Quantum Molecular Descriptors of 6-Thioguanine Adsorbed PPy-PNVK Conducting Polymer: A DFT Analysis

Kirtesh Pratap Khare1,2,*,, Rachana Kathal1,, Neelima Shukla3,, Reena Srivastava2 and Anurag Srivastava2,

1Department of Chemistry, Amity School of Engineering & Technology, Amity University, Gwalior-474005, India

2Advanced Materials Research Group, Materials Synthesis and Sensor Design Laboratory, ABV-Indian Institute of Information Technology and Management, Gwalior-474015, India

3Department of Chemistry, Shrimant Madhavrao Scindia Government Model Science College, Gwalior-474002, India

*Corresponding author: E-mail: kirteshkhare01@gmail.com


6-Thioguanine (6-TG) is an important drug to cure cancer with fierce adverse effects on human being, necessitating its frequent monitoring. Present work reports the computational analysis of a copolymer (PPy-PNVK), synthesized using polypyrrole (PPy) and poly(9-vinyl carbazole) (PNVK) host polymers. The sensing ability of these polymers for 6-TG, has been performed through the DFT formulated ab initio approach employing the generalized gradient approximations (GGA), considering the revised-Perdew, Burke and Ernzerh (rPBE) pattern of parameters. The suitability of these polymers for 6-TG sensing application, has been assessed by analyzing the variations in the HOMO-LUMO gaps, density of state (DOS), Mulliken population, molecular energy spectrum (MES), adsorption energy (Eads), bond variation, chemical reactivity of the surface, the recovery time (τ) and the electron density plots. The estimated negative adsorption energy confirms the physisorption and stability of 6-TG on PPy, PNVK and their copolymer counterpart. Considering the recovery time, range of detection, reusability and quantum molecular descriptors as an important sensing parameters, it has been observed that the computationally synthesized copolymer is relatively better in comparison to its host polymers.


6-Thioguanine, polypyrrole, Poly(9-vinyl carbazole), Copolymer, Molecular energy spectrum, Recovery time.

   View Article PDF File Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.