Your browser doesn't support javascript.
loading
A dual-recognition MIP-ECL sensor based on boric acid functional carbon dots for detection of dopamine.
Zhang, Tianxin; Long, Dan; Gu, Xiongwen; Yang, Minli.
  • Zhang T; College of Chemistry and Materials Science, Shanghai Normal University, Shanghai, 200234, China.
  • Long D; College of Chemistry and Materials Science, Shanghai Normal University, Shanghai, 200234, China.
  • Gu X; College of Chemistry and Materials Science, Shanghai Normal University, Shanghai, 200234, China.
  • Yang M; College of Chemistry and Materials Science, Shanghai Normal University, Shanghai, 200234, China. yml_nx@shnu.edu.cn.
Mikrochim Acta ; 189(10): 389, 2022 09 22.
Article en En | MEDLINE | ID: mdl-36136158
ABSTRACT
We report a molecularly imprinted polymer electrochemiluminescence (MIP-ECL) sensor with dual recognition effects on dopamine (DA). Boric-acid-functionalized carbon dots (B-CDs) with good ECL performance at - 2.0 V (vs. Ag/AgCl) were prepared and immobilized on a glassy carbon electrode (GCE). The MIP was then introduced via electropolymerization using o-phenylenediamine (OPD) as a functional monomer and DA as a template molecule to fabricate the MIP-ECL sensor. The cavities in the MIP after elution were used to capture the target molecular DA. The affinity of boric acid of B-CDs to the cis-diol of DA, as well as the special recognition of MIP, provides dual recognition effects on DA. The selective readsorption of DA onto the sensor leads to the ECL quenching of B-CDs. The quenching effect was used to detect DA from 1.0 × 10-9 to 1.0 × 10-5 mol·L-1 with a detection limit of 2.1 × 10-10 mol·L-1. The dual recognition caused the MIP-ECL sensor exhibiting excellent selectivity and sensitivity toward  DA. The sensor was successfully used to determine DA in real samples.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Impresión Molecular Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Impresión Molecular Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article