4.7 Article

Molecular Structure of Cefuroxime Axetil Complexes with α-, β-, γ-, and 2-Hydroxypropyl-β-Cyclodextrins: Molecular Simulations and Raman Spectroscopic and Imaging Studies

Journal

Publisher

MDPI
DOI: 10.3390/ijms22105238

Keywords

cefuroxime axetil; cyclodextrins; drug delivery; inclusion complexes; Raman spectroscopy; molecular dynamics

Funding

  1. National Science Centre, Poland [2015/18/E/ST4/00234, 2019/03/X/NZ7/01725]

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The study found that cefuroxime axetil forms inclusion complexes with various cyclodextrins, each with slightly different interaction properties. Through Raman spectroscopy and molecular dynamics simulation, the molecular details of these complexes were successfully predicted.
The formation of cefuroxime axetil+cyclodextrin (CA+CD) complexes increases the aqueous solubility of CA, improves its physico-chemical properties, and facilitates a biomembrane-mediated drug delivery process. In CD-based tablet formulations, it is crucial to investigate the molecular details of complexes in final pharmaceutical preparation. In this study, Raman spectroscopy and mapping were applied for the detection and identification of chemical groups involved in alpha-, beta-, gamma-, and 2-hydroxypropyl-beta-CD (2-HP- beta-CD)+CA complexation process. The experimental studies have been complemented by molecular dynamics-based investigations, providing additional molecular details of CA+CD interactions. It has been demonstrated that CA forms the guest-host type inclusion complexes with all studied CDs; however, the nature of the interactions is slightly different. It seems that both alpha- and beta-CD interact with furanyl and methoxy moieties of CA, gamma-CD forms a more diverse pattern of interactions with CA, which are not observed in other CDs, whereas 2HP-beta-CD binds CA with the contribution of hydrogen bonding. Apart from supporting this interpretation of the experimental data, molecular dynamics simulations allowed for ordering the CA+CD binding affinities. The obtained results proved that the molecular details of the host-guest complexation can be successfully predicted from the combination of Raman spectroscopy and molecular modeling.

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