Multiple-Criteria Decision-Making (MCDM) techniques to study the behavior of dendrimers using topological indices

PLoS One. 2023 Nov 30;18(11):e0294515. doi: 10.1371/journal.pone.0294515. eCollection 2023.

Abstract

Topological indices provide a mathematical language for capturing molecular structure, symmetry, and predicting properties. Dendrimers are microscopic bilaterally symmetrical molecules with a well-defined homogeneous nanoparticles structure, often consisting of a symmetric center, inner shell, and outer shell. In this work, first we compute some degree-based topological indices of Porphyrin (DnPn),Poly (Propyl) Ether Imine(PETIM), Zinc porphyrin (DPZn), and Polyamidoamine (PAMAM) dendrimers. Then, we use multi-criteria decision making (MCDM) techniques to establish the weighted evaluation of dendrimer classes based on certain topological indices. For weighted analysis we correlate the properties of benzene derivatives with topological invariants. Finally, based on the multi-criteria decision making techniques namely TOPSIS, SAW and MOORA method, we have ranked the dendrimer structures based on their properties.

MeSH terms

  • Dendrimers* / chemistry
  • Ethers
  • Imines
  • Molecular Structure
  • Porphyrins* / chemistry

Substances

  • Dendrimers
  • Imines
  • Porphyrins
  • Ethers

Grants and funding

This research project is supported by the Natural Science Foundation of Anhui Province Higher School (KJ2021A1155, 2022AH051859, 2022AH051864, 2023AH051810, 2023AH051807), China and Researchers Supporting Project Number (RSP2023R440), King Saud University, Riyadh, Saudi Arabia. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.