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Density functional theory study on adsorption of L-cysteine by Y, Zr, Nb, Mo-doped graphenes.
Luo, Huijuan; Zhang, Lu; Gong, Zhijun; Wu, Wenfei; Xu, Shuang; Zhang, Kai; Li, Hejun.
Affiliation
  • Luo H; School of energy and environment, Inner Mongolia University of Sncience & Technology, Inner Mongolia 014010, People's Republic of China. Key laboratory of efficient and clean combustion, Inner Mongolia 014010, People's Republic of China. School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, People's Republic of China.
Nanotechnology ; 31(40): 405702, 2020 Oct 02.
Article de En | MEDLINE | ID: mdl-32408283
ABSTRACT
The adsorption properties of l-cysteine (L-cys) on [Kr] 4d1-4 (Y-Mo) doped graphenes with single and double vacancies are studied using density functional theory calculations with dispersion correction. The results showed that Y, Zr, Nb and Mo doped single-vacancy and double-vacancy graphenes show chemical adsorption characteristics towards L-cys. For the respective S, O and N-end adsorption, the binding strengths of L-cys on XSVs decrease from Y to Nb, and then increase. The binding strengths of L-cys on XDVs have no regular trend. Nb-doped graphene exhibits the most stable adsorption characteristics in the [Kr] 4d1-4 element series, which is independent of the vacancy type. Zr-doped single and double vacancy graphene sensors have higher sensitivity than Y, Nb, Mo.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Nanotechnology Année: 2020 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Nanotechnology Année: 2020 Type de document: Article