Group contribution models for densities and heat capacities of deep eutectic solvents

被引:5
|
作者
Di Pietro, Thomas [1 ]
Cesari, Laetitia [1 ]
Mutelet, Fabrice [1 ]
机构
[1] Univ Lorraine, Ecole Natl Super Ind Chim, Lab React & Genie Proc UMR CNRS 7274, 1 Rue Grandville, F-54000 Nancy, France
关键词
Density; heat capacity; group contribution; deep euetectic solvents; prediction; physicochemical properties; CHOLINE CHLORIDE; IONIC LIQUIDS; TEMPERATURES; PREDICTION; GLYCEROL;
D O I
10.1016/j.fluid.2023.113854
中图分类号
O414.1 [热力学];
学科分类号
摘要
The most recent database regrouping two key properties for the use of deep eutectic solvents in chemical processes, namely the density and the heat capacity, was used to develop simple group contribution models for predicting these properties. The databank contains a total of 3266 data points for 231 systems and 573 data points for 27 systems for density and heat capacity, respectively. These models only require the temperature and the number of each group in the molecules with no limitation on the number of molecules composing the studied deep eutectic solvent. The resulting average deviations are of 1.95% for density with 42.8% of the data having an average deviation under 1%, and 3.09% for heat capacity, with 55.5% of the data with a deviation under 1%. Both binary and ternary deep eutectic solvents have been investigated, with the deviation for ternary systems being of 1.05% in the case of the density model. Several families of DESs have been examined, with the best results obtained for DESs based on choline chloride, betaine and the benzyltrialkylammonium cation. These models are compared to more complex group contribution models from the literature. The models from this work are easy to implement and to modify when new data are available and are a step in the direction of the general prediction of properties of deep eutectic solvents.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Estimation of the heat capacities of deep eutectic solvents
    Taherzadeh, Mehrdad
    Haghbakhsh, Reza
    Duarte, Ana Rita C.
    Raeissi, Sona
    JOURNAL OF MOLECULAR LIQUIDS, 2020, 307
  • [2] Estimation of the heat capacities of deep eutectic solvents
    Taherzadeh, Mehrdad
    Haghbakhsh, Reza
    Duarte, Ana Rita C.
    Raeissi, Sona
    Raeissi, Sona (raeissi@shirazu.ac.ir), 1600, Elsevier B.V., Netherlands (307):
  • [3] Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents
    Haghbakhsh, Reza
    Raeissi, Sona
    Duarte, Ana Rita C.
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [4] Group contribution and atomic contribution models for the prediction of various physical properties of deep eutectic solvents
    Reza Haghbakhsh
    Sona Raeissi
    Ana Rita C. Duarte
    Scientific Reports, 11
  • [5] Comprehensive Prediction of Densities for Deep Eutectic Solvents: A New Bonding-Group Interaction Contribution Scheme
    Hou, Xiao-Jing
    Yu, Liu-Ying
    Wang, Yan-Xu
    Wu, Ke-Jun
    He, Chao-Hong
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, 60 (35) : 13127 - 13139
  • [6] Densities of ammonium and phosphonium based deep eutectic solvents: Prediction using artificial intelligence and group contribution techniques
    Shahbaz, K.
    Baroutian, S.
    Mjalli, F. S.
    Hashim, M. A.
    AlNashef, I. M.
    THERMOCHIMICA ACTA, 2012, 527 : 59 - 66
  • [7] Viscosity model of deep eutectic solvents from group contribution method
    Yu, Liu-Ying
    Hou, Xiao-Jing
    Ren, Gao-Peng
    Wu, Ke-Jun
    He, Chao-Hong
    AICHE JOURNAL, 2022, 68 (09)
  • [8] Random forest models to predict the densities and surface tensions of deep eutectic solvents
    Wang, Yan-Xu
    Hou, Xiao-Jing
    Zeng, Jing
    Wu, Ke-Jun
    He, Yuchen
    AICHE JOURNAL, 2023, 69 (07)
  • [9] Proposing novel predictive group and atomic contribution models for hydrogen sulfide absorption by Deep Eutectic Solvents
    Jafari, Parian
    Haghbakhsh, Reza
    SEPARATION AND PURIFICATION TECHNOLOGY, 2025, 354
  • [10] Machine learning coupled with group contribution for predicting the density of deep eutectic solvents
    Roosta, Ahmadreza
    Haghbakhsh, Reza
    Duarte, Ana Rita C.
    Raeissi, Sona
    FLUID PHASE EQUILIBRIA, 2023, 565