Farag M.A. Altalbawy , Shaker Al-Hasnaawei , Prakash Kanjariya , Anjan Kumar , Asha Rajiv , Debasish Shit , Helen Merina Albert , Sumit Pokhriyal
{"title":"通过掺杂 CuO、NiO 和成对 CuO-NiO 金属氧化物调谐 MoSe2 纳米片的电子和吸附特性,以实现咖啡因分子的高效传感:DFT 研究","authors":"Farag M.A. Altalbawy , Shaker Al-Hasnaawei , Prakash Kanjariya , Anjan Kumar , Asha Rajiv , Debasish Shit , Helen Merina Albert , Sumit Pokhriyal","doi":"10.1016/j.comptc.2025.115234","DOIUrl":null,"url":null,"abstract":"<div><div>In this work, the structures and electronic properties of CuO and NiO doped MoSe<sub>2</sub> nanosheets are investigated using the density functional theory calculations. The structural stability of these metal oxide doped systems was verified using the binding energy analysis, and thus the CuO doped MoSe<sub>2</sub> nanosheets are selected for adsorption and sensing of caffeine molecules. The adsorption energies, density of states, charge density difference, work functions and band structures were examined for the adsorption systems. Caffeine molecules are initially positioned on the CuO clusters of the CuO-MoSe<sub>2</sub> nanosheets, and after the adsorption, the O and N atoms are strongly adsorbed to the CuO clusters. Based on band structure calculations, CuO and NiO doped MoSe<sub>2</sub> nanosheets exhibited semiconductor property and enhanced conductivity because of band gap reduction. These results provide theoretical basis, which is useful in optimizing and developing novel metal oxide doped MoSe<sub>2</sub> nanosheets as sensors for caffeine detection.</div></div>","PeriodicalId":284,"journal":{"name":"Computational and Theoretical Chemistry","volume":"1248 ","pages":"Article 115234"},"PeriodicalIF":3.0000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tuning the electronic and adsorption properties of MoSe2 nanosheets by CuO, NiO and pair CuO-NiO metal oxide doping for efficient sensing of caffeine molecule: A DFT study\",\"authors\":\"Farag M.A. Altalbawy , Shaker Al-Hasnaawei , Prakash Kanjariya , Anjan Kumar , Asha Rajiv , Debasish Shit , Helen Merina Albert , Sumit Pokhriyal\",\"doi\":\"10.1016/j.comptc.2025.115234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this work, the structures and electronic properties of CuO and NiO doped MoSe<sub>2</sub> nanosheets are investigated using the density functional theory calculations. The structural stability of these metal oxide doped systems was verified using the binding energy analysis, and thus the CuO doped MoSe<sub>2</sub> nanosheets are selected for adsorption and sensing of caffeine molecules. The adsorption energies, density of states, charge density difference, work functions and band structures were examined for the adsorption systems. Caffeine molecules are initially positioned on the CuO clusters of the CuO-MoSe<sub>2</sub> nanosheets, and after the adsorption, the O and N atoms are strongly adsorbed to the CuO clusters. Based on band structure calculations, CuO and NiO doped MoSe<sub>2</sub> nanosheets exhibited semiconductor property and enhanced conductivity because of band gap reduction. These results provide theoretical basis, which is useful in optimizing and developing novel metal oxide doped MoSe<sub>2</sub> nanosheets as sensors for caffeine detection.</div></div>\",\"PeriodicalId\":284,\"journal\":{\"name\":\"Computational and Theoretical Chemistry\",\"volume\":\"1248 \",\"pages\":\"Article 115234\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational and Theoretical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210271X25001707\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational and Theoretical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210271X25001707","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Tuning the electronic and adsorption properties of MoSe2 nanosheets by CuO, NiO and pair CuO-NiO metal oxide doping for efficient sensing of caffeine molecule: A DFT study
In this work, the structures and electronic properties of CuO and NiO doped MoSe2 nanosheets are investigated using the density functional theory calculations. The structural stability of these metal oxide doped systems was verified using the binding energy analysis, and thus the CuO doped MoSe2 nanosheets are selected for adsorption and sensing of caffeine molecules. The adsorption energies, density of states, charge density difference, work functions and band structures were examined for the adsorption systems. Caffeine molecules are initially positioned on the CuO clusters of the CuO-MoSe2 nanosheets, and after the adsorption, the O and N atoms are strongly adsorbed to the CuO clusters. Based on band structure calculations, CuO and NiO doped MoSe2 nanosheets exhibited semiconductor property and enhanced conductivity because of band gap reduction. These results provide theoretical basis, which is useful in optimizing and developing novel metal oxide doped MoSe2 nanosheets as sensors for caffeine detection.
期刊介绍:
Computational and Theoretical Chemistry publishes high quality, original reports of significance in computational and theoretical chemistry including those that deal with problems of structure, properties, energetics, weak interactions, reaction mechanisms, catalysis, and reaction rates involving atoms, molecules, clusters, surfaces, and bulk matter.