(382p) Prediction of Vapor-Liquid Coexistence for Carvacrol Using Equation of State Methods and Monte Carlo Simulations
AIChE Annual Meeting
2019
2019 AIChE Annual Meeting
Engineering Sciences and Fundamentals
Poster Session: Thermodynamics and Transport Properties (Area 1A)
Tuesday, November 12, 2019 - 3:30pm to 5:00pm
The knowledge of the pure component VLE properties is essential for its efficient extraction. However, the only experimental data reported in literature are at low vapor pressures (within 1 atm) and the normal boiling point is reported to be ~510 K. [3] The enthalpy of vaporization data is only available at 298.15 K. [4] In this study, we report the VLE data obtained from theory using Equations of State (EoS) and a molecular simulation technique â Gibbs Ensemble Monte Carlo (GEMC) [5]. In the EoS methods (which are extensively employed in process simulation software), we have used three equations: Soave-Redlich-Kwong , Peng-Robinson and volume translated Peng-Robinson . These EoS require the critical properties and the acentric factor of the compound as inputs. These inputs can be estimated in two ways: using (1) Group Contribution methods such as Joback-Reid [6] and Marrero-Gani (MG) [7]; and (2) molecular simulation approach. GC is quick though inherently approximate whereas molecular simulation is a fundamental approach which allows study of the phase behavior from a description of the interactions between the molecules. The interactions present in this system have been modeled according to the TraPPE-UA (Transferrable Potentials for Phase Equilibria-United Atom) force field. [8] Parameters for interactions involving the phenolic -OH group are not reported in the relevant TraPPE-UA literature. These parameters are adopted from a study on curcumin, using OPLS-UA (Optimized Potential for Liquid Simulations â United Atom) force field. [9] The simulations are performed using MCCCS Towhee package in the temperature range from 500 K to 650 K. [10] The structure of the liquid phase has been studied by computing the intermolecular radial distribution functions, which also allow us to determine the extent of hydrogen bonding present.
References:
[1] Sharifi-Rad M, et al., Phytotherapy Research, 2018; 32, 1675â1687
[2] Farid Chemat, et al., Int. J. Mol. Sci., 2012; 13, 8615-8627
[3] Stull, Daniel R., et al., Ind. Eng. Chem., 1947;39 (4) 517-540
[4] van Roon, et al., Journal of Chromatography A, 2002; 955 (1) 105-115
[5] A. Z. Panagiotopoulos, Molecular Physics, 1987; 61, 813-826
[6] Joback K.G., et al., Chem. Eng. Commun., 1987; 57, 233â243
[7] J. Marrero and R. Gani, Fluid Phase Equilibria, 2001; 183â184,183â208
[8] Eggimann, et al. Molec. Simul. 2014, 40, 101-105
[9] T. Patsahan et al., Condensed Matter Physics 2017; 20 (2) 23003
[10] MCCCS Towhee. Available at: http://towhee.sourceforge.net. Accessed in January, 2019