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Photoelectrochemical detection of ultra-trace fluorine ion using TiO2 nanorod arrays as a probe.
Su, Yongzhao; Chen, Duotian; Yang, Siyuan; Zhang, Shengsen; Liu, Yingju; Fang, Yueping; Zhang, Qiao; Peng, Feng.
Afiliação
  • Su Y; School of Chemistry and Chemical Engineering, South China University of Technology Guangzhou 510640 China.
  • Chen D; College of Materials and Energy, South China Agricultural University Guangzhou 510643 China Zhangss@scau.edu.cn.
  • Yang S; College of Materials and Energy, South China Agricultural University Guangzhou 510643 China Zhangss@scau.edu.cn.
  • Zhang S; College of Materials and Energy, South China Agricultural University Guangzhou 510643 China Zhangss@scau.edu.cn.
  • Liu Y; College of Materials and Energy, South China Agricultural University Guangzhou 510643 China Zhangss@scau.edu.cn.
  • Fang Y; College of Materials and Energy, South China Agricultural University Guangzhou 510643 China Zhangss@scau.edu.cn.
  • Zhang Q; School of Chemistry and Chemical Engineering, Guangzhou University Guangzhou 510006 China fpeng@gzhu.edu.cn.
  • Peng F; School of Chemistry and Chemical Engineering, Guangzhou University Guangzhou 510006 China fpeng@gzhu.edu.cn.
RSC Adv ; 9(46): 26712-26717, 2019 Aug 23.
Article em En | MEDLINE | ID: mdl-35528550
ABSTRACT
A photoelectrochemical (PEC) method based on the etching reaction of F ions on the surface of TiO2 nanorod arrays (TNRs) was proposed for the high sensitivity and selectivity detection of F ions. With the increase of F ion concentration, the surface etching reaction on TNR becomes more intense, resulting in the increased number of surface active sites, the reduction of electron transfer resistance, and the increase of photocurrent density. The prepared TNRs as a PEC probe exhibits a good linear relationship between photocurrent increment and the logarithm of F ion concentration in the range from 0.05 to 1000 nM with an ultra-trace detection limit of 0.03 nM for F ion detection.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article