Highly sensitive determination of l-glutamic acid in pig serum with an enzyme-free molecularly imprinted polymer on a carbon-nanotube modified electrode

Xin Yao Yu, Jun Yi He, Fei Tang, Peng Yu, Ling Wu*, Zhong Liang Xiao, Li Xian Sun, Zhong Cao*, Donghong Yu*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

1 Citation (Scopus)

Abstract

Through electrochemical polymerization using l-glutamic acid (l-Glu) as a template and 4,6-diaminoresorcinol as a functional monomer, an enzyme-free molecularly imprinted polymer (MIP) based l-Glu sensor with multi-walled carbon nanotubes (MWCNTs) decorated on a glassy carbon electrode (GCE), namely G-MIP/MWCNTs/GCE, was developed in this work. The reaction conditions were optimized as follows: electrochemical polymerization of 23 cycles, pH of 3.0, molar ratio of template/monomer of 1 : 4, volume ratio of elution reagents of acetonitrile/formic acid of 1 : 1, and elution time of 2 min. The prepared materials and molecularly imprinted polymer were characterized by using scanning electron microscopy (SEM) and transmission electron microscopy (TEM) as well as electrochemical methods. The electrochemical properties of different electrodes were investigated via differential pulse voltammetry (DPV), showing that the electrode of G-MIP/MWCNTs/GCE exhibited excellent catalytic oxidation activity towards l-Glu. A good linear relationship between peak-currents and l-Glu concentrations in a range from 1.00 × 10−8 to 1.00 × 10−5 mol L−1 was observed, with a detection limit of 5.13 × 10−9 mol L−1 (S/N = 3). The imprinted sensor possesses excellent selectivity, high sensitivity, and good stability, which have been successfully applied for the detection of l-Glu in pig serum samples with a recovery rate of 97.4-105.5%, being comparable to commercial high-performance liquid chromatography, demonstrating a simple, rapid, and accurate way for the determination of l-Glu in the fields of animal nutrition and biomedical engineering.

Original languageEnglish
JournalAnalytical Methods
Volume15
Pages (from-to)5589-5597
Number of pages9
ISSN1759-9660
DOIs
Publication statusPublished - 2 Nov 2023

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© 2023 The Royal Society of Chemistry.

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