A novel low-concentration isopropanol gas sensor based on Fe-doped ZnO nanoneedles and its gas sensing mechanism

A novel low-concentration isopropanol gas sensor based on Fe-doped ZnO nanoneedles and its gas sensing mechanism
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基于Fe掺杂ZnO纳米针的新型低浓度异丙醇气体传感器及其气敏机理

DOI:
10.1007/s10853-020-05453-1
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发表时间:
2020-10-23
影响因子:
4.5
通讯作者:
Debliquy, Marc
Debliquy, Marc
中科院分区:
材料科学3区
文献类型:
--
作者:
Luo, Yifan;Ly, Ahmadou;Debliquy, Marc

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通过分析呼出气体中的挥发性有机化合物(VOCs)来检测肺癌,由于其对患者来说是简单且非侵入性的,因此引起了很多关注。在呼吸中存在的众多VOC中,异丙醇被认为是一种重要的生物标志物,可以帮助区分健康和不健康的人。在这项工作中,一个高灵敏度的Fe掺杂ZnO纳米针为基础的气体传感器进行了研究,用于检测低浓度(低于10 ppm)的异丙醇。通过水热法合成了纯的和Fe掺杂的ZnO,并将其喷涂到配备有一对金叉指电极的氧化铝基底上。利用SEM对敏感层的形貌进行了表征,利用XRD对敏感层的相结构和成分进行了分析。研究了不同温度和浓度下纯ZnO和Fe掺杂ZnO的气敏特性。结果表明,Fe掺杂显著提高了ZnO纳米针的传感性能。对于异丙醇检测,Fe的最佳掺杂浓度为5at%,最佳工作温度为275 °C。该传感器显示出对250 ppb异丙醇的高响应,以及在不同湿度水平下的高稳定性。
The detection of lung cancer via the analysis of volatile organic compounds (VOCs) in exhaled breath has attracted a lot of attention as it is simple and non-invasive for the patients. Among the numerous VOCs exist in the breath, isopropanol is believed to be an important biomarker that can help to discriminate between healthy and unhealthy people. In this work, a highly sensitive Fe-doped ZnO nanoneedles-based gas sensor was studied for the detection of isopropanol at low concentrations (below 10 ppm). The pure and Fe-doped ZnO were synthesized via a hydrothermal method and spray-coated onto an alumina substrates equipped with a pair of gold interdigitated electrodes. The morphologies of the sensing layers were characterized by SEM, while the phase structure and composition were determined by XRD. The sensing properties of pure and Fe-doped ZnO were investigated under different temperatures and concentrations. It is found that Fe doping significantly increased the sensing performance of ZnO nanoneedles. The optimal doping concentration of Fe is 5 at% for isopropanol detection, and the optimal working temperature is 275 °C. The sensor showed a high response to 250 ppb isopropanol, together with high stability under different humidity levels.