Density functional theory study on adsorption of L-cysteine by Y, Zr, Nb, Mo-doped graphenes

Huijuan Luo, Lu Zhang, Zhijun Gong, Wenfei Wu, Shuang Xu, Kai Zhang, Hejun Li

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5 Scopus citations

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.

Original languageEnglish
Article number405702
JournalNanotechnology
Volume31
Issue number40
DOIs
StatePublished - 2 Oct 2020

Keywords

  • adsorption
  • cysteine
  • density functional theory calculation
  • doping
  • grapheme

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