Reactive Monte Carlo simulations for charge regulation of colloidal particles

被引:10
|
作者
Bakhshandeh, Amin [1 ]
Frydel, Derek [2 ]
Levin, Yan [1 ]
机构
[1] Univ Fed Rio Grande do Sul, Inst Fis, Caixa Postal 15051, BR-91501970 Porto Alegre, RS, Brazil
[2] Univ Tecn Federico Santa Maria, Dept Chem, Campus San Joaquin, Santiago 7820275, Chile
关键词
MEAN SPHERICAL MODEL; IONIC-STRENGTH; POTENTIOMETRIC TITRATION; INTEGRAL-EQUATION; ACTIVE-TRANSPORT; HARD-SPHERES; ADSORPTION; POLYELECTROLYTES; PH; ELECTROLYTES;
D O I
10.1063/5.0077956
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We use a reactive Monte Carlo simulation method and the primitive model of electrolyte to study acid-base equilibrium that controls charge regulation in colloidal systems. The simulations are performed in a semi-grand canonical ensemble in which colloidal suspension is in contact with a reservoir of salt and strong acid. The interior of colloidal particles is modeled as a low dielectric medium, different from the surrounding water. The effective colloidal charge is calculated for different numbers of surface acidic groups, pH, salt concentrations, and types of electrolyte. In the case of potassium chloride, the titration curves are compared with the experimental measurements obtained using potentiometric titration. A good agreement is found between simulations and experiments. In the case of lithium chloride, the specific ionic adsorption is taken into account through the partial dehydration of lithium ion.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Electrostatic origins of polyelectrolyte adsorption: Theory and Monte Carlo simulations
    Wang, Lei
    Liang, Haojun
    Wu, Jianzhong
    JOURNAL OF CHEMICAL PHYSICS, 2010, 133 (04)
  • [22] Density Relaxation of Granular Matter through Monte Carlo Simulations
    Rosato, A. D.
    Ratnaswamy, V.
    Horntrop, D. J.
    Dybenko, O.
    Kondic, L.
    POWDERS AND GRAINS 2009, 2009, 1145 : 481 - +
  • [23] Modelling the interaction processes between nanoparticles and biomacromolecules of variable hydrophobicity: Monte Carlo simulations
    Carnal, Fabrice
    Clavier, Arnaud
    Stoll, Serge
    ENVIRONMENTAL SCIENCE-NANO, 2015, 2 (04) : 327 - 339
  • [24] Electrolyte clusters as hydrogen sponges: diffusion Monte Carlo simulations
    Zane, A. R.
    Curotto, E.
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2022, 24 (42) : 26094 - 26101
  • [25] Adsorption of semiflexible chains on nanostriped surfaces: Monte Carlo simulations
    AlSunaidi, Abdullah
    MACROMOLECULAR THEORY AND SIMULATIONS, 2007, 16 (01) : 86 - 92
  • [26] Coagulation-flocculation process on a lattice: Monte Carlo simulations
    Blavatska, Viktoria
    Ilnytskyi, Jaroslav
    Laehderanta, Erkki
    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2024, 57 (31)
  • [27] Monte Carlo simulations of ionization potential depression in dense plasmas
    Stransky, M.
    PHYSICS OF PLASMAS, 2016, 23 (01)
  • [28] Simulating sticky particles: A Monte Carlo method to sample a stratification
    Holmes-Cerfon, Miranda
    JOURNAL OF CHEMICAL PHYSICS, 2020, 153 (16)
  • [29] Monte-Carlo simulations of PAMAM dendrimer-DNA interactions
    Yu, Shi
    Larson, Ronald G.
    SOFT MATTER, 2014, 10 (29) : 5325 - 5336
  • [30] Kinetic Monte Carlo Simulations of Electrochemical Oxidation and Reduction of Pt(111)
    Erlebacher, J.
    Kubal, J.
    Zeng, Z.
    Greeley, J.
    Struk, K.
    Steinbach, A. J.
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2019, 166 (16) : H888 - H896