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https://doi.org/10.22178/pos.96-7

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Molecularly Imprinted Polymer-Based Electrochemical Sensing in Protein Detection

[journal article]

Rodrigues, Pedro da Fonseca Soares
Tierno, Paulo Fernando Guimarães Morando Marzocchi
Carvalho, Gustavo Augusto Couto
Guimarães Santos, João Marcos Moreira

Abstract

Protein detection is paramount across various scientific, clinical, and industrial domains. Accurate and sensitive detection of proteins is pivotal for understanding biological processes, diagnosing diseases, drug development, environmental monitoring, and ensuring food safety. Traditional protein d... view more

Protein detection is paramount across various scientific, clinical, and industrial domains. Accurate and sensitive detection of proteins is pivotal for understanding biological processes, diagnosing diseases, drug development, environmental monitoring, and ensuring food safety. Traditional protein detection methods encounter sensitivity, specificity, and ease of use challenges. Molecularly imprinted polymers (MIPs), with their tailored molecular recognition sites, offer a novel approach to address these limitations. When combined with electrochemical techniques, MIP-based electrochemical methods have emerged as a revolutionary technology, showcasing enhanced sensitivity and selectivity. This article provides a comprehensive overview of MIP-based electrochemical methods for protein detection, including the principles, engineering aspects, advantages, and potential applications. The aim is to elucidate the potential of this cutting-edge technology in reshaping protein detection and its promising role in advancing biosensing technologies.... view less

Classification
Medicine, Social Medicine

Free Keywords
proteins; biomolecular recognition; analytical methods; sensitivity; specificity

Document language
English

Publication Year
2023

Page/Pages
p. 4001-4018

Journal
Path of Science, 9 (2023) 9

ISSN
2413-9009

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.