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用于一氧化氮气体传感的镝掺杂氧化锌

Dysprosium Doped Zinc Oxide for NO Gas Sensing.

作者信息

El Fidha Ghada, Bitri Nabila, Mahjoubi Sarra, Chaabouni Fatma, Llobet Eduard, Casanova-Chafer Juan

机构信息

École Nationale Supérieure d'Ingénieurs de Tunis, Université de Tunis, Avenue Taha Hussein Montfleury, Tunis 1008, Tunisia.

Laboratoire de Photovoltaïque et Matériaux Semi-Conducteurs, École Nationale d'Ingénieurs de Tunis, Université de Tunis, Tunis 1002, Tunisia.

出版信息

Sensors (Basel). 2022 Jul 10;22(14):5173. doi: 10.3390/s22145173.

DOI:10.3390/s22145173
PMID:35890853
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9317177/
Abstract

Pure and dysprosium-loaded ZnO films were grown by radio-frequency magnetron sputtering. The films were characterized using a wide variety of morphological, compositional, optical, and electrical techniques. The crystalline structure, surface homogeneity, and bandgap energies were studied in detail for the developed nanocomposites. The properties of pure and dysprosium-doped ZnO thin films were investigated to detect nitrogen dioxide (NO) at the ppb range. In particular, ZnO sensors doped with rare-earth materials have been demonstrated as a feasible strategy to improve the sensitivity in comparison to their pure ZnO counterparts. In addition, the sensing performance was studied and discussed under dry and humid environments, revealing noteworthy stability and reliability under different experimental conditions. In this perspective, additional gaseous compounds such as ammonia and ethanol were measured, resulting in extremely low sensing responses. Therefore, the gas-sensing mechanisms were discussed in detail to better understand the NO selectivity given by the Dy-doped ZnO layer.

摘要

通过射频磁控溅射生长了纯的和负载镝的ZnO薄膜。使用多种形态、成分、光学和电学技术对这些薄膜进行了表征。对所制备的纳米复合材料的晶体结构、表面均匀性和带隙能量进行了详细研究。研究了纯的和掺杂镝的ZnO薄膜的性能,以检测ppb范围内的二氧化氮(NO)。特别是,与纯ZnO对应物相比,掺杂稀土材料的ZnO传感器已被证明是提高灵敏度的可行策略。此外,研究并讨论了在干燥和潮湿环境下的传感性能,揭示了在不同实验条件下具有显著的稳定性和可靠性。从这个角度来看,还测量了其他气态化合物,如氨和乙醇,结果显示传感响应极低。因此,详细讨论了气敏机制,以更好地理解Dy掺杂ZnO层对NO的选择性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/c9c0e28533ff/sensors-22-05173-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/42a6d1386dec/sensors-22-05173-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/f06d6aff18b3/sensors-22-05173-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/64858c07af0f/sensors-22-05173-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/3520dd82e08f/sensors-22-05173-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/ce97069c70cd/sensors-22-05173-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/fc77c4598d52/sensors-22-05173-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/c9c0e28533ff/sensors-22-05173-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/42a6d1386dec/sensors-22-05173-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/3163f2c7a7b5/sensors-22-05173-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/f06d6aff18b3/sensors-22-05173-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/64858c07af0f/sensors-22-05173-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/3520dd82e08f/sensors-22-05173-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/ce97069c70cd/sensors-22-05173-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/fc77c4598d52/sensors-22-05173-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec70/9317177/c9c0e28533ff/sensors-22-05173-g009.jpg

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