Rapid electrochemical detection of levodopa using polyaniline-modified screen-printed electrodes for the improved management of Parkinson's disease

Henrique K. Noguchi, Sarbjeet Kaur, Luiza M. Krettli, Pankaj Singla, Jake McClements, Helena Snyder, Robert D. Crapnell, Craig E. Banks, Katarina Novakovic, Inderpreet Kaur, Jonas Gruber, James A. Dawson, Marloes Peeters*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A portable test to rapidly determine levels of levodopa, the drug used to treat Parkinson's disease, can improve clinical management of the disease. In this study, screen-printed electrodes (SPEs) were modified with polymers to facilitate the electrochemical detection of levodopa. Cyclic voltammetry was used to deposit a thin layer of polyaniline on the electrode surface. Scanning electron microscopy revealed high surface coverage, which did not impact the electrode's conductivity. Differential pulse voltammetry measurements with the polyaniline-modified electrodes enabled the measurement of levodopa at physiologically relevant concentrations with discrimination between a common interferent (ascorbic acid) and a structurally similar compound (L-tyrosine). However, the use of the polymer layer did not permit differentiation between levodopa and dopamine; the only difference in these molecules is that levodopa has an amino acid moiety whereas dopamine has a free amine group. Density functional theory calculations demonstrated that aniline formed a hydrogen bond between the amino group of the monomer and the meta-hydroxyl group, which is present in both levodopa and dopamine, with similar binding energies (−53.36 vs −50.08 kJ mol−1). Thus, the polymer-functionalised SPEs are a valuable tool to measure compounds important in Parkinson's disease, but further refinement is needed to achieve selective detection.

Original languageEnglish
Article number100052
JournalPhysics in Medicine
Volume14
DOIs
Publication statusPublished - Dec 2022

Keywords

  • Biosensors
  • Electrochemical testing
  • Levodopa
  • Parkinson's disease
  • Polymer chemistry
  • Screen-printed electrodes

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