JOURNAL ARTICLE

Insights into DES Stability and Reactivity with Carboxylic Acids: A Computational Approach.

  • Published In: Journal of Computational Biophysics & Chemistry, 2024, v. 23, n. 10. P. 1303 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yadav, Sandeep; Prajapat, Ayushi; Aslam, Mohd.; Kumar, Sandeep; Kabane, Bakusele; Bahadur, Indra; Rahaman, Mostafizur; Singh, Prashant; Singh, Thishana 3 of 3

Abstract

The study examined the interactions between a deep eutectic solvent (DES) containing choline chloride (ChCl) along with ethylene glycol (EG) in a molar ratio of 1:3, and three carboxylic acids: acetic acid, propanoic acid and butanoic acid. The structural stability, electrical characteristics and dynamic behavior of these DES-carboxylic acid systems were investigated utilizing techniques like density functional theory (DFT), natural bond orbital (NBO) analysis and molecular dynamics (MD) simulations. The results showed that the addition of carboxylic acids in the DES framework had a substantial impact on the distribution of electrons and the interactions between molecules in the system. More specifically, the presence of longer alkyl chains in the acids caused a more significant disturbance in the hydrogen- bond network of the DES. This was observed through alterations in the electron localization function (ELF) and noncovalent interaction (NCI) investigations. The results yielded useful insights into the design and implementation of DESs, including improving their stability and reactivity through targeted acid interactions. Interactions between a DES with carboxylic acids have been studied using computational calculations. Addition of carboxylic acids on the DES framework had a substantial impact on the distribution of electrons and the interactions between molecules in the system. This was observed through alterations in the electron localization function and non-covalent interaction investigations. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Computational Biophysics & Chemistry. 2024/12, Vol. 23, Issue 10, p1303
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2024
  • ISSN:2737-4165
  • DOI:10.1142/S2737416524500443
  • Accession Number:181120476
  • Copyright Statement:Copyright of Journal of Computational Biophysics & Chemistry is the property of World Scientific Publishing Company 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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