO2材料响应更快,且随着Ag掺杂量的增加而提高。2.5% Ag/SnO2对100×10-6乙醇的响应时间约1s,恢复时间约2s,循环测定5次后仍具有较高的稳定性。Ag掺杂SnO2纳米花传感器可为检测乙醇气体提供有益的参考。

Abstract

The Ag-doped SnO2 nanoflower composites with different Ag doping levels (2.5wt%,5wt%,10wt%) were successfully prepared by a simple one-step hydrothermal method.The structure and morphology of the samples were characterized by X-ray powder diffraction (XRD),X-ray photoelectron spectroscopy (XPS),scanning electron microscopy (SEM) and transmission electron microscopy (TEM).The results showed that the prepared Ag/SnO2 composites were flowerlike architectures assembled with nanosheets.The gas sensing property test showed that Ag/SnO2 composites exhibited good selectivity for ethanol.At the working temperature of 350 oC,the Ag/SnO2 nanoflower composite had higher sensitivity to ethanol gas,which was faster than pure SnO2 material,and the sensitivity increased with the increase of Ag doping amount.The response time of 2.5wt% Ag/SnO2 to 100 ppm ethanol was about 1s,the recovery time was about 2s,and it still had high stability after 5 cycles of measurement.Ag-doped SnO2 nanoflower sensor could provide valuable references for the detection of ethanol gas.

关键词

二氧化锡 / / 掺杂 / 乙醇 / 气敏性能

Key words

tin dioxide / silver / doping / ethanol / gas sensing properties

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Ag掺杂SnO2纳米花的制备及对乙醇气敏性能研究[J]. 化工新型材料, 2024, 52(5): 208-212 DOI:10.19817/j.cnki.issn1006-3536.2024.05.017

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基金资助

国家自然科学基金项目(21703165);陕西省科技计划项目(2021GY-122,2021KW-12)

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