Density of multicomponent silica-based potential bioglasses: Quantitative structure-property relationships (QSPR) analysis

被引:12
|
作者
Lusvardi, Gighola
Malavasi, Gianluca
Menabue, Ledi
Menziani, M. Cristina
Pedone, Alfonso
Segre, Ulderico
机构
[1] Univ Modena & Reggio Emilia, Dept Chem, I-41100 Modena, Italy
[2] Univ Modena & Reggio Emilia, SCS Ctr, I-41100 Modena, Italy
关键词
glass; silicate; computational study; ZnO;
D O I
10.1016/j.jeurceramsoc.2006.04.067
中图分类号
TQ174 [陶瓷工业]; TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
The results of a quantitative structure-property relationships (QSPR) analysis of multicomponent silica-based potential bioglasses (containing Na2O, CaO, P2O5 and/or ZnO) are here presented. A quantitative model explaining the variation of the density data measured for series of glasses with different compositions has been obtained by means of a structural descriptor derived from molecular dynamics (MD) simulations. A descriptor able to rationalize the variation in density caused by the overall packing degree of the structural units in the glasses examined has been defined. It is worth noting that the descriptor used allows the fitting of glasses with different composition (presence-absence Of P2O5, ZnO, Na2O and CaO) in the same correlation. The validity of the QSPR approach, which has recently been introduced for the rationalization and prediction of the technology-related properties of a series of complex multicomponent glasses, is confirmed by this work on a larger series of glasses of various compositions. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:499 / 504
页数:6
相关论文
共 50 条
  • [41] Quantitative structure-property relationships (QSPRs) on direct photolysis of PCDDs
    Chen, JW
    Quan, X
    Schramm, KW
    Kettrup, A
    Yang, FL
    CHEMOSPHERE, 2001, 45 (02) : 151 - 159
  • [42] Quantitative structure-property relationships for pesticides in biopartitioning micellar chromatography
    Ma, WP
    Luan, F
    Zhang, HX
    Zhang, XY
    Liu, MC
    Hu, ZD
    Fan, BT
    JOURNAL OF CHROMATOGRAPHY A, 2006, 1113 (1-2) : 140 - 147
  • [43] Quantitative structure-property relationships for the chemical reactivity of acrylates and methacrylates
    Freidig, AP
    Verhaar, HJM
    Hermens, JLM
    ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 1999, 18 (06) : 1133 - 1139
  • [45] QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIPS OF ANTIWEAR PERFORMANCE OF LUBRICANT ADDITIVES
    Liu, Yanli
    Deng, Jiyong
    Yu, Xinliang
    REVUE ROUMAINE DE CHIMIE, 2017, 62 (11) : 849 - 855
  • [46] Quantitative structure-property relationships for the reactivity parameters of acrylate monomers
    Yu, Xinliang
    Yi, Bing
    Wang, Xueye
    EUROPEAN POLYMER JOURNAL, 2008, 44 (12) : 3997 - 4001
  • [47] Quantitative structure-property relationships for vapor pressure of PCDD/Fs
    Chen J.W.
    Quan X.
    Yan Y.
    Zhao Y.Z.
    Yang F.L.
    Bulletin of Environmental Contamination and Toxicology, 2001, 66 (3) : 277 - 282
  • [48] Quantitative structure-property relationships for vapor pressure of PCDD/Fs
    Chen, JW
    Quan, X
    Yan, Y
    Zhao, YZ
    Yang, FL
    BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2001, 66 (03) : 277 - 282
  • [49] Prediction of physical and chemical properties by quantitative structure-property relationships
    Liang, C
    Gallagher, DA
    AMERICAN LABORATORY, 1997, 29 (06) : 34 - +
  • [50] A fuzzy ARTMAP-based quantitative structure-property relationship (QSPR) for predicting physical properties of organic compounds
    Espinosa, G
    Yaffe, D
    Arenas, A
    Cohen, Y
    Giralt, F
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2001, 40 (12) : 2757 - 2766