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

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.

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Publication Details

Journal
Analytica Chimica Acta
Published
2026-01-30
DOI
https://doi.org/10.1016/j.aca.2026.345174
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
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article

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

Jonas Gruber, Jake McClements, Oliver Jamieson, Marloes Peeters et al.
Analytica Chimica Acta
Analytical chemistry methods development
article

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

Jonas Gruber, Jake McClements, Oliver Jamieson, Marloes Peeters, Amy Dann, CE Banks, T. Oliveira Abib, H. Snyder, J.A. Dawson, R.D. Crapnell, X. Liu, K. Novakovic, S. Seyedin
article en

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.

Analytica Chimica ActaVol. 1393
Manchester Metropolitan University (GB), Universidade de São Paulo (BR), University of Manchester (GB), Instituto de Ciências Farmacêuticas (BR), Medical Technologies (Czechia) (CZ), Newcastle University (GB)
Openalex Percentile: Top 71%
Analytical chemistry methods development
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