Your browser doesn't support javascript.
loading
Using Diazotization Reaction to Develop Portable Liquid-Crystal-Based Sensors for Nitrite Detection.
Ho, Tsung Yang; Lan, Yi-Hsuan; Huang, Jhih-Wei; Chang, Jung-Jung; Chen, Chih-Hsin.
Afiliação
  • Ho TY; Department of Chemistry, Tamkang University, New Taipei City 25137, Taiwan.
  • Lan YH; Department of Chemistry, Tamkang University, New Taipei City 25137, Taiwan.
  • Huang JW; Department of Chemistry, Tamkang University, New Taipei City 25137, Taiwan.
  • Chang JJ; Department of Chemistry, Tamkang University, New Taipei City 25137, Taiwan.
  • Chen CH; Department of Chemistry, Tamkang University, New Taipei City 25137, Taiwan.
ACS Omega ; 5(20): 11809-11816, 2020 May 26.
Article em En | MEDLINE | ID: mdl-32478272
A liquid-crystal (LC)-based sensor for detecting nitrite in aqueous solutions was developed using a diazotization reaction as the sensing mechanism. First, tetradecyl 4-aminobenzoate (14CBA) was synthesized and doped into a nematic LC, i.e., 4-cyano-4'-pentylbiphenyl (5CB). When the LC mixture was cast on a glass substrate and then immersed into an aqueous solution without nitrite, the orientation of LC was planar and the LC image was bright. In the presence of nitrite, it reacted with alkylanilines to give corresponding diazonium ions with a positive charge, which aligned at the LC/aqueous interface to cause homeotropic orientation of LC. As a result, a bright-to-dark transition of the LC image was observed. The limit of detection (LOD) of this system for nitrite is 25 µM with high selectivity. In addition, this system can work in environmental water samples such as tap water and pond water. Finally, we demonstrated that the optical signals of LC can be measured and recorded using a built-in digital camera of a smartphone, suggesting the portability of this system for on-site applications.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article