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On physical analysis of topological indices via curve fitting for natural polymer of cellulose network

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 [Formula: see text] . Researchers have recently become interested in polym...

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Autores principales: Huang, Rongbing, Siddiqui, Muhammad Kamran, Manzoor, Shazia, Khalid, Sadia, Almotairi, Sultan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967973/
https://www.ncbi.nlm.nih.gov/pubmed/35378888
http://dx.doi.org/10.1140/epjp/s13360-022-02629-3
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author Huang, Rongbing
Siddiqui, Muhammad Kamran
Manzoor, Shazia
Khalid, Sadia
Almotairi, Sultan
author_facet Huang, Rongbing
Siddiqui, Muhammad Kamran
Manzoor, Shazia
Khalid, Sadia
Almotairi, Sultan
author_sort Huang, Rongbing
collection PubMed
description 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 [Formula: see text] . 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 [Formula: see text] .
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spelling pubmed-89679732022-03-31 On physical analysis of topological indices via curve fitting for natural polymer of cellulose network Huang, Rongbing Siddiqui, Muhammad Kamran Manzoor, Shazia Khalid, Sadia Almotairi, Sultan Eur Phys J Plus Regular Article 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 [Formula: see text] . 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 [Formula: see text] . Springer Berlin Heidelberg 2022-03-31 2022 /pmc/articles/PMC8967973/ /pubmed/35378888 http://dx.doi.org/10.1140/epjp/s13360-022-02629-3 Text en © The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Regular Article
Huang, Rongbing
Siddiqui, Muhammad Kamran
Manzoor, Shazia
Khalid, Sadia
Almotairi, Sultan
On physical analysis of topological indices via curve fitting for natural polymer of cellulose network
title On physical analysis of topological indices via curve fitting for natural polymer of cellulose network
title_full On physical analysis of topological indices via curve fitting for natural polymer of cellulose network
title_fullStr On physical analysis of topological indices via curve fitting for natural polymer of cellulose network
title_full_unstemmed On physical analysis of topological indices via curve fitting for natural polymer of cellulose network
title_short On physical analysis of topological indices via curve fitting for natural polymer of cellulose network
title_sort on physical analysis of topological indices via curve fitting for natural polymer of cellulose network
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967973/
https://www.ncbi.nlm.nih.gov/pubmed/35378888
http://dx.doi.org/10.1140/epjp/s13360-022-02629-3
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