An arginine chiral sensor based on walnut-like molecularly imprinted polymers

Abstract

Enantioselective discrimination of chiral amino acids is critically important across biomedicine, pharmacology, and food science, given the distinct biological roles of D- and L-enantiomers. In this study, a novel chiral sensor based on walnut-shaped molecularly imprinted polymers (w-MIPs) was conducted for the highly sensitive and selective recognition of D- and L-arginine (Arg). The unique core-shell w-MIPs architecture, containing targeted binding sites, was synthesized via tailored precipitation polymerization and characterized using transmission electron microscopy (TEM), atomic force microscopy (AFM), and Fourier transform infrared spectroscopy (FT-IR). The sensing mechanism for Arg detection involves two consecutive steps. Firstly, Arg molecules diffuse to specific w-MIPs recognition sites are preferentially captured by the specific w-MIPs recognition sites. Subsequently, the Arg molecules captured on the electrode surface underwent oxidation. Electrochemical characterization demonstrated the exceptional performance of the chiral sensor, exhibiting a broad linear range of 0.005-5000 nM and ultra-low detection limits (1.34 pM for L-Arg; 1.20 pM for D-Arg). Importantly, the sensor exhibits high binding affinity for L-Arg, enabling effective chiral discrimination. This capability was validated by accurately determining L-Arg levels in pig serum (recovery: 95.0-103.0%), with results showing excellent agreement with HPLC analysis. This work establishes w-MIPs as a powerful platform for chiral sensing, offering significant potential for applications in drug monitoring, clinical diagnostics, and biochemical analysis.

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Article information

Article type
Paper
Submitted
11 Apr 2025
Accepted
04 Aug 2025
First published
05 Aug 2025

Anal. Methods, 2025, Accepted Manuscript

An arginine chiral sensor based on walnut-like molecularly imprinted polymers

Y. Liu, X. Yuan, S. Luo, L. Huang, Y. Xin, S. Chen, R. Liu, L. Wu, D. Li and Z. Cao, Anal. Methods, 2025, Accepted Manuscript , DOI: 10.1039/D5AY00605H

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