Unit of Brescia, National Institute of Optics of the National Research Council (CNR-INO), 25123 Brescia, Italy.
Sensors (Basel). 2020 Dec 23;21(1):29. doi: 10.3390/s21010029.
SnO is one of the most studied materials in gas sensing and is often used as a benchmark for other metal oxide-based gas sensors. To optimize its structural and functional features, the fine tuning of the morphology in nanoparticles, nanowires, nanosheets and their eventual hierarchical organization has become an active field of research. In this paper, the different SnO morphologies reported in literature in the last five years are systematically compared in terms of response amplitude through a statistical approach. To have a dataset as homogeneous as possible, which is necessary for a reliable comparison, the analysis is carried out on sensors based on pure SnO, focusing on ethanol detection in a dry air background as case study. Concerning the central performances of each morphology, results indicate that none clearly outperform the others, while a few individual materials emerge as remarkable outliers with respect to the whole dataset. The observed central performances and outliers may represent a suitable reference for future research activities in the field.
SnO 是气体传感领域研究最多的材料之一，通常被用作其他基于金属氧化物的气体传感器的基准。为了优化其结构和功能特性，纳米颗粒、纳米线、纳米片及其最终的分级组织中的形态精细调谐已成为一个活跃的研究领域。在本文中，通过统计方法，系统地比较了过去五年文献中报道的不同 SnO 形态在响应幅度方面的差异。为了获得尽可能同质的数据集，这对于可靠的比较是必要的，分析是基于纯 SnO 的传感器进行的，重点是作为案例研究的干燥空气中乙醇检测。关于每种形态的中心性能，结果表明，没有一种形态明显优于其他形态，而一些个别材料相对于整个数据集表现出显著的异常值。观察到的中心性能和异常值可能为该领域未来的研究活动提供一个合适的参考。
