Assessment of the potential transition metal engineering of Mo-doped silicon-based fullerenes (TM@Si59Mo) as sensors for phosgene (COCl2) gas using the DFT approach

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Rahadian Zainul, Ameer H. Al-Rubaye, Diana Carolina Campaña Días, Anjan Kumar, Nada Othman Kattab, Morug Salih Mahdi, Haider Radhi Saud, Mohd Abul Hasan, Saiful Islam

2024 Materials Today Communications Vol. 40 Article Cited by 5 Quartile

Abstract

Phosgene gas (COCl2) is an extremely hazardous substance with severe and potentially lethal effects on human health. This research aims to assess the electronic structure properties of Mo-doped Silicon fullerene (Si59Mo) through decoration by group 8 transition metals (Fe, Ru, Os) as a sensor device for phosgene gas (COCl2). The study employs density functional theory (DFT) at the ωB97XD/GenECP/Def2svp/LanL2DZ theory level to investigate and analyze the proposed sensor's performance. The obtained results showed engineering of Si59Mo with transition metals such as Os, Ru, and Fe resulted in a significant increase in the energy gap of 4.1217 eV, 4.1369 eV, and 4.1389 eV for Ru@Si59Mo, Os@Si59Mo, and Fe@Si59Mo, respectively. The adsorption of phosgene (COCl2) gas on the modeled surfaces at the (O) site led to further enhancement of the energy gap, yielding 4.1272, 4.1495, and 4.1459 for COCl2_O_Si59Mo, COCl2_O_Ru@Si59Mo, and COCl2_O_Os@Si59Mo, respectively, highlighting their potential for sensing this hazardous gas. In contrast, adsorption through the (Cl) site chlorine resulted in a reduction of the energy gap from 4.0814 to 4.0771 for COCl2_Cl_Si59Mo, subsequently affecting related systems with values of 4.1555 eV, 4.0904 eV, and 4.1272 eV for COCl2_Cl_Os@Si59Mo, COCl2_Cl_Fe@Si59Mo, and COCl2_Cl_Ru@Si59Mo, respectively. It is noteworthy that COCl2_Cl_Si59Mo and COCl2_Cl_Os@Si59Mo have relatively low recovery time of −7.6947 ×10−10 and −8.0328 ×10−10. These results highlight the effectiveness of transition metal-decorated Mo-doped Silicon fullerene as a promising sensor for detecting phosgene gas. © 2024 Elsevier Ltd

Affiliations

Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri, Padang, Indonesia; Center for Advanced Material Processing, Artificial Intelligence, and Biophysics Informatics (CAMPBIOTICS), Universitas Negeri Padang, Padang, Indonesia; Center for Energy and Power Electronics Research (CEPER), Universitas Negeri Padang, West Sumatera, Padang, Indonesia; Research Fellow, INTI International University, Negeri Sembilan, Nilai, 71800, Malaysia; Department of Petroleum Engineering, Al-Kitab University, Altun Kupri, Iraq; Computing and Electronics ‎Faculty, Software and Telematics Careers, Escuela Superior ‎Politécnica del Chimborazo (ESPOCH), Riobamba, 060155, Ecuador; Department of Electronics and Communication Engineering, GLA University, Mathura, ‎‎281406, India; Department of Radiology & Sonar Techniques, Al-Noor University College, Nineveh, Iraq; College of MLT, Ahl Al Bayt University, Iraq; National University of Science and Technology, Dhi Qar, Iraq; Civil Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia