Molecular Dynamics Insights into Cyrene's Vapor-Liquid Equilibria and Transport Properties.

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry B Pub Date : 2025-02-13 Epub Date: 2025-01-31 DOI:10.1021/acs.jpcb.4c08254
Callum Donaldson, Carmelo Herdes
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Abstract

Since its inception in 2014, Cyrene has emerged as a promising biobased solvent derived from renewable cellulose waste, offering a sustainable alternative to conventional toxic solvents. However, experimental data on its thermodynamic and transport properties remain scarce. This study addresses this critical gap by employing state-of-the-art molecular dynamics simulations. The results provide novel data on Cyrene's phase behavior and fluid dynamics over a wide temperature range (300-700 K) and pressure conditions, including the prediction of critical properties (801 K, 81.04 bar, and 415.389 kg/m3). By leveraging advanced computational techniques, this research elucidates Cyrene's density, diffusion coefficients, and viscosity, with accuracy validated against experimental data where available. These findings enhance our theoretical understanding of Cyrene, supporting its adoption in industrial applications and contributing to the broader agenda of green chemistry. Future work will extend these models to study solvent mixtures and coarse-grained representations, driving further innovation in sustainable solvent design.

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昔兰尼的气液平衡和输运性质的分子动力学研究。
自2014年成立以来,昔兰尼已经成为一种有前途的生物基溶剂,它是从可再生纤维素废料中提取的,为传统的有毒溶剂提供了可持续的替代品。然而,关于其热力学和输运性质的实验数据仍然很少。本研究通过采用最先进的分子动力学模拟来解决这一关键差距。结果提供了在宽温度范围(300-700 K)和压力条件下昔兰尼相行为和流体动力学的新数据,包括预测临界性质(801 K, 81.04 bar和415.389 kg/m3)。通过利用先进的计算技术,本研究阐明了Cyrene的密度、扩散系数和粘度,并根据实验数据进行了准确性验证。这些发现增强了我们对昔兰尼的理论理解,支持其在工业应用中的采用,并为绿色化学的更广泛议程做出贡献。未来的工作将扩展这些模型来研究溶剂混合物和粗粒度表示,推动可持续溶剂设计的进一步创新。
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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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