National Institute of Optics (INO) Unit of Brescia, National Research Council (CNR), 25123 Brescia, Italy.
National Institute of Optics (INO) Unit of Lecco, National Research Council (CNR), 23900 Lecco, Italy.
Sensors (Basel). 2022 Aug 23;22(17):6346. doi: 10.3390/s22176346.
Response and recovery times are among the most important parameters for gas sensors. Their optimization has been pursued through several strategies, including the control over the morphology of the sensitive material. The effectiveness of these approaches is typically proven by comparing different sensors studied in the same paper under the same conditions. Additionally, tables comparing the results of the considered paper with those available in the literature are often reported. This is fundamental to frame the results of individual papers in a more general context; nonetheless, it suffers from the many differences occurring at the experimental level between different research groups. To face this issue, in the present paper, we adopt a statistical approach to analyze the response and recovery times reported in the literature for chemiresistors based on pure SnO for ethanol detection, which was chosen as a case study owing to its available statistic. The adopted experimental setup (of the static or dynamic type) emerges as the most important parameter. Once the statistic is split into these categories, morphological and sensor-layout effects also emerge. The observed results are discussed in terms of different diffusion phenomena whose balance depends on the testing conditions adopted in different papers.
响应时间和恢复时间是气体传感器最重要的参数之一。为了优化这些参数，人们提出了多种策略，包括控制敏感材料的形态。通常情况下，通过在相同条件下比较同一篇论文中研究的不同传感器来验证这些方法的有效性。此外，还经常报告比较所考虑论文的结果与文献中可用结果的表格。这对于将个别论文的结果置于更广泛的背景下至关重要；然而，它受到不同研究小组在实验层面上存在的许多差异的影响。针对这个问题，在本文中，我们采用统计方法来分析基于纯 SnO2 的用于乙醇检测的化学电阻型传感器的文献中报道的响应时间和恢复时间，之所以选择这种传感器作为案例研究，是因为它具有可用的统计数据。采用的实验设置（静态或动态类型）是最重要的参数。一旦将统计数据分为这些类别，形态和传感器布局的影响也会显现出来。根据不同扩散现象进行讨论，这些扩散现象的平衡取决于不同论文中采用的测试条件。
