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首页> 外文期刊>Surface Science >The role of oxygen vacancies on SnO_2 surface in reducing cross-sensitivity between ambient humidity and CO: A first principles investigation
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The role of oxygen vacancies on SnO_2 surface in reducing cross-sensitivity between ambient humidity and CO: A first principles investigation

机译:氧气职位空缺对SnO_2表面的作用,降低了环境湿度与CO之间的交叉敏感性:第一个原则调查

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摘要

The sensing properties of SnO2 based CO gas sensors can be affected by ambient humidity and oxygen pressure. In this study the effect of oxygen vacancy along with the adsorption mechanism of H2O and CO on SnO2 (110) surface has been investigated by performing density functional theory (DFT) calculations. The influence of ambient humidity has been taken into consideration in order to better understand the CO sensing mechanism in SnO2 based gas sensors. Molecular and dissociative adsorption of H2O on both stoichiometric and oxygen deficient surface were simulated. Adsorption energies, Bader charge analysis and the projected density of states were investigated by employing electronic structure calculations. The findings show that CO adsorption in most cases is less favorable in the presence of H2O and on the reduced SnO2 surface. However, oxygen vacancies provide more sites to adsorb H2O molecules to compensate the humidity cross-interference. Furthermore, CO to CO2 conversion along with dissociative H2O adsorption on the vacancy of oxygen site presents the highest charge transfer and very strong adsorption energy among other adsorption configurations. These findings provide a guideline for fabricating more efficient CO sensors.
机译:基于SnO2的CO气体传感器的感测性能可能受到环境湿度和氧气压力的影响。在这项研究中,通过进行密度泛函理论(DFT)计算,研究了氧空位与H2O和CO的吸附机制的影响。已经考虑了环境湿度的影响,以便更好地理解基于SnO2的气体传感器中的CO传感机制。模拟了H 2 O对化学计量和缺氧表面的分子和解离吸附。通过采用电子结构计算,研究了吸附能量,獾的收费分析和各国的预计密度。结果表明,在大多数情况下,在大多数情况下在H 2 O和减少的SnO2表面存在下不太有利。然而,氧气空位提供更多位点吸附H2O分子以补偿湿度交叉干扰。此外,CO 2转化率以及对氧遗址空位的解离H 2 O吸附具有最高的电荷转移和其他吸附配置中的吸附能量。这些发现提供了制造更有效的CO传感器的指导。

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