Label-free electrochemical levodopa detection via dummy imprinted polymers for advanced disease monitoring

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Authors: Oliver Jamieson, Amy Dann, X. Liu, T. Oliveira Abib, K. Novakovic, Jake McClements, S. Seyedin, Jonas Gruber, R.D. Crapnell, H. Snyder, CE Banks, J.A. Dawson
+1 more Marloes Peeters
Cited by: 2
References: 43

Abstract

Current estimates see 25.2 million people living with from Parkinson's disease (PD) worldwide by 2050, with no cure close to being available. With therapeutic LDp (LDp) use being the mainstay treatment for a vast proportion of individuals with PD, an effective protocol for managing medication in real-time, is not only essential but long overdue. Presented hereafter is a highly reproducible polymeric electrochemical detection platform with an economically viable production process that can specifically and selectively detect LDp at the relevant physiological range. Computational modelling of target-monomer interactions is employed to direct monomer selection and polymer synthesis. Testing the sensor platform within a dynamic range (5-50 μM) of LDp and its metabolite Dp (Dp) in a range of different sample media affords a 42% higher response of current change upon binding to LDp compared to Dp despite high structural similarity between the compounds. Furthermore, the sensor shows no significant difference when tested in different sample media, allowing this electrochemical sensor to operate across a range of different sample sources, further enhancing its adaptability and applicability in an ever-changing landscape of medical technology.

Fields of Study & Subjects

Analytical chemistry methods development Electrochemical sensors and biosensors Parkinson's Disease Mechanisms and Treatments

Publication details

Journal / source
Analytica Chimica Acta
Publisher
Elsevier BV
Volume
1393
Pages
345174–345174
Publication date
30 January 2026
Language
EN