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Garnering sensitivity: A horseradish peroxidase and MoS2@black phosphorene based electrochemical biosensor for
Lisi Wang1, Xiaoqing Li2, Baoli Wang3
1Hainan International Joint Research Center of Marine Advanced Photoelectric Functional Materials, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China; Hainan Engineering Research Center of Tropical Ocean Advanced Optoelectronic Functional Materials, Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, Haikou 571158, China.
Abstract:
Glyphosate (GLY) is one of the most widely used herbicides, and the presence of its residues in food samples poses a threat to human health. Developing a monitoring system could help address food safety concerns. This study presents an innovative electrochemical sensing platform to detect GLY, which employs molybdenum disulfide (MoS2) and black phosphorene (BP) nanocomposites (MoS2@BP) with horseradish peroxidase (HRP) for the working electrode modification. The MoS2@BP nanocomposite is synthesized using a hydrothermal method, and its characteristics are investigated through different methods including scanning electron microscopy, X-ray photoelectron spectroscopy, and X-ray diffraction methods. The presence of BP enhances electrical conductivity and increases specific surface area, while MoS2 improves the electrochemical properties of the composites and provides a protective effect on BP. The modification of MoS₂@BP on the electrode surface helps to accelerate the direct electron transfer of HRP with enhanced electrochemical responses. Furthermore, the incorporation of amino acid residues from HRP significantly enhances the recognition of GLY, thereby improving the selectivity and sensitivity of this electrochemical sensor. The sensor operates effectively within a linear concentration range from 0.118 nmol/L to 20.65 nmol/L, with a low detection limit of 0.0393 nmol/L (3σ). Furthermore, the sensor is successfully applied to detect GLY in real cornmeal samples with satisfactory results, demonstrating its potential applications in food safety monitoring.

