Oxygen vacancy and interface effect dual modulation of SnS2/SnO2 heterojunction for boosting formaldehyde detection at low temperature.

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2025-05-01 Epub Date: 2025-01-13 DOI:10.1016/j.talanta.2025.127586
Dan Meng, Li Ma, Lei Zhang, Xiaoguang San, Zongsheng Xie, Quan Jin, Jian Qi
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Abstract

Formaldehyde (HCHO) is a harmful volatile organic pollutant, which is commonly found in interior decoration and furniture products. Therefore, it is necessary to develop a gas sensor that can quickly and accurately detect formaldehyde for human health and environmental protection. In order to achieve this goal, in this work, SnS2/SnO2 heterostructure was synthesized by in-situ sulfurization process on the basis of SnO2 nanospheres, and its formaldehyde sensing performance was studied. After testing, it was found that the gas sensor based on SnS2/SnO2 heterojunction has more excellent gas sensing performance than pure SnO2 gas sensor at the same operating temperature (100 °C). Specifically, SnS2/SnO2-2 (Sn:S = 3:2) has the advantages of high sensitivity (4.01 at 0.1 ppm), excellent selectivity, low theoretical detection limit (13.26 ppb), good humidity resistance and long-term stability. The excellent sensing performance of SnS2/SnO2 sensors for formaldehyde detection is mainly attributed to the n-n heterojunction formed by SnS2 and SnO2, which generates a built-in electric field to accelerate the electron transport in the material, the higher oxygen vacancy sites adsorb a large number of reactive gas molecules to promote the oxidation of formaldehyde molecules, and the unique porous structure to promote the transmission and diffusion of gases and increase the surface area to provide more adsorption sites and reactive centers for gas molecules. Therefore, the construction of SnS2/SnO2 heterostructures will be an effective way to develop next-generation formaldehyde gas sensors with higher sensing performance.

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氧空位和界面效应双调制SnS2/SnO2异质结促进甲醛低温检测。
甲醛(HCHO)是一种有害的挥发性有机污染物,通常存在于室内装饰和家具产品中。因此,有必要开发一种能够快速、准确检测甲醛的气体传感器,以保护人类健康和环境。为了实现这一目标,本研究在 SnO2 纳米球的基础上,通过原位硫化工艺合成了 SnS2/SnO2 异质结构,并对其甲醛传感性能进行了研究。经过测试发现,在相同的工作温度(100 °C)下,基于 SnS2/SnO2 异质结的气体传感器比纯 SnO2 气体传感器具有更优异的气体传感性能。具体来说,SnS2/SnO2-2(Sn:S = 3:2)具有灵敏度高(0.1 ppm 时为 4.01)、选择性好、理论检出限低(13.26 ppb)、耐湿性好和长期稳定性好等优点。SnS2/SnO2 甲醛检测传感器之所以具有优异的传感性能,主要得益于 SnS2 和 SnO2 形成的 n-n 异质结产生的内置电场加速了材料中的电子传输,较高的氧空位吸附了大量活性气体分子促进了甲醛分子的氧化,独特的多孔结构促进了气体的传输和扩散,增加了比表面积为气体分子提供了更多的吸附位点和活性中心。因此,构建 SnS2/SnO2 异质结构将是开发具有更高传感性能的下一代甲醛气体传感器的有效途径。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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