Issue 23, 2025, Issue in Progress

Core/shell molecularly imprinted nanoparticles: optimized synthesis and application in QCM-D biosensing

Abstract

Molecularly imprinted nanoparticles (MI-NPs) are synthetic receptors with high selectivity and stability, offering advantages for biosensing applications. In this study, we developed and optimized core/shell molecularly imprinted nanoparticles (CS-MI-NPs) tailored for quartz crystal microbalance with dissipation monitoring (QCM-D) sensors. The nanoparticles were synthesized through a controlled sol–gel process, achieving tunable sizes (22–63 nm) and high monomer conversion. Functionalization with amine and vinyl groups facilitated imprinting of a selective shell, enhancing the recognition capabilities of CS-MI-NPs. The optimized system demonstrated significantly improved binding performance, with a specific surface area increase of 260–270% and a target protein retention rate of 34–37%, compared to 6–12% in non-imprinted controls. Langmuir modeling confirmed high affinity and selective binding sites, while QCM-D measurements validated efficient immobilization, low nonspecific interactions, and a detection limit of 2.8 nM for streptavidin. Additionally, CS-MI-NPs selectively recognized tannins in complex mixtures, distinguishing between proanthocyanidins, ellagic, and gallic tannins, with detection levels comparable to biologically derived probes. These results highlight CS-MI-NPs as a versatile and high-performance platform for nanostructured biosensors, with potential applications in biomedical diagnostics, environmental monitoring, and food analysis.

Graphical abstract: Core/shell molecularly imprinted nanoparticles: optimized synthesis and application in QCM-D biosensing

Article information

Article type
Paper
Submitted
02 Apr 2025
Accepted
24 May 2025
First published
02 Jun 2025
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2025,15, 18310-18323

Core/shell molecularly imprinted nanoparticles: optimized synthesis and application in QCM-D biosensing

M. Gagliardi and M. Cecchini, RSC Adv., 2025, 15, 18310 DOI: 10.1039/D5RA02297E

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