Abstract
This research uses computational analytical tools to study the impact of nano-dopants on the characteristics of liquid crystals. The main focus of the study is on the conformation analysis and degree of interaction between liquid crystal materials and nano-dopants. FTIR, UV visible spectroscopy, and thermal microscopic techniques are among the spectroscopic methods employed to analyze the information. Furthermore, computationally driven approaches are used to gain a deeper understanding of how nano-dopants influence the characteristics of materials. The molecular interactions between the various functional groups of pure and nanocomposite materials can be investigated by utilizing the wavelet transform on FTIR spectrum data. Additionally, the presence and influence of nano-dopants on liquid crystals are investigated through polarized optical microscopy (POM) and correlation studies of optical texture analysis with UV visible spectroscopy. Here, p, n-alkoxybenzoic acid (nOBA, where n = 7,9) doped with magnetic nanoparticles (Fe3O4) of size 20nm is considered for investigation. The findings from this study show the successful utilization of computational methods to analyze the effect of nano-dopants on the characteristics of liquid crystals and their potential use in the development of biosensor devices.
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