不同温度和成分下深共晶溶剂的密度和粘度:测量和预测模型

IF 1.4 4区 工程技术 Q3 ENGINEERING, CHEMICAL Asia-Pacific Journal of Chemical Engineering Pub Date : 2024-02-21 DOI:10.1002/apj.3035
Haiou Wang, Yinuo Wang, Shizhuo Wang, Hongjuan Li, Sheng Peng, Yatao Wang, Hao Li, Jing Fang
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引用次数: 0

摘要

深共晶溶剂(DES)作为环境友好型溶剂的前景越来越广阔,准确预测其密度和粘度对其成功的工业应用至关重要。然而,现有的密度和粘度预测模型主要依赖于温度变化,往往忽略了 DESs 中氢键受体(HBA)与氢键供体(HBD)摩尔比的变化,从而限制了其实用性。因此,本研究使用氯化胆碱(ChCl)作为氢键供体合成了几种二元和三元 DES。测量了这些 DES 的密度和粘度,并建立了基于温度和摩尔比的 DES 密度和粘度预测模型。这些模型用于预测不同温度和摩尔比下 DES 的密度和粘度。利用本研究的实验数据对模型参数进行了校准。最后,利用该模型预测了本文中提到的 DES 以及具有不同 HBA 和 HBD 的 DES 的密度和粘度。结果表明,文献值、实验值和计算值之间的差异小于 6%,这证实了本研究提出的预测模型具有普遍适用性和可靠性。
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Density and viscosity of deep eutectic solvents at different temperatures and compositions: Measurement and prediction model

Deep eutectic solvents (DESs) are becoming increasingly promising as environmentally friendly solvents, and accurate prediction of their density and viscosity is crucial for their successful industrial application. However, existing density and viscosity prediction models primarily rely on temperature variations and often overlook changes in the molar ratio of hydrogen bond acceptors (HBA) to hydrogen bond donors (HBD) in DESs, limiting their practicality. Therefore, in this study, several binary and ternary DESs were synthesized using choline chloride (ChCl) as the hydrogen bond donor. The densities and viscosities of these DESs were measured, and prediction models for the density and viscosity of DESs based on temperature and molar ratio were developed. These models were used to forecast the density and viscosity of DESs at different temperatures and molar ratios. The model parameters are calibrated using experimental data from this research. Finally, the model is utilized to predict the density and viscosity of DESs mentioned in this paper, as well as DESs with varying HBAs and HBDs. The results demonstrate that the discrepancy between the literature value, experimental value, and calculated value is less than 6%, confirming the universal applicability and reliability of the prediction model proposed in this study.

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来源期刊
自引率
11.10%
发文量
111
期刊介绍: Asia-Pacific Journal of Chemical Engineering is aimed at capturing current developments and initiatives in chemical engineering related and specialised areas. Publishing six issues each year, the journal showcases innovative technological developments, providing an opportunity for technology transfer and collaboration. Asia-Pacific Journal of Chemical Engineering will focus particular attention on the key areas of: Process Application (separation, polymer, catalysis, nanotechnology, electrochemistry, nuclear technology); Energy and Environmental Technology (materials for energy storage and conversion, coal gasification, gas liquefaction, air pollution control, water treatment, waste utilization and management, nuclear waste remediation); and Biochemical Engineering (including targeted drug delivery applications).
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