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SYNTHESIS AND PHYSICOCHEMICAL CHARACTERIZATION OF IONIC LIQUID SYSTEMS OF POSACONAZOLE.

  • Published In: Indian Drugs, 2026, v. 63, n. 3. P. 18 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mujawar, Sofiya F.; Pore, Yogesh V.; Chaudhari, Deep M.; Rasal, Vinayak V.; Rokade, Siddhesh V.; Jain, Lovely P. 3 of 3

Abstract

Aspergillosis, caused by Aspergillus niger, is difficult to manage due to the poor solubility of antifungal agents like posaconazole. To enhance its delivery, an ionic liquid (IL) of posaconazole was prepared in 1:4 and 1:5 molar ratios via employing solvent evaporation method. Structural characterization using Fourier transform infrared spectroscopy (FTIR) revealed red shifts in O-H and N-H bands, confirming hydrogen bonding and drug-carrier interaction. X-ray powder diffractometry (XRPD) and differential scanning calorimetry (DSC) analysis indicated reduced crystallinity. Saturation solubility and partition coefficient studies demonstrated improved aqueous solubility and reduced lipophilicity of IL formulations. In vitro dissolution showed significantly enhanced release profiles compared to the pure drug. Antifungal evaluation revealed increased activity against A. niger and retained activity against Candida albicans. These findings suggest that IL based systems can improve solubility, permeability and antifungal efficacy of posaconazole, offering a promising strategy for the treatment of aspergillosis. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Indian Drugs. 2026/03, Vol. 63, Issue 3, p18
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2026
  • ISSN:0019-462X
  • DOI:10.53879/id.63.03.16133
  • Accession Number:192834234
  • Copyright Statement:Copyright of Indian Drugs is the property of Indian Drug Manufacturers' Association (IDMA) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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