JOURNAL ARTICLE

Physicochemical studies of adenosine in the presence of aqueous caffeine and theophylline solutions, & sodium valproate with γ‐amino butyric acid in aqueous medium at T = (288.15–318.15) K and at p = 1 × 105 Pa

  • Published In: Vietnam Journal of Chemistry, 2024, v. 62, n. 4. P. 517 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Beri, Aashima; Kant, Rishi; Banipal, Tarlok Singh 3 of 3

Abstract

In human body, drug‐neurotransmitter interactions have been the most significant process. Whereas, adverse reactions may be accompanied by unexpected interaction, which puts an individual in danger of life. Thus, the interactions between adenosine (ADN) and sodium valproate (SV) with caffeine (CAF), theophylline (TPY) and γ‐amino butyric acid (GABA) have been studied. Various properties like densities, ρ and speed of sound, u, have been used to calculate apparent molar volumes (V2,ϕ) and apparent molar isentropic compression (Ks,2,ϕ) for ADN and SV in aqueous (5, 10, 15 and 20 mmol kg−1) CAF, TPY and GABA solutions at T = (288.15–318.15) K and at pressure p = 1 × 105 Pa. The results of various interactions that occurred by mixing the solutions have been interpreted. Exothermicity is indicated by the negative values of standard molar enthalpy of transfer, ΔtrΔdilH0, obtained from the calorimetry. UV‐absorption and 1H NMR studies suggest that there is a dominance of solute‐cosolute interactions due to hyperchromic shift and shielding effect. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Vietnam Journal of Chemistry. 2024/08, Vol. 62, Issue 4, p517
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2024
  • ISSN:0866-7144
  • DOI:10.1002/vjch.202300149
  • Accession Number:179045403
  • Copyright Statement:Copyright of Vietnam Journal of Chemistry is the property of Wiley-Blackwell 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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