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Updated: Jul 10, 2026

Hollow Microneedle-based Sensor for Multiplexed Transdermal Electrochemical Sensing
Published on: June 1, 2012
Development of a molecularly imprinted electrochemical sensor for the rapid detection of lactate
Backiyalakshmi Gnanasekaran1, Snekhalatha Umapathy1
1Department of Biomedical Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Abstract:
BackgroundLactate is an important biomarker for monitoring metabolic conditions and is widely used as an indicator in clinical diagnostics. It plays a critical role in the early diagnosis and monitoring of neonatal sepsis, where elevated lactate levels indicate tissue hypoxia and metabolic imbalance. Conventional detection methods often involve enzymatic systems, which may suffer from stability and reproducibility issues.ObjectiveThis study aims to develop a reagent-free, non-enzymatic molecularly imprinted electrochemical sensor for the selective detection of lactate.MethodsA screen-printed electrode (SPE) was modified with reduced graphene oxide (RGO) and gold nanoparticles (AuNP) via electrodeposition. A molecularly imprinted polymer (MIP) layer was fabricated through electropolymerization of 3-aminophenylboronic acid (3-APBA) in the presence of lactic acid as the template. The stepwise fabrication, including template removal and rebinding, was characterized using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). Sensor performance was evaluated using differential pulse voltammetry (DPV).ResultsThe sensor exhibited a linear response to lactate over the range of 0.05 µM to 6.0 mM, with a limit of detection (LOD) of 0.361 µM. The MIP sensor demonstrated high selectivity against common interfering species, including glucose, urea, ascorbic acid, and acetic acid, along with good reproducibility and stability.ConclusionThe developed reagent-free, non-enzymatic MIP-based sensor provides a simple and effective platform for selective lactate detection, with potential applicability to clinical monitoring, following further validation on real samples.
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