Calculation of the Gibbs Free Energy of Solvation and Dissociation of Hcl in Water Via Monte Carlo Simulations and Continuum
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Solution Is a Homogeneous Mixture of Two Or More Substances in Same Or Different Physical Phases. the Substances Forming The
CLASS NOTES Class:12 Topic: Solutions Subject: Chemistry Solution is a homogeneous mixture of two or more substances in same or different physical phases. The substances forming the solution are called components of the solution. On the basis of number of components a solution of two components is called binary solution. Solute and Solvent In a binary solution, solvent is the component which is present in large quantity while the other component is known as solute. Classification of Solutions Solubility The maximum amount of a solute that can be dissolved in a given amount of solvent (generally 100 g) at a given temperature is termed as its solubility at that temperature. The solubility of a solute in a liquid depends upon the following factors: (i) Nature of the solute (ii) Nature of the solvent (iii) Temperature of the solution (iv) Pressure (in case of gases) Henry’s Law The most commonly used form of Henry’s law states “the partial pressure (P) of the gas in vapour phase is proportional to the mole fraction (x) of the gas in the solution” and is expressed as p = KH . x Greater the value of KH, higher the solubility of the gas. The value of KH decreases with increase in the temperature. Thus, aquatic species are more comfortable in cold water [more dissolved O2] rather than Warm water. Applications 1. In manufacture of soft drinks and soda water, CO2 is passed at high pressure to increase its solubility. 2. To minimise the painful effects (bends) accompanying the decompression of deep sea divers. O2 diluted with less soluble. -
Solvent Effects on the Thermodynamic Functions of Dissociation of Anilines and Phenols
University of Wollongong Research Online University of Wollongong Thesis Collection 1954-2016 University of Wollongong Thesis Collections 1982 Solvent effects on the thermodynamic functions of dissociation of anilines and phenols Barkat A. Khawaja University of Wollongong Follow this and additional works at: https://ro.uow.edu.au/theses University of Wollongong Copyright Warning You may print or download ONE copy of this document for the purpose of your own research or study. The University does not authorise you to copy, communicate or otherwise make available electronically to any other person any copyright material contained on this site. You are reminded of the following: This work is copyright. Apart from any use permitted under the Copyright Act 1968, no part of this work may be reproduced by any process, nor may any other exclusive right be exercised, without the permission of the author. Copyright owners are entitled to take legal action against persons who infringe their copyright. A reproduction of material that is protected by copyright may be a copyright infringement. A court may impose penalties and award damages in relation to offences and infringements relating to copyright material. Higher penalties may apply, and higher damages may be awarded, for offences and infringements involving the conversion of material into digital or electronic form. Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong. Recommended Citation Khawaja, Barkat A., Solvent effects on the thermodynamic functions of dissociation of anilines and phenols, Master of Science thesis, Department of Chemistry, University of Wollongong, 1982. -
Physical Chemistry
Subject Chemistry Paper No and Title 10, Physical Chemistry- III (Classical Thermodynamics, Non-Equilibrium Thermodynamics, Surface chemistry, Fast kinetics) Module No and Title 10, Free energy functions and Partial molar properties Module Tag CHE_P10_M10 CHEMISTRY Paper No. 10: Physical Chemistry- III (Classical Thermodynamics, Non-Equilibrium Thermodynamics, Surface chemistry, Fast kinetics) Module No. 10: Free energy functions and Partial molar properties TABLE OF CONTENTS 1. Learning outcomes 2. Introduction 3. Free energy functions 4. The effect of temperature and pressure on free energy 5. Maxwell’s Relations 6. Gibbs-Helmholtz equation 7. Partial molar properties 7.1 Partial molar volume 7.2 Partial molar Gibb’s free energy 8. Question 9. Summary CHEMISTRY Paper No. 10: Physical Chemistry- III (Classical Thermodynamics, Non-Equilibrium Thermodynamics, Surface chemistry, Fast kinetics) Module No. 10: Free energy functions and Partial molar properties 1. Learning outcomes After studying this module you shall be able to: Know about free energy functions i.e. Gibb’s free energy and work function Know the dependence of Gibbs free energy on temperature and pressure Learn about Gibb’s Helmholtz equation Learn different Maxwell relations Derive Gibb’s Duhem equation Determine partial molar volume through intercept method 2. Introduction Thermodynamics is used to determine the feasibility of the reaction, that is , whether the process is spontaneous or not. It is used to predict the direction in which the process will be spontaneous. Sign of internal energy alone cannot determine the spontaneity of a reaction. The concept of entropy was introduced in second law of thermodynamics. Whenever a process occurs spontaneously, then it is considered as an irreversible process. -
Solvation Structure of Ions in Water
International Journal of Thermophysics, Vol. 28, No. 2, April 2007 (© 2007) DOI: 10.1007/s10765-007-0154-6 Solvation Structure of Ions in Water Raymond D. Mountain1 Molecular dynamics simulations of ions in water are reported for solutions of varying solute concentration at ambient conditions for six cations and four anions in 10 solutes. The solutes were selected to show trends in properties as the size and charge density of the ions change. The emphasis is on how the structure of water is modified by the presence of the ions and how many water molecules are present in the first solvation shell of the ions. KEY WORDS: anion; cation; molecular dynamics; potential functions; solva- tion; water. 1. INTRODUCTION The behavior of aqueous solutions of salts is a topic of continuing interest [1–3]. In this note we examine how the structure of water,as reflected in the oxy- gen–oxygen pair function, is modified as the concentration of ions increases. The method of generating the pair functions is molecular dynamics using the SPC/E model for water [4] and various models for ion–water interactions taken from the literature. The solutes are LiCl, NaCl, KCl, RbCl, NaF, CaCl2, CaSO4,Na2SO4, NaNO3, and guanidinium chloride (GdmCl) [C(NH2)3Cl]. This work is an extension of earlier work [5] to a larger set of ions. The water molecules and ions interact through site–site pair interac- tions consisting of Lennard–Jones potentials and Coulomb interactions so that the interaction between a pair of sites labeled i, j and separated by an interatomic distance r is 12 6 φij (r) = 4ij (σij /r) − (σij /r) + qiqj /r (1) where qi is the charge on site i. -
Affinity of Small-Molecule Solutes to Hydrophobic, Hydrophilic, and Chemically Patterned Interfaces in Aqueous Solution
Affinity of small-molecule solutes to hydrophobic, hydrophilic, and chemically patterned interfaces in aqueous solution Jacob I. Monroea, Sally Jiaoa, R. Justin Davisb, Dennis Robinson Browna, Lynn E. Katzb, and M. Scott Shella,1 aDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106; and bDepartment of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, TX 78712 Edited by Peter J. Rossky, Rice University, Houston, TX, and approved November 17, 2020 (received for review September 30, 2020) Performance of membranes for water purification is highly influ- However, a molecular understanding that links membrane enced by the interactions of solvated species with membrane surface chemistry to solute affinity and hence membrane func- surfaces, including surface adsorption of solutes upon fouling. tional properties remains incomplete, due in part to the complex Current efforts toward fouling-resistant membranes often pursue interplay among specific interactions (e.g., hydrogen bonds, surface hydrophilization, frequently motivated by macroscopic electrostatics, dispersion) and molecular morphology (e.g., sur- measures of hydrophilicity, because hydrophobicity is thought to face and polymer configurations) that are difficult to disentangle increase solute–surface affinity. While this heuristic has driven di- (11–14). Chemically heterogeneous surfaces are even less un- verse membrane functionalization strategies, here we build on derstood but can affect fouling in complex ways. -
Simple Mixtures
Simple mixtures Before dealing with chemical reactions, here we consider mixtures of substances that do not react together. At this stage we deal mainly with binary mixtures (mixtures of two components, A and B). We therefore often be able to simplify equations using the relation xA + xB = 1. A restriction in this chapter – we consider mainly non-electrolyte solutions – the solute is not present as ions. The thermodynamic description of mixtures We already considered the partial pressure – the contribution of one component to the total pressure, when we were dealing with the properties of gas mixtures. Here we introduce other analogous partial properties. Partial molar quantities: describe the contribution (per mole) that a substance makes to an overall property of mixture. The partial molar volume, VJ – the contribution J makes to the total volume of a mixture. Although 1 mol of a substance has a characteristic volume when it is pure, 1 mol of a substance can make different contributions to the total volume of a mixture because molecules pack together in different ways in the pure substances and in mixtures. Imagine a huge volume of pure water. When a further 1 3 mol H2O is added, the volume increases by 18 cm . When we add 1 mol H2O to a huge volume of pure ethanol, the volume increases by only 14 cm3. 18 cm3 – the volume occupied per mole of water molecules in pure water. 14 cm3 – the volume occupied per mole of water molecules in virtually pure ethanol. The partial molar volume of water in pure water is 18 cm3 and the partial molar volume of water in pure ethanol is 14 cm3 – there is so much ethanol present that each H2O molecule is surrounded by ethanol molecules and the packing of the molecules results in the water molecules occupying only 14 cm3. -
The Cloud Point Composition and Flory-Huggins Interaction Parameters of Polyethylene Glycol and Sodium Lignin Sulfonate in Water - Ethanol Mixture
AN ABSTRACT OF THE THESIS OF Luh, Song - Ping for the degree of Master of Science in Chemical Engineering presented on July 22, 1987 Title: The Cloud Point Composition and Flory - Huggins Interaction Parameters of Polyethylene Glycol and Sodium Lignin Sulfonate in Water - Ethanol Mixtures Redacted for Privacy Abstract Approved: Willi J. Frederick/Jr. In designing a solubility based separation process for solvent recovery of an organosolv pulping process, the phase behavior of polymeric lignin molecules in alcohol - water mixed solvent should be known. In this study, sodium lignin sulfonates (NaLS) samples were fractionated into three different molecular weight fractions using a partial dissolution method. The cloud point compositions of each of the three fractions were determined by a cloud point titration method. The experimental data were correlated using the three component Flory - Huggins equation of the Gibbs free energy change of mixing. The binary interaction parameter between water and that between ethanol and NaLSwere found to be a weak function of the NaLS volume fraction, while that between water and ethanol was strongly depend on the solvent composition. The Cloud Point Composition and Flory - Huggins Interaction Parameters of Polyethylene Glycol and Sodium Lignin Sulfonate in Water - Ethanol Mixtures by Luh, Song - Ping A THESIS submitted to Oregon State University in partial fulfillment of the requirements for the degree of Master of Science Completed July 22, 1987 Commencement June 1988 APPROVED: Redacted for Privacy Associate P fessor of Chemi401 Engineering in charge of major Redacted for Privacy Head of Department of dlemical Engineering Redacted for Privacy Dean of Gradu School (I Date thesis is presented July 22, 1987 Typed by Luh, Song - Ping for Luh, Song - Ping TABLE OF CONTENTS Page INTRODUCTION 1 LITERATURE REVIEW 3 1. -
Role of Solvation in Drug Design As Revealed by the Statistical Mechanics Integral Equation Theory of Liquids Norio Yoshida*
Review Cite This: J. Chem. Inf. Model. 2017, 57, 2646-2656 pubs.acs.org/jcim Role of Solvation in Drug Design as Revealed by the Statistical Mechanics Integral Equation Theory of Liquids Norio Yoshida* Department of Chemistry, Graduate School of Science, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395 Japan ABSTRACT: Recent developments and applications in theoretical methods focusing on drug design and particularly on the solvent effect in molecular recognition based on the three-dimensional reference interaction site model (3D-RISM) theory are reviewed. Molecular recognition, a fundamental molecular process in living systems, is known to be the functional mechanism of most drugs. Solvents play an essential role in molecular recognition processes as well as in ligand−protein interactions. The 3D-RISM theory is derived from the fundamental statistical mechanics theory, which reproduces all solvation thermodynamics naturally and has some advantages over conventional solvation methods, such as molecular simulation and the continuum model. Here, we review the basics of the 3D-RISM theory and methods of molecular recognition in its applications toward drug design. KEYWORDS: Drug design, Molecular recognition, Solvation, 3D-RISM ■ INTRODUCTION ΔGG=Δconf +Δ G int +Δ G solv (2) Molecular recognition is one of the most important where ΔGconf, ΔGint, and ΔGsolv denote the changes in the fundamental processes in biological systems and is known to 1 conformational energy, the interaction energy between ligand be the functional mechanism of most drugs. This is defined as a molecular process in which a ligand molecule is bound at a and protein, and the solvation free energy, respectively. -
Chapter 9 Ideal and Real Solutions
2/26/2016 CHAPTER 9 IDEAL AND REAL SOLUTIONS • Raoult’s law: ideal solution • Henry’s law: real solution • Activity: correlation with chemical potential and chemical equilibrium Ideal Solution • Raoult’s law: The partial pressure (Pi) of each component in a solution is directly proportional to the vapor pressure of the corresponding pure substance (Pi*) and that the proportionality constant is the mole fraction (xi) of the component in the liquid • Ideal solution • any liquid that obeys Raoult’s law • In a binary liquid, A-A, A-B, and B-B interactions are equally strong 1 2/26/2016 Chemical Potential of a Component in the Gas and Solution Phases • If the liquid and vapor phases of a solution are in equilibrium • For a pure liquid, Ideal Solution • ∆ ∑ Similar to ideal gas mixing • ∆ ∑ 2 2/26/2016 Example 9.2 • An ideal solution is made from 5 mole of benzene and 3.25 mole of toluene. (a) Calculate Gmixing and Smixing at 298 K and 1 bar. (b) Is mixing a spontaneous process? ∆ ∆ Ideal Solution Model for Binary Solutions • Both components obey Rault’s law • Mole fractions in the vapor phase (yi) Benzene + DCE 3 2/26/2016 Ideal Solution Mole fraction in the vapor phase Variation of Total Pressure with x and y 4 2/26/2016 Average Composition (z) • , , , , ,, • In the liquid phase, • In the vapor phase, za x b yb x c yc Phase Rule • In a binary solution, F = C – p + 2 = 4 – p, as C = 2 5 2/26/2016 Example 9.3 • An ideal solution of 5 mole of benzene and 3.25 mole of toluene is placed in a piston and cylinder assembly. -
Calculating the Partition Coefficients of Organic Solvents in Octanol/Water and Octanol/Air
Article Cite This: J. Chem. Inf. Model. XXXX, XXX, XXX−XXX pubs.acs.org/jcim Calculating the Partition Coefficients of Organic Solvents in Octanol/ Water and Octanol/Air † ‡ § ∥ Miroslava A. Nedyalkova,*, Sergio Madurga, Marek Tobiszewski, and Vasil Simeonov † Inorganic Chemistry Department, Faculty of Chemistry and Pharmacy, University of Sofia, Sofia 1164, Bulgaria ‡ Departament de Ciencià de Materials i Química Física and Institut de Química Teoricà i Computacional (IQTCUB), Universitat de Barcelona, 08028 Barcelona, Catalonia, Spain § Department of Analytical Chemistry, Faculty of Chemistry, Gdansḱ University of Technology (GUT), 80-233 Gdansk,́ Poland ∥ Analytical Chemistry Department, Faculty of Chemistry and Pharmacy, University of Sofia, Sofia 1164, Bulgaria *S Supporting Information ABSTRACT: Partition coefficients define how a solute is distributed between two immiscible phases at equilibrium. The experimental estimation of partition coefficients in a complex system can be an expensive, difficult, and time-consuming process. Here a computa- tional strategy to predict the distributions of a set of solutes in two relevant phase equilibria is presented. The octanol/water and octanol/air partition coefficients are predicted for a group of polar solvents using density functional theory (DFT) calculations in combination with a solvation model based on density (SMD) and are in excellent agreement with experimental data. Thus, the use of quantum-chemical calculations to predict partition coefficients from free energies should be a valuable alternative for unknown solvents. The obtained results indicate that the SMD continuum model in conjunction with any of the three DFT functionals (B3LYP, M06-2X, and M11) agrees with the observed experimental values. The highest correlation to experimental data for the octanol/water partition coefficients was reached by the M11 functional; for the octanol/air partition coefficient, the M06-2X functional yielded the best performance. -
9.2 Raoult's Law and Henry's
Chapter 9 The Behavior of Solutions 1 9.2 Raoult’s Law and Henry’s Law (1) Initially evacuated vessel at T liq. A (2) spontaneously evaporate until P in the vessel ° reaches the saturated vapor pressure of liq. A, p A, at T (3) a dynamic equilibrium established between the rate of evaporation of liq. A & the rate of condensation of vapor A. 2 9.2 Raoult’s Law and Henry’s Law • re(A) α the # of A atoms in the vapor phase, ° thus, rc(A) = kp A , and at equilibrium (9.1) • Similarly, pure liquid B (9.2) re(A) rc(A) liq. A 3 9.2 Raoult’s Law and Henry’s Law (A) the effect of the small addition of liquid B to liquid A Assume (1) the composition of the surface of the liquid = that of the bulk liquid, XA, (2) the sizes of A & B atoms comparable (9.3) (9.4) 4 9.2 Raoult’s Law and Henry’s Law • From (9.1) and (9.3) gives (9.5) and from (9.2) and (9.4) gives (9.6) • Raoult’s law: the vapor pressure exerted by a component i in a solution = (the mole fraction of i in the solution) X (the saturated vapor pressure of pure liquid i ) at T of the solution. 5 9.2 Raoult’s Law and Henry’s Law • Requirements: the intrinsic rates of evaporation of A and B ≠ f(comp. of the solution) i.e., the magnitudes of the A-A, B-B, and A-B bond energies in the solution are identical 6 9.2 Raoult’s Law and Henry’s Law (B) If A-B >> A-A and B-B and a solution of A in B is sufficiently dilute: A atom at the surface surrounded only by B, A in a deeper potential E well than are the A atoms at the surface of pure liq… difficult to be lifted to vapor, evaporation rate is decreased to re(A) to re’(A) 7 9.2 Raoult’s Law and Henry’s Law (9.7) re(A) > re’(A) (9.8) ’ (9.9) • A similar consideration of dilute solutions of B in A gives ’ (9.10) • (9.9),(9.10) : Henry’ law 8 9.2 Raoult’s Law and Henry’s Law Beyond a critical value of XA, re’(A) becomes composition- dependent. -
Calculation of the Water-Octanol Partition Coefficient of Cholesterol for SPC, TIP3P, and TIP4P Water
Calculation of the water-octanol partition coefficient of cholesterol for SPC, TIP3P, and TIP4P water Cite as: J. Chem. Phys. 149, 224501 (2018); https://doi.org/10.1063/1.5054056 Submitted: 29 August 2018 . Accepted: 13 November 2018 . Published Online: 11 December 2018 Jorge R. Espinosa, Charlie R. Wand, Carlos Vega , Eduardo Sanz, and Daan Frenkel COLLECTIONS This paper was selected as an Editor’s Pick ARTICLES YOU MAY BE INTERESTED IN Common microscopic structural origin for water’s thermodynamic and dynamic anomalies The Journal of Chemical Physics 149, 224502 (2018); https://doi.org/10.1063/1.5055908 Improved general-purpose five-point model for water: TIP5P/2018 The Journal of Chemical Physics 149, 224507 (2018); https://doi.org/10.1063/1.5070137 Comparison of simple potential functions for simulating liquid water The Journal of Chemical Physics 79, 926 (1983); https://doi.org/10.1063/1.445869 J. Chem. Phys. 149, 224501 (2018); https://doi.org/10.1063/1.5054056 149, 224501 © 2018 Author(s). THE JOURNAL OF CHEMICAL PHYSICS 149, 224501 (2018) Calculation of the water-octanol partition coefficient of cholesterol for SPC, TIP3P, and TIP4P water Jorge R. Espinosa,1 Charlie R. Wand,2,3 Carlos Vega,1 Eduardo Sanz,1 and Daan Frenkel2 1Departamento de Quimica Fisica, Facultad de Ciencias Quimicas, Universidad Complutense de Madrid, 28040 Madrid, Spain 2Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom 3School of Chemical Engineering and Analytical Science, University of Manchester, Manchester M13 9PL, United Kingdom (Received 29 August 2018; accepted 13 November 2018; published online 11 December 2018) We present a numerical study of the relative solubility of cholesterol in octanol and water.