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Updated: Aug 11, 2026

Bacterial Detection & Identification Using Electrochemical Sensors
Published on: April 23, 2013
An electrochemical sensor for bacterial lipopolysaccharide detection based on dual functional Cu2+-modified
Zhi Li1, Ge Dai1, Feifei Luo1
1School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, People's Republic of China.
Abstract:
An electrochemical sensor based on dual functional Cu2+-modified metal-organic framework nanoparticles (Cu2+-NMOFs) for sensitive detection of bacterial lipopolysaccharide (LPS) is reported. Cu2+-NMOFs were prepared and characterized by SEM, EDS, XRD, and XPS. In this LPS sensor, LPS firstly immobilized in gold nanoparticles/reduced graphene oxide by C18 alkane thiol chains, since the LPS can interact with the C18 alkyl chains by strong intermolecular interactions. Then the Cu2+-NMOFs were captured by the anionic groups of the carbohydrate portions of LPS molecules and played a vital role of recognition unit. More importantly, the Cu2+-NMOFs can catalyze dopamine oxidation to generate aminochrome, resulting in a strong electrochemical oxidation signal. The electrochemical sensor based on dual functional Cu2+-NMOFs was investigated by differential pulse voltammetry, and the stripping peak currents of dopamine oxidized to aminochrome were used to monitor the level of LPS. The developed method demonstrated a wide linear range from 0.0015 to 750 ng/mL with a limit of detection of 6.1 × 10-4 ng/mL. The fabricated sensor was applied to detect LPS in mouse blood serum and satisfactory results were achieved. Compared to other detection schemes by using the LPS-binding proteins, peptides, and aptamer, the proposed LPS determination based on the catalytic peroxidase-mimicking NMOFs has some advantages such as good reproducibility, low detection limit, and excellent specificity. Graphical abstract An electrochemical sensor based on dual functional Cu2+-modified metal-organic framework was developed for detection of bacterial lipopolysaccharide. This sensor combined a metal ion-based target recognition and electrocatalytic detection, and provided a high sensitive strategy for detection of lipopolysaccharide.

