1
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COSMO-RS evaluation as a tool for prediction of solvents in dispersive liquid-phase microextraction: Evaluation of conventional solvents and ionic liquids as extractants. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.118861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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2
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Vilas-Boas SM, Cordova IW, Kurnia KA, Almeida HH, Gaschi PS, Coutinho JA, Pinho SP, Ferreira O. Comparison of two computational methods for solvent screening in countercurrent and centrifugal partition chromatography. J Chromatogr A 2022; 1666:462859. [DOI: 10.1016/j.chroma.2022.462859] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 01/24/2022] [Accepted: 01/25/2022] [Indexed: 01/13/2023]
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3
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Ashworth IW, Curran TT, Ford JG, Tomasi S. Prediction of N-Nitrosamine Partition Coefficients for Derisking Drug Substance Manufacturing Processes. Org Process Res Dev 2021. [DOI: 10.1021/acs.oprd.0c00535] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Ian W. Ashworth
- Chemical Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, U.K
| | - Timothy T. Curran
- Process Chemistry, Vertex Pharmaceuticals, Boston, Massachusetts, United States
| | - J. Gair Ford
- Regulatory CMC, Global Regulatory Excellence, AstraZeneca, Macclesfield, U.K
| | - Simone Tomasi
- Chemical Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, U.K
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4
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Tshepelevitsh S, Kadam SA, Darnell A, Bobacka J, Rüütel A, Haljasorg T, Leito I. LogP determination for highly lipophilic hydrogen-bonding anion receptor molecules. Anal Chim Acta 2020; 1132:123-133. [PMID: 32980103 DOI: 10.1016/j.aca.2020.07.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 07/10/2020] [Accepted: 07/13/2020] [Indexed: 01/31/2023]
Abstract
Lipophilicity, usually expressed as octanol-water partition coefficient (logPo/w), is an important property in biomedical research, drug design and technology. However, high logPo/w values of complex hydrogen-bonding molecules are not easy to measure or calculate. Exemplary problematic molecules are prospective active components (ionophores) of polymeric sensor membranes - the working elements of ion-selective electrodes. High lipophilicities of the membrane components are crucial for the sensor lifetime. In this work, lipophilicities of a wide range of urea-, carbazole- and indolocarbazole-based anion receptor molecules (some newly synthesized) and two common plasticizers were determined using a chromatography-based approach and/or the COSMO-RS method. Very high logPo/w values, up to around 20, i.e. far beyond directly experimentally accessible range, were obtained. The agreement between the two approaches ranged from very good to satisfactory. Based on these results, simple fragment-based equations were developed for quick lipophilicity estimation without any specialized software. Membrane-water partition coefficients for the studied compounds were modeled. Limitations and biases of the used methods are discussed.
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Affiliation(s)
- Sofja Tshepelevitsh
- Institute of Chemistry, University of Tartu, Ravila 14a, 50411, Tartu, Estonia
| | - Sandip A Kadam
- Institute of Chemistry, University of Tartu, Ravila 14a, 50411, Tartu, Estonia
| | - Astrid Darnell
- Institute of Chemistry, University of Tartu, Ravila 14a, 50411, Tartu, Estonia
| | - Johan Bobacka
- Åbo Akademi University, Johan Gadolin Process Chemistry Centre, Laboratory of Molecular Science and Engineering, Biskopsgatan 8, FI-20500, Turku/Åbo, Finland
| | - Alo Rüütel
- Institute of Chemistry, University of Tartu, Ravila 14a, 50411, Tartu, Estonia
| | - Tõiv Haljasorg
- Institute of Chemistry, University of Tartu, Ravila 14a, 50411, Tartu, Estonia
| | - Ivo Leito
- Institute of Chemistry, University of Tartu, Ravila 14a, 50411, Tartu, Estonia.
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5
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Heydari Dokoohaki M, Zolghadr AR, Klein A. Impact of the chemical structure on the distribution of neuroprotective N-alkyl-9H-carbazoles at octanol/water interfaces. NEW J CHEM 2020. [DOI: 10.1039/c9nj04251b] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
All-atom molecular dynamics (MD) simulations were performed on distribution and agglomeration dynamics of neuroprotective N-(3-anilinopropyl)-9H-carbazoles at octanol/water interfaces.
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Affiliation(s)
| | | | - Axel Klein
- Department of Chemistry
- Shiraz University
- Shiraz
- Iran
- Department für Chemie
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6
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Marlot L, Batteau M, Faure K. Classification of biphasic solvent systems according to Abraham descriptors for countercurrent chromatography. J Chromatogr A 2019; 1617:460820. [PMID: 31928775 DOI: 10.1016/j.chroma.2019.460820] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 12/17/2019] [Accepted: 12/18/2019] [Indexed: 11/17/2022]
Abstract
The method development of liquid-liquid chromatography, either countercurrent chromatography or centrifugal partition chromatography, is slowed down by the selection of the biphasic solvent system that constitutes its column. This paper introduces a classification of 19 solvent systems, including the most popular systems based on heptane/ethyl acetate/methanol/water, some non-aqueous systems and some greener systems. This classification is based on Abraham descriptors determined through the partition coefficients of 43 probes. Among 21 determined models, nine of them allow an accurate prediction of partition coefficients from solute descriptors and another ten provide a description of the chromatographic interactions at the 5% significance level. A graphical tool (spider diagram) is built for the comparison of the chromatographic columns previously characterized with the solvation parameter model. The position of a solvent system in this spider diagram relates to the interactions at stake, thus the selection of columns offering similar or orthogonal interactions is facilitated, with no previous knowledge of the solute required. This semi-empirical strategy cannot fully predict the retention behavior but can judiciously orientate the user towards a limited number of solvent systems to be experimentally tested.
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Affiliation(s)
- Léa Marlot
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 VILLEURBANNE, France
| | - Magali Batteau
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 VILLEURBANNE, France
| | - Karine Faure
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, F-69100 VILLEURBANNE, France.
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7
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Prediction of ethenzamide solubility in organic solvents by explicit inclusions of intermolecular interactions within the framework of COSMO-RS-DARE. J Mol Liq 2019. [DOI: 10.1016/j.molliq.2019.111163] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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8
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Lomize AL, Pogozheva ID. Physics-Based Method for Modeling Passive Membrane Permeability and Translocation Pathways of Bioactive Molecules. J Chem Inf Model 2019; 59:3198-3213. [PMID: 31259555 DOI: 10.1021/acs.jcim.9b00224] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Assessment of permeability is a critical step in the drug development process for selection of drug candidates with favorable ADME properties. We have developed a novel physics-based method for fast computational modeling of passive permeation of diverse classes of molecules across lipid membranes. The method is based on heterogeneous solubility-diffusion theory and operates with all-atom 3D structures of solutes and the anisotropic solvent model of the lipid bilayer characterized by transbilayer profiles of dielectric and hydrogen bonding capacity parameters. The optimal translocation pathway of a solute is determined by moving an ensemble of representative conformations of the molecule through the dioleoyl-phosphatidylcholine (DOPC) bilayer and optimizing their rotational orientations in every point of the transmembrane trajectory. The method calculates (1) the membrane-bound state of the solute molecule; (2) free energy profile of the solute along the permeation pathway; and (3) the permeability coefficient obtained by integration over the transbilayer energy profile and assuming a constant size-dependent diffusivity along the membrane normal. The accuracy of the predictions was evaluated against experimental permeability coefficients measured in pure lipid membranes (for 78 compounds, R2 was 0.88 and rmse was 1.15 log units), PAMPA-DS (for 280 compounds, R2 was 0.75 and rmse was 1.59 log units), BBB (for 182 compounds, R2 was 0.69 and rmse was 0.87 log units), and Caco-2/MDCK assays (for 165 compounds, R2 was 0.52 and rmse was 0.89 log units).
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Affiliation(s)
- Andrei L Lomize
- Department of Medicinal Chemistry, College of Pharmacy , University of Michigan , 428 Church Street , Ann Arbor , Michigan 48109-1065 , United States
| | - Irina D Pogozheva
- Department of Medicinal Chemistry, College of Pharmacy , University of Michigan , 428 Church Street , Ann Arbor , Michigan 48109-1065 , United States
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9
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Tshepelevitsh S, Hernits K, Leito I. Prediction of partition and distribution coefficients in various solvent pairs with COSMO-RS. J Comput Aided Mol Des 2018; 32:711-722. [PMID: 29846868 DOI: 10.1007/s10822-018-0125-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 05/25/2018] [Indexed: 01/29/2023]
Abstract
Performance of COSMO-RS method as a tool for partition and distribution modeling in 20 solvent pairs-composed of neutral or acidic aqueous solution and organic solvents of different polarity, ranging from alcohols to toluene and hexane-was evaluated. Experimental partition/distribution data of lignin-related and drug-like compounds (neutral, acidic, moderately basic) were used as reference. Several aspects of partition modeling were addressed: accounting for mutual saturation of aqueous and organic phases, variability of systematic prediction errors across solvent pairs, taking solute ionization into account. COSMO-RS was found to predict extraction outcome for both ligneous and drug-like compounds in various solvent pairs fairly well without any additional empirical input. The solvent-specific systematic errors were found to be moderate, despite being statistically significant, and related to the solvent hydrophobicity. Accounting for mutual solubilities of the two liquids was proven crucial in cases where water was considerably soluble in the organic solvent. The root mean square error of a priori logP prediction varied, depending mainly on the solvent pair, from 0.2 to 0.7, overall value being 0.6 log units. The accuracy was higher in case of hydrophilic than hydrophobic solvents. The logD predictions were less accurate, due to pKa prediction being an additional source of error, and also because of the complexity of modeling the behaviour of ionic species in the two-phase system. A simple correction for partitioning of free ions was found to notably improve logD prediction accuracy in case of the most hydrophilic organic phase (butanol/water).
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Affiliation(s)
- Sofja Tshepelevitsh
- Institute of Chemistry, University of Tartu, Ravila 14a, Tartu, 50411, Estonia
| | - Kertu Hernits
- Institute of Chemistry, University of Tartu, Ravila 14a, Tartu, 50411, Estonia
| | - Ivo Leito
- Institute of Chemistry, University of Tartu, Ravila 14a, Tartu, 50411, Estonia.
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10
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Caron G, Vallaro M, Ermondi G. High throughput methods to measure the propensity of compounds to form intramolecular hydrogen bonding. MEDCHEMCOMM 2017; 8:1143-1151. [PMID: 30108824 PMCID: PMC6071820 DOI: 10.1039/c7md00101k] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 04/25/2017] [Indexed: 12/18/2022]
Abstract
Implementation of IMHB considerations in drug discovery needs robust and validated descriptors to experimentally verify the propensity of compounds to exhibit IMHBs. The first part of the paper presents an overview of the most common techniques to measure the propensity of compounds to form IMHBs. Then we review and discuss recently proposed high throughput (HT) physicochemical descriptors (i.e. Δlog Poct-tol, EPSA and log k'80 PLRP-S) which provide the same information. Analysis of the available data enabled us to extract guidelines for the application of these descriptors in drug discovery programs.
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Affiliation(s)
- Giulia Caron
- Molecular Biotechnology and Health Sciences Dept. , University of Torino , Quarello, 15 , 10135 Torino , Italy . ; Tel: +39 011 6708337
| | - Maura Vallaro
- Molecular Biotechnology and Health Sciences Dept. , University of Torino , Quarello, 15 , 10135 Torino , Italy . ; Tel: +39 011 6708337
| | - Giuseppe Ermondi
- Molecular Biotechnology and Health Sciences Dept. , University of Torino , Quarello, 15 , 10135 Torino , Italy . ; Tel: +39 011 6708337
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11
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Brace EC, Engelberth AS. Enhancing silymarin fractionation using the conductor-like screening model for real solvents. J Chromatogr A 2017; 1487:187-193. [PMID: 28161126 DOI: 10.1016/j.chroma.2017.01.058] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 01/17/2017] [Accepted: 01/22/2017] [Indexed: 12/01/2022]
Abstract
A significant hurdle for discovery of plant-derived products is the numerous trial-and-error experiments required to develop an effective purification strategy. To overcome the experimental burden, a quantum mechanics-based molecular modeling approach - known as the COnductor-like Screening Model for Real Solvents (COSMO-RS) - was used to predict a suitable two-phase solvent system to purify six silymarins from an aqueous mixture. Silymarins, a class of flavonolignans found in milk thistle (Silybum marianum L.), are well suited for assessing the use of a molecular modeling approach to predict partitioning in a countercurrent chromatography (CCC) separation because they are well characterized and previous studies report low purity fractionation in liquid-liquid solvent systems. They also present an opportunity to evaluate the use of COSMO-RS in predicting the partitioning of structurally similar isomeric compounds that are present together in an aqueous solution upon extraction from their native source. The COSMO-RS model results predicted the partition coefficients in: three traditional ARIZONA solvent systems (composed of heptane, ethyl acetate, methanol, and water), nine additional variations of this quaternary solvent system, and two chloroform, methanol, and water solvent systems. Predicted results were concise but not accurate when compared to experimental results determined by the shake flask method. The 1:4:3:5 n-heptane:ethyl acetate:methanol:water (v/v/v/v) system was identified to be an improvement on the 1:4:3:4 system previously reported. The present study verified the ability of COSMO-RS to hone in on one or two solvent systems that will yield the best fractionation using CCC.
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Affiliation(s)
- Emma C Brace
- Department of Agricultural & Biological Engineering, Purdue University, 125 S. State St., West Lafayette, IN 47907, United States; Laboratory of Renewable Resources Engineering, Purdue University, 500 Central Dr., West Lafayette, IN 47907, United States.
| | - Abigail S Engelberth
- Department of Agricultural & Biological Engineering, Purdue University, 125 S. State St., West Lafayette, IN 47907, United States; Laboratory of Renewable Resources Engineering, Purdue University, 500 Central Dr., West Lafayette, IN 47907, United States; Environmental & Ecological Engineering, Purdue University, 500 Central Dr., West Lafayette, IN 47907, United States.
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12
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Borges NM, Kenny PW, Montanari CA, Prokopczyk IM, Ribeiro JFR, Rocha JR, Sartori GR. The influence of hydrogen bonding on partition coefficients. J Comput Aided Mol Des 2017; 31:163-181. [PMID: 28054187 DOI: 10.1007/s10822-016-0002-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 12/16/2016] [Indexed: 11/28/2022]
Abstract
This Perspective explores how consideration of hydrogen bonding can be used to both predict and better understand partition coefficients. It is shown how polarity of both compounds and substructures can be estimated from measured alkane/water partition coefficients. When polarity is defined in this manner, hydrogen bond donors are typically less polar than hydrogen bond acceptors. Analysis of alkane/water partition coefficients in conjunction with molecular electrostatic potential calculations suggests that aromatic chloro substituents may be less lipophilic than is generally believed and that some of the effect of chloro-substitution stems from making the aromatic π-cloud less available to hydrogen bond donors. Relationships between polarity and calculated hydrogen bond basicity are derived for aromatic nitrogen and carbonyl oxygen. Aligned hydrogen bond acceptors appear to present special challenges for prediction of alkane/water partition coefficients and this may reflect 'frustration' of solvation resulting from overlapping hydration spheres. It is also shown how calculated hydrogen bond basicity can be used to model the effect of aromatic aza-substitution on octanol/water partition coefficients.
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Affiliation(s)
- Nádia Melo Borges
- Grupo de Estudos em Química Medicinal - NEQUIMED, Instituto de Química de São Carlos - Universidade de São Paulo, Av. Trabalhador Sancarlense, 400, São Carlos, SP, 13566-590, Brazil
| | - Peter W Kenny
- Grupo de Estudos em Química Medicinal - NEQUIMED, Instituto de Química de São Carlos - Universidade de São Paulo, Av. Trabalhador Sancarlense, 400, São Carlos, SP, 13566-590, Brazil.
| | - Carlos A Montanari
- Grupo de Estudos em Química Medicinal - NEQUIMED, Instituto de Química de São Carlos - Universidade de São Paulo, Av. Trabalhador Sancarlense, 400, São Carlos, SP, 13566-590, Brazil
| | - Igor M Prokopczyk
- Grupo de Estudos em Química Medicinal - NEQUIMED, Instituto de Química de São Carlos - Universidade de São Paulo, Av. Trabalhador Sancarlense, 400, São Carlos, SP, 13566-590, Brazil
| | - Jean F R Ribeiro
- Grupo de Estudos em Química Medicinal - NEQUIMED, Instituto de Química de São Carlos - Universidade de São Paulo, Av. Trabalhador Sancarlense, 400, São Carlos, SP, 13566-590, Brazil
| | - Josmar R Rocha
- Grupo de Estudos em Química Medicinal - NEQUIMED, Instituto de Química de São Carlos - Universidade de São Paulo, Av. Trabalhador Sancarlense, 400, São Carlos, SP, 13566-590, Brazil
| | - Geraldo Rodrigues Sartori
- Grupo de Estudos em Química Medicinal - NEQUIMED, Instituto de Química de São Carlos - Universidade de São Paulo, Av. Trabalhador Sancarlense, 400, São Carlos, SP, 13566-590, Brazil
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13
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Fraaije JGEM, van Male J, Becherer P, Serral Gracià R. Coarse-Grained Models for Automated Fragmentation and Parametrization of Molecular Databases. J Chem Inf Model 2016; 56:2361-2377. [DOI: 10.1021/acs.jcim.6b00003] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Johannes G. E. M. Fraaije
- Leiden
Institute of Chemistry, Leiden University, Einsteinweg 55, 2300 RA Leiden, The Netherlands
- Culgi BV, Galileiweg 8, 2333 BD Leiden, The Netherlands
| | - Jan van Male
- Culgi BV, Galileiweg 8, 2333 BD Leiden, The Netherlands
| | - Paul Becherer
- Culgi BV, Galileiweg 8, 2333 BD Leiden, The Netherlands
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14
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Zhang H, Brace EC, Engelberth AS. Selection of a nonaqueous two-phase solvent system for fractionation of xylo-oligosaccharide prebiotics using a conductor-like screening model for real solvents. J LIQ CHROMATOGR R T 2016. [DOI: 10.1080/10826076.2016.1230552] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- He Zhang
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana, USA
- Laboratory of Renewable Resources Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Emma C. Brace
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana, USA
- Laboratory of Renewable Resources Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Abigail S. Engelberth
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana, USA
- Laboratory of Renewable Resources Engineering, Purdue University, West Lafayette, Indiana, USA
- Environmental and Ecological Engineering, Purdue University, West Lafayette, Indiana, USA
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15
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Mehling T, Ingram T, Storm S, Bobe U, Liu F, Michel M, Smirnova I. Estimation of LPC/water partition coefficients using molecular modeling and micellar liquid chromatography. Colloids Surf A Physicochem Eng Asp 2013. [DOI: 10.1016/j.colsurfa.2013.04.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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16
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Shalaeva M, Caron G, Abramov YA, O’Connell TN, Plummer MS, Yalamanchi G, Farley KA, Goetz GH, Philippe L, Shapiro MJ. Integrating Intramolecular Hydrogen Bonding (IMHB) Considerations in Drug Discovery Using ΔlogP As a Tool. J Med Chem 2013; 56:4870-9. [DOI: 10.1021/jm301850m] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Marina Shalaeva
- Worldwide Medicinal Chemistry, Pfizer Global Research & Development, Pfizer, Inc., Groton, Connecticut 06340, United States
| | - Giulia Caron
- Molecular Biotechnology and
Health Sciences Department, University of Torino, via Quarello 15, 10135 Torino, Italy
| | - Yuriy A. Abramov
- Worldwide Medicinal Chemistry, Pfizer Global Research & Development, Pfizer, Inc., Groton, Connecticut 06340, United States
| | - Thomas N. O’Connell
- Worldwide Medicinal Chemistry, Pfizer Global Research & Development, Pfizer, Inc., Groton, Connecticut 06340, United States
| | - Mark S. Plummer
- Worldwide Medicinal Chemistry, Pfizer Global Research & Development, Pfizer, Inc., Groton, Connecticut 06340, United States
| | - Geeta Yalamanchi
- Worldwide Medicinal Chemistry, Pfizer Global Research & Development, Pfizer, Inc., Groton, Connecticut 06340, United States
| | - Kathleen A. Farley
- Worldwide Medicinal Chemistry, Pfizer Global Research & Development, Pfizer, Inc., Groton, Connecticut 06340, United States
| | - Gilles H. Goetz
- Worldwide Medicinal Chemistry, Pfizer Global Research & Development, Pfizer, Inc., Groton, Connecticut 06340, United States
| | - Laurence Philippe
- Worldwide Medicinal Chemistry, Pfizer Global Research & Development, Pfizer, Inc., Groton, Connecticut 06340, United States
| | - Michael J. Shapiro
- Worldwide Medicinal Chemistry, Pfizer Global Research & Development, Pfizer, Inc., Groton, Connecticut 06340, United States
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17
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ClogPalk: a method for predicting alkane/water partition coefficient. J Comput Aided Mol Des 2013; 27:389-402. [DOI: 10.1007/s10822-013-9655-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2013] [Accepted: 05/18/2013] [Indexed: 12/20/2022]
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18
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Mehling T, Ingram T, Smirnova I. Experimental methods and prediction with COSMO-RS to determine partition coefficients in complex surfactant systems. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2012; 28:118-124. [PMID: 22091584 DOI: 10.1021/la2028274] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Surfactant-based separation processes are a promising alternative to conventional organic solvent processes. A crucial parameter to describe the efficiency of such processes is the partition coefficient between the surfactant aggregates (micelles) and the aqueous bulk phase. In this work, several experimental methods to determine these partition coefficients (micellar liquid chromatography, micellar enhanced ultrafiltration, and cloud point extraction) are evaluated and compared. In addition, these results are compared to predictions with the thermodynamic model COSMO-RS. In particular, systems with the nonionic surfactant TritonX-100 are studied. The partition equilibria of various solutes (pyrene, naphthalene, phenanthrene, phenol, 3-methoxyphenol, and vanillin) and the influence of different additives (alcohols) are investigated. All experimental methods show very good reproducibility. Moreover, the results from different methods are in good agreement, supplementing one another concerning the temperature ranges. Notably, the COSMO-RS model is capable of predicting partition coefficients between micelles and water in the investigated temperature range and at different alcohol concentrations. The results demonstrate the potential of the model COSMO-RS to facilitate the selection of optimized process parameters for a given separation problem. By predicting partition equilibria in multicomponent systems, the selection of surfactant, temperature, and appropriate additives can be facilitated.
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Affiliation(s)
- Tanja Mehling
- Institute of Thermal Separation Processes, Hamburg University of Technology, Hamburg 21073, Germany.
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19
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Hopmann E, Arlt W, Minceva M. Solvent system selection in counter-current chromatography using conductor-like screening model for real solvents. J Chromatogr A 2011; 1218:242-50. [DOI: 10.1016/j.chroma.2010.11.018] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2010] [Revised: 09/08/2010] [Accepted: 11/10/2010] [Indexed: 11/16/2022]
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20
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Wille S, Buggert M, Mokrushina L, Arlt W, Smirnova I. Effect of Electrolytes on Octanol-Water Partition Coefficients: Calculations with COSMO-RS. Chem Eng Technol 2010. [DOI: 10.1002/ceat.201000045] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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