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基于钼镍共掺杂二氧化锡纳米结构的MEMS气体传感器对二氯甲烷的可恢复检测

Recoverable Detection of Dichloromethane by MEMS Gas Sensor Based on Mo and Ni Co-Doped SnO Nanostructure.

作者信息

Xu Mengxue, Zhong Yihong, Zhang Hongpeng, Tao Yi, Shen Qingqing, Zhang Shumin, Zhang Pingping, Hu Xiaochun, Liu Xingqi, Sun Xuhui, Cheng Zhenxing

机构信息

Institute of NBC Defence, Beijing 102205, China.

Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, 199 Ren'ai Road, Suzhou 215123, China.

出版信息

Sensors (Basel). 2025 Apr 22;25(9):2634. doi: 10.3390/s25092634.

Abstract

The challenging problem of chlorine "poisoning" SnO for poorly recoverable detection of dichloromethane has been solved in this work. The materials synthesized by Ni or/and Mo doping SnO were spread onto the micro-hotplates (<1 mm) to fabricate the MEMS sensors with a low power consumption (<45 mW). The sensor based on Mo·Ni co-doped SnO is evidenced to have the best sensing performance of significant response and recoverability to dichloromethane between 0.07 and 100 ppm at the optimized temperature of 310 °C, in comparison with other sensors in this work and the literature. It can be attributed to a synergetic effect of Mo·Ni co-doping into SnO as being supported by characterization of geometrical and electronic structures. The sensing mechanism of dichloromethane on the material is investigated. In situ infrared spectroscopy (IR) peaks identify that the corresponding adsorbed species are too strong to desorb, although it has demonstrated a good recoverability of the material. A probable reason is the formation rates of the strongly adsorbed species are much slower than those of the weakly adsorbed species, which are difficult to form significant IR peaks but easy to desorb, thus enabling the material to recover. Theoretical analysis suggests that the response process is kinetically determined by molecular transport onto the surface due to the free convection from the concentration gradient during the redox reaction, and the output steady voltage thermodynamically follows the equation only formally identical to the Langmuir-Freundlich equation for physisorption but is newly derived from statistical mechanics.

摘要

本工作解决了氯“毒化”SnO导致二氯甲烷检测回收率低这一具有挑战性的问题。通过镍或/和钼掺杂SnO合成的材料被涂覆在微热板(<1mm)上,以制造低功耗(<45mW)的MEMS传感器。与本工作及文献中的其他传感器相比,基于钼·镍共掺杂SnO的传感器在310℃的优化温度下,对0.07至100ppm的二氯甲烷具有显著响应和可恢复性的最佳传感性能。这可归因于钼·镍共掺杂到SnO中的协同效应,这一效应得到了几何和电子结构表征的支持。研究了二氯甲烷在该材料上的传感机制。原位红外光谱(IR)峰表明,相应的吸附物种太强而无法解吸,尽管该材料已表现出良好的可恢复性。一个可能的原因是强吸附物种的形成速率比弱吸附物种的形成速率慢得多,弱吸附物种难以形成显著的红外峰但易于解吸,从而使材料能够恢复。理论分析表明,响应过程在动力学上由氧化还原反应过程中由于浓度梯度引起的自由对流导致的分子向表面的传输决定,并且输出稳定电压在热力学上遵循仅形式上与物理吸附的朗缪尔 - 弗伦德里希方程相同但新从统计力学推导出来的方程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c60/12073819/98fa54733baf/sensors-25-02634-g001.jpg

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