Work

Rational design of peptides for epitope imprinting of polynorepinephrine: A plasmonic and machine learning integrated approach

Year: 2025

Type: article

Abstract: Molecularly Imprinted Polynorepinephrine (MIPNE) has demonstrated superior performance for mimetic receptors production, facilitating their integration into techniques like Surface Plasmon Resonance (SPR), Biomimetic Enzyme-Linked ImmunoSorbent Assay (BELISA), and Bio-Layer Interferometry (BLI). Here we developed a multiplexed Localized Surface Plasmon Resonance (LSPR) assay to face the selection of appropriate epitope sequences for protein imprinting, a critical factor in optimizing MIPNE efficiency. The plasmonic properties of gold nanoparticles formed on MIPNE were used to classify epitopes as functional ( F ), uncertain ( U ), or dysfunctional ( D ). Feature extraction and machine learning analysis identified key physico-chemical descriptors influencing imprinting efficiency. Subsequent SPR testing confirmed the correlation between epitope selection and receptor performance. This study provides the first systematic approach for epitope selection in MIPNE, paving the way for their improved design and application in bioanalytics and biosensing.

Source: Biosensors and Bioelectronics X

DOI: 10.1016/j.biosx.2025.100638

Authors: Davide Sestaioni, Giulia Ciacci, Andrea Barucci, Pasquale Palladino, Simona Scarano

Institutions: University of Florence, Nello Carrara Institute of Applied Physics, National Research Council

Language: English

Topic: Analytical chemistry methods development

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,490