Abstract
The primary aim of this study is to synthesize and characterize Fe₃O₄ nanoparticles and silver nanoparticles (AgNP’s) for their potential application in biomedical sensing and drug delivery systems. Specifically, Fe₃O₄ nanoparticles are chosen for their known magnetic properties, biocompatibility, and enzyme-mimetic activity, making them suitable for non-enzymatic glucose bio sensing and targeted biomedical applications. Silver nanoparticles are selected due to their high electrical conductivity, catalytic activity, and well-documented antimicrobial and drug delivery capabilities, making them ideal for loading and releasing therapeutic agents such as acetaminophen for joint pain management. AgNP’s were made by a simple chemical reduction process, whereas Fe3O4 nanoparticles were created by co-precipitation. The Precursor material for the synthesis of silver nanoparticles (AgNP’s) is silver nitrate (AgNO3), which serves as the metal salt precursor in the process. Aniline acts as the reducing agent in the synthesis process. CTAB is used as a stabilizer for the nanoparticles. SEM and X-ray diffraction (XRD) were used to investigate the structural and morphological characteristics of the nanoparticles. The Fe3O4 nanoparticles have an uneven, non-uniform grain size and a cubic spinel shape. Additionally, the rotational and vibrational modes of Fe3O4 nanoparticles were investigated using Fourier-transform infrared spectroscopy (FTIR). The effectiveness of the nanoparticles in glucose sensing was confirmed by electrochemical measurement, which showed a linear response to rising glucose concentrations. The drug release efficiency of acetaminophen-loaded AgNP’s was evaluated using an open-ended tube method, achieving 76.23% in vitro drug release efficiency after 24 hours. These findings suggest that Fe3O4 and AgNP’s hold significant potential for applications in glucose biosensing and joint pain management.
Keywords: Biomaterials; Bioelectrocatalysis; Sol-gel preparation; Drug Delivery Systems; Antimicrobial Activity; Joint pain formulation; electrochemical sensors & Glucose detection
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