Your browser doesn't support javascript.
loading
A responsive photonic crystal film sensor for the ultrasensitive detection of uranyl ions.
Chen, Qianshan; Wang, Changping; Wang, Shihong; Zhou, Jun; Wu, Zhaoyang.
Afiliação
  • Chen Q; State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China. zywu@hnu.edu.cn.
Analyst ; 145(16): 5624-5630, 2020 Aug 21.
Article em En | MEDLINE | ID: mdl-32638707
ABSTRACT
As an effective nuclear energy resource, uranium plays an important role in industry and energy but the wastes of uranium also cause radioactive contamination, which is harmful to the environment and the human body. Herein, a responsive photonic crystal (PC) film sensor for the ultrasensitive and label-free detection of uranyl ions (UO22+) has been proposed, which is easy to construct and does not need to be combined with a hydrogel. The PC film is not pH-sensitive because it is obtained by the self-assembly of methyl methacrylate-acrylonitrile co-polymeric nanospheres (PMMA-AN). These nanospheres were modified with amidoxime groups, which have a good coordination ability with UO22+. The bindings between nanospheres and UO22+ change the refractive index and disturb the face-centered cubic structure of the film, which leads to a decrease in the diffraction peak intensity of the PC film. The sensor works in the concentration range of 10 pM to 100 µM for UO22+ determination and the decreased intensities of the diffraction peaks are linearly correlated with the logarithm of UO22+ concentration in the range from 1 nM to 100 µM. Moreover, the sensor shows good selectivity for UO22+ and can also perform the determination of UO22+ in a real sample. The responsive PC film sensor shows great potential in the label-free and ultrasensitive detection of UO22+.

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