Synthesis of Cellulose based Nanocomposite for the Potential Application in Electrochemical Sensor

Abstract

High surface area, structural flexibility, and the ability to selectively detect metal ions have all contributed to the rise of metal-organic frameworks (MOFs) as a class of useful materials for sensing applications. With the goal of detecting metal ions, this thesis explores the synthesis, characterization, and use of a composite material made of Cu-CA MOF, polyaniline (PANI), and expanded graphite (EG). The fundamental goal of this research is to investigate how incorporating Cu-CA MOF, PANI, and EG into a composite material can increase its sensitivity to metal ions. The Cu-CA MOF serves as a very porous support material, allowing the PANI and EG to be distributed throughout the composite. PANI, a conductive polymer, adds electrical conductivity and more sites for attaching metal ions, while EG, a conductive network, boosts electron transport and sensor performance in general. The synthesis of the Cu-CA MOF/PANI/EG composite material is a multi-step process that begins with the fabrication of Cu-CA MOF and continues with the integration of PANI and EG. X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and electrochemical analysis are all used to characterize the resultant composite. By exposing the Cu-CA MOF/PANI/EG composite to silver metal ions, we can gauge its sensing performance. The composite material and metal ions interact, leading to changes in electrical conductivity or other quantifiable signals, which are used as the sensing mechanism. The composite's selectivity, sensitivity, and response time are studied for a variety of metal ions and compared to those of established sensing materials. The findings show that the Cu-CA MOF/PANI/EG composite has great sensing capacities for silver metal ions, with good sensitivity and selectivity. The composite material has shown encouraging results in detecting silver metal ions. We also test the composite's durability, reusability, and performance in complex sample matrices to see if it has any practical uses.structural flexibility