Silver cluster (Ag 6 ) decorated coronene as non-enzymatic sensor for glucose and H 2 O 2

Silver-graphene quantum dots are promising electrochemical sensors due to their unique electronic properties. Herein, we report the comprehensive DFT study to explore the electronic properties of silver cluster (Ag ) decorated coronene as model for silver graphene quantum dots. The current study aim...

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Veröffentlicht in:Journal of molecular graphics & modelling 2021-03, Vol.103, p.107824
Hauptverfasser: Jadoon, Tabish, Mahmood, Tariq, Ayub, Khurshid
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Sprache:eng
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Zusammenfassung:Silver-graphene quantum dots are promising electrochemical sensors due to their unique electronic properties. Herein, we report the comprehensive DFT study to explore the electronic properties of silver cluster (Ag ) decorated coronene as model for silver graphene quantum dots. The current study aims to investigate the sensing ability of silver-coronene complex for non-enzymatic electrochemical detection of glucose & H O . The stability of the complexes of analytes with silver decorated coronene is supported by their greater interaction energies (-36.7 to -44.9 kcal mol ) NBO charge analysis and charge decomposition analysis (CDA) reveal donor-acceptor charge transfer interactions in the complexes. Frontier molecular orbital analysis illustrates that charge is transferred from analytes to silver decorated coronene during excitation from HOMO to LUMO. The Uv-visible results show that λ is red shifted during interactions of analytes with silver decorated coronene. The NCI analysis illustrates the strong non-covalent (M … O) and unusual M … H-O interactions in the complexes. The precedent sensing performance of Ag -coronene might be attributed to the synergistic effect of both silver clusters and coronene in the composite. The evaluated results validate the excellent sensing ability of silver-graphene quantum dots for the detection of glucose & H O . The outcome of the current study and its prospects will open the avenue for the rational development of smart sensors.
ISSN:1873-4243
DOI:10.1016/j.jmgm.2020.107824