Nath Upasana, Sarma Manabendra
Department of Chemistry, Indian Institute of Technology Guwahati, Assam 781039, India.
J Phys Chem A. 2023 Feb 9;127(5):1112-1123. doi: 10.1021/acs.jpca.2c06154. Epub 2023 Jan 30.
The sensors based on graphene have shown great promise in the detection of toxic air pollutants that are detrimental to nature and create risks to human health. Many recent experimental and computational efforts have been dedicated to sensor concepts incorporating pure graphene, graphene oxide, and doped graphene. Herein, a combination of spin-polarized density functional theory (DFT) with van der Waals correction and ab initio molecular dynamics (AIMD) approaches are utilized to assess the gas sensing potential of pyridinic dominance N-doped graphene (PNG) toward SO detection. The potential of PNG systems as SO sensing can be explored through an in-depth analysis of adsorption energies, electronic parameters, charge transfer, selectivity, and thermal stability. It is further demonstrated that external strains and the modulation of external electric fields are two effective ways to modify the adsorption strength. In light of these findings, our studies suggest that PNG monolayers have the potential to be an essential substrate for the detection of SO.
基于石墨烯的传感器在检测对自然有害并对人类健康构成风险的有毒空气污染物方面显示出巨大潜力。最近许多实验和计算工作都致力于包含纯石墨烯、氧化石墨烯和掺杂石墨烯的传感器概念。在此,利用自旋极化密度泛函理论(DFT)与范德华校正以及从头算分子动力学(AIMD)方法的组合,来评估吡啶主导的氮掺杂石墨烯(PNG)对SO检测的气敏潜力。通过对吸附能、电子参数、电荷转移、选择性和热稳定性的深入分析,可以探索PNG系统作为SO传感的潜力。进一步证明,外部应变和外部电场的调制是改变吸附强度的两种有效方法。鉴于这些发现,我们的研究表明PNG单层有潜力成为检测SO的重要基底。