Computation of excess isentropic compressibility via Flory's statistical theory to investigate molecular interactions in n-alcohol–benzylamine mixtures

Excess isentropic compressibility is a key thermodynamic property that offers valuable insight into molecular interactions within liquid mixtures. Understanding these interactions is crucial for characterizing solution structure, designing chemical processes, and developing predictive thermodynamic models. Statistical models play a vital role in interpreting thermodynamic behavior by connecting macroscopic properties with molecular-level interactions. They allow for the prediction and analysis of complex mixture behavior while minimizing the need for extensive experimental data. In this study, the excess isentropic compressibility of n-alcohol–benzylamine mixtures across various compositions was computed using the Flory statistical model. This model requires only minimal input data, specifically, the thermal expansion and isothermal compressibility of the pure components. The computed values were used to assess molecular interactions within the mixtures. A negative deviation in isentropic compressibility was observed, indicating stronger interactions between unlike molecules (i.e., α-alcohol and benzylamine) than between like molecules. The close agreement between experimental and calculated values confirms the effectiveness of this theoretical approach for analyzing molecular interactions. Overall, the method provides a reliable and efficient means to compute excess isentropic compressibility and investigate liquid mixture behavior.

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Publication Details

Journal
African Journal of Empirical Research
Published
2025-06-28
DOI
https://doi.org/10.51867/ajernet.5.4.170
Primary Topic
Thermodynamic properties of mixtures
Type
article
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article

Computation of excess isentropic compressibility via Flory's statistical theory to investigate molecular interactions in n-alcohol–benzylamine mixtures

Bishan Datt Bhatt
African Journal of Empirical Research
Thermodynamic properties of mixtures
article

Computation of excess isentropic compressibility via Flory's statistical theory to investigate molecular interactions in n-alcohol–benzylamine mixtures

Bishan Datt Bhatt
article en

Abstract

Excess isentropic compressibility is a key thermodynamic property that offers valuable insight into molecular interactions within liquid mixtures. Understanding these interactions is crucial for characterizing solution structure, designing chemical processes, and developing predictive thermodynamic models. Statistical models play a vital role in interpreting thermodynamic behavior by connecting macroscopic properties with molecular-level interactions. They allow for the prediction and analysis of complex mixture behavior while minimizing the need for extensive experimental data. In this study, the excess isentropic compressibility of n-alcohol–benzylamine mixtures across various compositions was computed using the Flory statistical model. This model requires only minimal input data, specifically, the thermal expansion and isothermal compressibility of the pure components. The computed values were used to assess molecular interactions within the mixtures. A negative deviation in isentropic compressibility was observed, indicating stronger interactions between unlike molecules (i.e., α-alcohol and benzylamine) than between like molecules. The close agreement between experimental and calculated values confirms the effectiveness of this theoretical approach for analyzing molecular interactions. Overall, the method provides a reliable and efficient means to compute excess isentropic compressibility and investigate liquid mixture behavior.

African Journal of Empirical ResearchVol. 5(4)
Tribhuvan University (NP)
Openalex Percentile: Top 88%
Thermodynamic properties of mixtures
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Computation of excess isentropic compressibility via Flory's statistical theory to investigate molecular interactions in n-alcohol–benzylamine mixtures — Bishan Datt Bhatt · African Journal of Empirical Research (2025) | TGRS Research Map | TGRS