Issue 10, 2024

Metal-assisted core–shell plasmonic nanoparticles for small molecule biothiol analysis and enantioselective recognition

Abstract

Cysteine (Cys) enantiomorphs, important small-molecule biothiols, participate in various antioxidative, flavoring, and poison-removing processes in the food industry. Current cysteine enantiomorph analysis methods require effective strategies for distinguishing them due to their similar structures and reactivity. Herein, we present a metal ion-assisted enantiomorph-selective surface-enhanced Raman scattering (SERS) biosensor based on an amphiphilic polymer matrix (APM), which can promote cysteine enantiomorph (L/D-Cys) identification. The highly selective molecular orientation is perhaps caused by the intermolecular hydrogen bonding with chiral isomers (metal centers). The experimental results show that the SERS biosensor has a sensitivity-distincting factor toward L-Cys and D-Cys. The linear range is from 1 mmol L−1 to 1 nmol L−1, along with a low limit of detection of 0.77 pmol L−1. Moreover, the fabricated Cu-APM biosensor exhibits remarkable stability and high repeatability, with an RSD of 3.7%. Real food cysteine enantiomorph detection was performed with L-Cys-containing samples of onion, cauliflower, garlic, and apple, and D-Cys-containing samples of vinegar, black garlic, cheese, and beer. The results show that the Cu-APM biosensor can be utilized as a powerful tool for real-time determination of Cys enantiomorphs in different food samples. Thus, the metal-ion-assisted enantiomorph-selective SERS biosensor has potential as an adaptable tool for enantiomorph detection and food sample analysis.

Graphical abstract: Metal-assisted core–shell plasmonic nanoparticles for small molecule biothiol analysis and enantioselective recognition

Supplementary files

Article information

Article type
Paper
Submitted
25 Nov 2023
Accepted
26 Jan 2024
First published
15 Feb 2024

Nanoscale, 2024,16, 5232-5241

Metal-assisted core–shell plasmonic nanoparticles for small molecule biothiol analysis and enantioselective recognition

M. Zeng, L. Chen, X. Hou, J. Jin, Q. Yao, T. Ye, Z. Guo, X. Chen and X. Chen, Nanoscale, 2024, 16, 5232 DOI: 10.1039/D3NR05984G

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