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Wang D, Wang Y, Li F, Wei J, Zhou L, Zhang T, Chen M, Han D, Gong J. Uncovering the Molecular Mechanisms of Cosolvency and Predicting the Cosolvency Phenomenon by Molecular Simulations: A Case Study of Amino Acids. J Phys Chem Lett 2023:6143-6150. [PMID: 37367194 DOI: 10.1021/acs.jpclett.3c01229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Cosolvency is an intriguing thermodynamic phenomenon. However, the lack of theoretical research restricts its development and its further applications. In this work, l-alanine, l-phenylalanine, and L-tryptophan were selected as model substances to investigate the mechanism of cosolvency at the molecular level. First, the dissolution behaviors of three amino acids were characterized to determine the solvent ratios at the occurrence of the cosolvency phenomenon. Furthermore, amino acid molecules undergo a shift in molecular conformation, which leads to changes in inter/intramolecular interactions. A molecular dynamics simulation method was proposed to calculate the trends of inter/intramolecular interactions, demonstrating that the maximum point of the inter/intramolecular interaction ratio exactly corresponds to the occurrence of the cosolvency. The cosolvency phenomenon of l-proline and l-threonine was predicted successfully based on this simulation method. These results are likely to provide in-depth comprehension and guidance for predicting the cosolvency phenomenon of amino-acid-like substances.
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Affiliation(s)
- Dongbo Wang
- School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, 300072 Tianjin, P R China
| | - Ying Wang
- School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, 300072 Tianjin, P R China
| | - Fan Li
- School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, 300072 Tianjin, P R China
| | - Jiahao Wei
- School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, 300072 Tianjin, P R China
| | - Lina Zhou
- School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, 300072 Tianjin, P R China
| | - Tao Zhang
- Huaheng Biological Engineering Co., Ltd, Qinhuangdao 066000, Hebei, P R China
| | - Mingyang Chen
- School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, 300072 Tianjin, P R China
| | - Dandan Han
- School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, 300072 Tianjin, P R China
| | - Junbo Gong
- School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, 300072 Tianjin, P R China
- The Co-Innovation Center of Chemistry and Chemical Engineering of Tianjin, 300072 Tianjin, P R China
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Schmid F. Understanding and Modeling Polymers: The Challenge of Multiple Scales. ACS POLYMERS AU 2022. [DOI: 10.1021/acspolymersau.2c00049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Friederike Schmid
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 9, 55128Mainz, Germany
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