Electrochemical detection of serotonin using polyethylenedioxythiophene and core-shell molecularly imprinted polymer nanoparticles

Author

Introna, Barbara ; Mazzotta, Elisabetta ; Turco, Antonio ; Malitesta, Cosimino ; Mohammadi, Reza ; Ramezany, Farid ; Sellergren, Borje

Author_Institution

Lab. di Chim. Analitica, Univ. del Salento, Lecce, Italy

fYear

2014

fDate

2-5 Nov. 2014

Firstpage

309

Lastpage

312

Abstract

Preliminary results on detection of neurotransmitter serotonin using an electrochemical sensor, based on a composite made of core-shell molecularly imprinted polymer (MIP) nanoparticles and polyethylenedioxythiophene (PEDOT) film are described. MIP is grown on pre-formed SiO₂ nanobeads by surface imprinting via reversible addition-fragmentation chain-transfer (RAFT) polymerization. The core-shell Ser-MIP@SiO₂ nanobeads are integrated onto electrode surfaces to develop an electrochemical sensors for analyte serotonin. The entrapment of core-shell Ser-MIP@SiO₂ nanobeads by the electropolymerization of PEDOT in an upside-down electrochemical cell is performed and preliminary results in sensing application are presented.

Keywords

electrochemical electrodes; electrochemical sensors; filled polymers; nanoparticles; nanosensors; organic compounds; polymerisation; thin film sensors; MIP; PEDOT film; RAFT polymerization; analyte serotonin; composite; core-shell molecularly imprinted polymer nanoparticle; electrochemical detection; electrochemical sensor; electrode surface; electropolymerization; nanobead; nanoparticle; neurotransmitter serotonin detection; polyethylenedioxythiophene film; reversible addition-fragmentation chain-transfer polymerization; surface imprinting; upside-down electrochemical cell; Chemistry; Electrodes; Films; Interference; Nanobioscience; Nanoparticles; Polymers; core shell nanoparticles; electrochemical sensors; molecularly imprinted polymers; polyethylenedioxythiophene (PEDOT); serotonin;

fLanguage

English

Publisher

ieee

Conference_Titel

SENSORS, 2014 IEEE

Conference_Location

Valencia

Type

conf

DOI

10.1109/ICSENS.2014.6984995

Filename

6984995