scholarly journals Pervaporation of organic compounds from aqueous mixtures using polydimethylsiloxane-containing block copolymer membranes

AIChE Journal ◽  
2015 ◽  
Vol 61 (9) ◽  
pp. 2789-2794 ◽  
Author(s):  
Douglas R. Greer ◽  
A. Evren Ozcam ◽  
Nitash P. Balsara
Keyword(s):  
Block Copolymer ◽  
Organic Compounds ◽  
Aqueous Mixtures

Spontaneous formation of nanometer scale tubular vesicles in aqueous mixtures of lipid and block copolymer amphiphiles

Soft Matter ◽  
2017 ◽  
Vol 13 (6) ◽  
pp. 1107-1115 ◽  
Author(s):  
Seng Koon Lim ◽  
Andrew S. W. Wong ◽  
Hans-Peter M. de Hoog ◽  
Padmini Rangamani ◽  
Atul N. Parikh ◽  
...  
Keyword(s):  
Block Copolymer ◽  
Nanometer Scale ◽  
Aqueous Mixtures ◽  
Spontaneous Formation

Separation of Low-Molecular Organic Compounds from Complex Aqueous Mixtures by Extraction

1990 ◽  
pp. 238-244 ◽  
Author(s):  
K. Schügerl ◽  
W. Degener ◽  
P. v. Frieling ◽  
L. Handojo ◽  
I. Kirgios
Keyword(s):  
Organic Compounds ◽  
Aqueous Mixtures

scholarly journals Modeling the surface tension of complex, reactive organic–inorganic mixtures

2013 ◽  
Vol 13 (21) ◽  
pp. 10721-10732 ◽  
Author(s):  
A. N. Schwier ◽  
G. A. Viglione ◽  
Z. Li ◽  
V. Faye McNeill
Keyword(s):  
Surface Tension ◽  
Organic Compounds ◽  
Atmospheric Aerosols ◽  
Goodness Of Fit ◽  
Cloud Droplet ◽  
Aqueous Mixtures ◽  
Surface Tension Data ◽  
Inorganic Systems ◽  
Experimental Surface ◽  
Using Data

Abstract. Atmospheric aerosols can contain thousands of organic compounds which impact aerosol surface tension, affecting aerosol properties such as heterogeneous reactivity, ice nucleation, and cloud droplet formation. We present new experimental data for the surface tension of complex, reactive organic–inorganic aqueous mixtures mimicking tropospheric aerosols. Each solution contained 2–6 organic compounds, including methylglyoxal, glyoxal, formaldehyde, acetaldehyde, oxalic acid, succinic acid, leucine, alanine, glycine, and serine, with and without ammonium sulfate. We test two semi-empirical surface tension models and find that most reactive, complex, aqueous organic mixtures which do not contain salt are well described by a weighted Szyszkowski–Langmuir (S-L) model which was first presented by Henning et al. (2005). Two approaches for modeling the effects of salt were tested: (1) the Tuckermann approach (an extension of the Henning model with an additional explicit salt term), and (2) a new implicit method proposed here which employs experimental surface tension data obtained for each organic species in the presence of salt used with the Henning model. We recommend the use of method (2) for surface tension modeling of aerosol systems because the Henning model (using data obtained from organic–inorganic systems) and Tuckermann approach provide similar modeling results and goodness-of-fit (χ2) values, yet the Henning model is a simpler and more physical approach to modeling the effects of salt, requiring less empirically determined parameters.

Pluronic Block Copolymer-Mediated Interactions of Organic Compounds with Noble Metal Nanoparticles for SERS Analysis

Langmuir ◽  
2010 ◽  
Vol 26 (7) ◽  
pp. 5153-5159 ◽  
Author(s):  
Timur I. Abdullin ◽  
Oxana V. Bondar ◽  
Yu. G. Shtyrlin ◽  
Mehmet Kahraman ◽  
Mustafa Culha
Keyword(s):  
Block Copolymer ◽  
Metal Nanoparticles ◽  
Organic Compounds ◽  
Noble Metal ◽  
Noble Metal Nanoparticles ◽  
Pluronic Block Copolymer

scholarly journals Effect of temperature on the association behavior in aqueous mixtures of an oppositely charged amphiphilic block copolymer and bile salt

Polymer ◽  
2020 ◽  
Vol 206 ◽  
pp. 122871
Author(s):  
Guanqun Du ◽  
Alessandra Del Giudice ◽  
Viveka Alfredsson ◽  
Anna M. Carnerup ◽  
Nicolae V. Pavel ◽  
...  
Keyword(s):  
Block Copolymer ◽  
Bile Salt ◽  
Amphiphilic Block Copolymer ◽  
Effect Of Temperature ◽  
Aqueous Mixtures ◽  
Association Behavior ◽  
Oppositely Charged

scholarly journals New and extended parameterization of the thermodynamic model AIOMFAC: calculation of activity coefficients for organic-inorganic mixtures containing carboxyl, hydroxyl, carbonyl, ether, ester, alkenyl, alkyl, and aromatic functional groups

2011 ◽  
Vol 11 (17) ◽  
pp. 9155-9206 ◽  
Author(s):  
A. Zuend ◽  
C. Marcolli ◽  
A. M. Booth ◽  
D. M. Lienhard ◽  
V. Soonsin ◽  
...  
Keyword(s):  
Liquid Phase ◽  
Functional Groups ◽  
Organic Compounds ◽  
Activity Coefficients ◽  
Atmospheric Aerosols ◽  
Atmospheric Chemistry ◽  
Inorganic Ions ◽  
Aqueous Mixtures ◽  
Organic Functional Groups ◽  
Ether Ester

Abstract. We present a new and considerably extended parameterization of the thermodynamic activity coefficient model AIOMFAC (Aerosol Inorganic-Organic Mixtures Functional groups Activity Coefficients) at room temperature. AIOMFAC combines a Pitzer-like electrolyte solution model with a UNIFAC-based group-contribution approach and explicitly accounts for interactions between organic functional groups and inorganic ions. Such interactions constitute the salt-effect, may cause liquid-liquid phase separation, and affect the gas-particle partitioning of aerosols. The previous AIOMFAC version was parameterized for alkyl and hydroxyl functional groups of alcohols and polyols. With the goal to describe a wide variety of organic compounds found in atmospheric aerosols, we extend here the parameterization of AIOMFAC to include the functional groups carboxyl, hydroxyl, ketone, aldehyde, ether, ester, alkenyl, alkyl, aromatic carbon-alcohol, and aromatic hydrocarbon. Thermodynamic equilibrium data of organic-inorganic systems from the literature are critically assessed and complemented with new measurements to establish a comprehensive database. The database is used to determine simultaneously the AIOMFAC parameters describing interactions of organic functional groups with the ions H+, Li+, Na+, K+, NH4+, Mg2+, Ca2+, Cl−, Br−, NO3−, HSO4−, and SO42−. Detailed descriptions of different types of thermodynamic data, such as vapor-liquid, solid-liquid, and liquid-liquid equilibria, and their use for the model parameterization are provided. Issues regarding deficiencies of the database, types and uncertainties of experimental data, and limitations of the model, are discussed. The challenging parameter optimization problem is solved with a novel combination of powerful global minimization algorithms. A number of exemplary calculations for systems containing atmospherically relevant aerosol components are shown. Amongst others, we discuss aqueous mixtures of ammonium sulfate with dicarboxylic acids and with levoglucosan. Overall, the new parameterization of AIOMFAC agrees well with a large number of experimental datasets. However, due to various reasons, for certain mixtures important deviations can occur. The new parameterization makes AIOMFAC a versatile thermodynamic tool. It enables the calculation of activity coefficients of thousands of different organic compounds in organic-inorganic mixtures of numerous components. Models based on AIOMFAC can be used to compute deliquescence relative humidities, liquid-liquid phase separations, and gas-particle partitioning of multicomponent mixtures of relevance for atmospheric chemistry or in other scientific fields.

scholarly journals New and extended parameterization of the thermodynamic model AIOMFAC: calculation of activity coefficients for organic-inorganic mixtures containing carboxyl, hydroxyl, carbonyl, ether, ester, alkenyl, alkyl, and aromatic functional groups

2011 ◽  
Vol 11 (5) ◽  
pp. 15297-15416 ◽  
Author(s):  
A. Zuend ◽  
C. Marcolli ◽  
A. M. Booth ◽  
D. M. Lienhard ◽  
V. Soonsin ◽  
...  
Keyword(s):  
Liquid Phase ◽  
Functional Groups ◽  
Organic Compounds ◽  
Activity Coefficients ◽  
Atmospheric Aerosols ◽  
Atmospheric Chemistry ◽  
Inorganic Ions ◽  
Aqueous Mixtures ◽  
Organic Functional Groups ◽  
Ether Ester

Abstract. We present a new and considerably extended parameterization of the thermodynamic activity coefficient model AIOMFAC (Aerosol Inorganic-Organic Mixtures Functional groups Activity Coefficients) at room temperature. AIOMFAC combines a Pitzer-like electrolyte solution model with a UNIFAC-based group-contribution approach and explicitly accounts for interactions between organic functional groups and inorganic ions. Such interactions constitute the salt-effect, may cause liquid-liquid phase separation, and affect the gas-particle partitioning of aerosols. The previous AIOMFAC version was parameterized for alkyl and hydroxyl functional groups of alcohols and polyols. With the goal to describe a wide variety of organic compounds found in atmospheric aerosols, we extend here the parameterization of AIOMFAC to include the functional groups carboxyl, hydroxyl, ketone, aldehyde, ether, ester, alkenyl, alkyl, aromatic carbon-alcohol, and aromatic hydrocarbon. Thermodynamic equilibrium data of organic-inorganic systems from the literature are critically assessed and complemented with new measurements to establish a comprehensive database. The database is used to determine simultaneously the AIOMFAC parameters describing interactions of organic functional groups with the ions H+, Li+, Na+, K+, NH4+, Mg2+, Ca2+, Cl−, Br−, NO3−, HSO4−, and SO42−. Detailed descriptions of different types of thermodynamic data, such as vapor-liquid, solid-liquid, and liquid-liquid equilibria, and their use for the model parameterization are provided. Issues regarding deficiencies of the database, types and uncertainties of experimental data, and limitations of the model, are discussed. The challenging parameter optimization problem is solved with a novel combination of powerful global minimization algorithms. A number of exemplary calculations for systems containing atmospherically relevant aerosol components are shown. Amongst others, we discuss aqueous mixtures of ammonium sulfate with dicarboxylic acids and with levoglucosan. Overall, the new parameterization of AIOMFAC agrees well with a large number of experimental datasets. However, due to various reasons, for certain mixtures important deviations can occur. The new parameterization makes AIOMFAC a versatile thermodynamic tool. It enables the calculation of activity coefficients of thousands of different organic compounds in organic-inorganic mixtures of numerous components. Models based on AIOMFAC can be used to compute deliquescence relative humidities, liquid-liquid phase separations, and gas-particle partitioning of multicomponent mixtures of relevance for atmospheric chemistry or in other scientific fields.

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