FET based sensors for biomedical applications
MEMS and NEMS based Devices for Sensor and Energy Applications
Electrochemical sensor/biosensors using Nanomaterials
Nanomaterials for Cancer applications
Wearable Electronic devices using nanomaterials
Green antibacterial personal care products G. Padmalaya, I. Nandhini, G. Annalakshmi, Hussein M. Elmehdi, Krithikadevi Ramachandran Green Antibacterial Materials Eco Friendly Synthesis Performance and Applications, 2025
Electrochemical sensor for urea determination using structural c-multiwall carbon nanotubes decorated CuO hybrid nanocomposite: Application in rice water samples Padmalaya G, B. Senthil Rathi, P. Senthil Kumar, Gayathri Rangasamy Desalination and Water Treatment, 2024 The modified electrochemical sensor using copper oxide nanoparticles (CuO NPs) modified Glassy Carbon Electrode (GCE) (CuO NPs/GCE) and Copper Oxide/c-Multiwall carbon nanotube nanocomposite modified GCE (CuO/c-MWCNT/GCE) are used for determination of urea. The crystallite size of CuO NPs and CuO/c-MWCNT structured nanocomposite is 30.06 nm and 57.94 nm respectively. Due to the presence of oxygen functionalities on the surface of CuO NPs found to exhibit decreasing crystallite size and aggregated form of CuO/c-MWCNT nanocomposite in which presence of CNT on surface made the impact towards increased crystallite size. In this research work, the electrochemical sensing of urea was performed using squarewave voltammetry (SWV) and cyclic voltammetry (CV). The urea detection was examined using SWV signals at potential range −0.4 to + 0.4 V (vs. Ag/AgCl) in rice water samples using CuO NPs/GCE and CuO/c-MWCNT/GCE electrode system. The different urea concentrations were analyzed in wide linear ranges of 2 mM–8 mM with limit of detection(LOD) 0.26 mM/L and 0.16 mM/L respectively. The indepth discussion about developed electrodes towards the urea detection seems to exhibit its own characteristics that are not explored previously. Thus CuO/GCE and CuO/c-MWCNT/GCE offerings on structural sensitivity are analyzed for repeatability in real-time analysis using rice water samples.
Structural Electrochemical Characteristics of GO, ZnO and GO/ZnO Nanocomposite for Detecting Sulfamethoxazole in Tablet Padmalaya G, Athmanesan T, Senthilkumar P 2024 3rd International Conference on Electrical Electronics Information and Communication Technologies Iceeict 2024, 2024 In this research work, a GO-ZnO nanocomposite-based electrochemical sensor was used as a modified electrode for enhanced electrochemical behavior. The electrochemical sensor characteristics were analyzed using cyclic and impedance voltammetry. Cyclic voltammetry confirmed the electrochemical behavior of the modified electrode. The cyclic voltammograms for GO, ZnO and GO-ZnO nanocomposite were investigated, and observed that peaks are highly independent on behavioral potential peaks. Their physio-chemical characteristics were analyzed using X-ray diffraction (XRD) analysis and HR-scanning electron Microscopy. On examining the electrochemical characteristics of obtained nanomaterials found to exhibit its behavior towards electrochemical sensor applications for detecting sulfamethoxazole.
Green Carbon Materials: Synthesis from Waste Biomass, Properties, and Environmental Applications P. Senthil Kumar, G. Padmalaya, N. Elavarasan ACS Symposium Series, 2023 Green carbon materials (GCMs) formed the subject towards intense interest that fascinated much attention in the race to develop the next generation of portable, low-power sensors due to their unique mechanical, optical, and electrical capabilities. Green carbon materials (GCM) derived from biomass found to be thriving research field which exploring novel structures, diverse synthesis and versatile applications. This chapter’s focus is on GCMs, particularly the synthesis techniques that combine them with different kinds of nanomaterials to create nanocomposites, which then combine with additional qualities to create innovative materials and environmental applications.
Synthesis techniques of nanostructured materials and its image analysis for particle size distribution Advances in Nano Instrumentation Systems and Computational Techniques, 2019
