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Journal of Polymer & Composites Review Article Special issue

Graph Theoretic Analysis of Cyclodextrin Polymers

  1. N. Kumaran Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai
  2. J. Senbagamalar Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai
  3. S. Gayathri Department of Mathematics, Aarupadai veedu Institute of Technology, Vinayaka Mission & Research Foundation, Paiyanoor
  4. A. Vijayalakshmi Department of Mathematics, Grt Institute of Engineering and Technology, Tiruttani

Abstract

Topological indicators in chemical graph theory are essential tools in cheminformatics, providing valuable insights into molecular structure and properties to make more accurate predictions about the behavior and efficacy of novel compounds in drug design. The macro molecules are correlated with certain derivatives. The derivatives are growing structures which depends on the cyclic structures. The Cyclodextrin is one of the cyclic structures which depends on the carbon atoms. The polymer derivatives are growth of network which raising the carbon atoms and connection between the bonds. The Cyclodexstrin is one of the polymer structure which was gradually increase th carbon atoms. Cyclodextrin derivatives represent in polymer chemistry, as they combine the unique inclusion properties of cyclodextrins with the tunable characteristics of polymers. These derivatives can form polymeric networks through various mechanisms, including covalent bonding, non-covalent interactions, and supramolecular assembly. Incorporating CDs into polymers significantly enhances solubility, stability, and binding selectivity. This research investigates the relationship between various physicochemical properties of cyclodextrin derivatives for complexity, polar surface area, melting point, and boiling point used topological descriptors for the first and second zagreb indices. The Cyclodextrin derivatives obtained the topological indices and correlate with their physico chemical properties The linear regression models were analysed.

Keywords

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