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Studies on computational chemistry and complexation behavior between Poly(styrene-co-methacrylic acid) and Poly(styrene-co-4-vinylpyridine)


 
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1. Title Title of document Studies on computational chemistry and complexation behavior between Poly(styrene-co-methacrylic acid) and Poly(styrene-co-4-vinylpyridine)
 
2. Creator Author's name, affiliation, country Fozia Israr; (Corresponding Author*) Associate Professor Institute of Pharmaceutical Sciences Jinnah Sindh Medical University Karachi, Pakistan; Pakistan
 
2. Creator Author's name, affiliation, country Sobia Israr; Research Scholar Department of Chemistry NED University of Engineering and Technology Karachi, Pakistan; Pakistan
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Computational approaches, Quantum and molecular mechanical, Gaussian® 09 software, Complexation behavior.
 
4. Description Abstract

Computational approaches plays a dynamic role in the variety of modules for quantum mechanical (QM) and molecular mechanical (MM) simulations by 09 software. In this work complexation behavior has been investigated between different composition of poly styrene-co-methacrylic acid (SMA) and poly styrene-co-4-vinylpyridine (S4VP). Polymer-polymer complexations performed by semi-empirical methods are DFT (B3LYP,RHF) levels of theory via 6-31 basis set. Quantitative interaction analyzed by different techniques such as optimization of conformers, binding energy of blend polymers through Hartree-Fock (HF), hydrogen non-polar bond distance, spectrum of IR/UV-Vis spectroscopy at MM & QM model, and the excitation energy at quantum mechanical level change into wavelength contains a number of absorption bands (200, 261.17, 250, 300, 350 nm). In this research an impact on miscibility complexation was also observed in polymers blend system followed by hydrogen-bonding SMA and S4VP (QM = 6.40, MM = 17.25). This research further confirmed the Hydrogen-bonding connections between carboxylic and pyridine clusters in different areas (MM = 3200 , QM = 3400 ) by a qualitative analysis through IR. Furthermore it is observed that QM methods provide distinct data as compared to MM methods, however it is worth mentioning that QM methods produce more reliable data of different properties of the system.

 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 10-03-2019
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://revues.imist.ma/index.php/morjchem/article/view/15381
 
10. Identifier Digital Object Identifier (DOI) https://doi.org/10.48317/IMIST.PRSM/morjchem-v7i1.15381
 
11. Source Title; vol., no. (year) Moroccan Journal of Chemistry; Vol 7, No 1 (2019)
 
12. Language English=en en
 
13. Relation Supp. Files
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2019 Moroccan Journal of Chemistry