https://doi.org/10.1140/epjp/s13360-022-02629-3
Regular Article
On physical analysis of topological indices via curve fitting for natural polymer of cellulose network
1
School of Computer Science, Chengdu University, Chengdu, China
2
Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan
3
Department of Applied Science, Faculty of Applied College, Majmaah University, 15362, Majmaah, Saudi Arabia
Received:
18
February
2022
Accepted:
21
March
2022
Published online:
31
March
2022
Plant materials are processed in a variety of ways to produce biologically active compounds. Cellulose (natural polymer) has the ability to deliver physiologically active compounds to organ targets that have been extracted by 
. Researchers have recently become interested in polymers that can transport biologically active compounds into human bodies. For appropriately selecting bearers of biologically active chemicals, knowledge of the thermodynamic properties of cellulose is required. In QSPR/QSAR modelling, which provides the theoretical and optimum foundation for costly experimental drug discovery, molecular descriptors are extremely important. In this article, we investigated a natural polymer of cellulose network which has interesting pharmacological applications, outstanding characteristics, and a novel molecular structure. We plan to look into and compute a variety of closed-form formulas of various K-Banhatti indices along with their respective K-Banhatti entropies and the heat of formation. The numerical and graphical characterization of computed results was combined with curve fitting between calculated thermodynamic properties and topological indices. This presentation will provide a complete description of potentially important thermodynamic features that could be useful in modifying the structure of natural polymer of cellulose network 
.
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2022
