Study of the Effect of Mobile Phase Additives on Retention in Reversed Phase HPLC Using Linear Solvation Energy Relationships

Blackwell, John A.; Carr, Peter W.

doi:10.1002/(sici)1521-4168(19980801)21:8<427::aid-jhrc427>3.0.co;2-3

Cited by 18 publications

(3 citation statements)

References 25 publications

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“…For examining different types of interactions, a linear solvation energy relationship (LSER) model of the retention process can be used [21][22][23][24][25][26]. In this technique, retention is taken to be due to the sum of a variety of intermolecular interactions.…”

Section: Differences In Selectivitymentioning

confidence: 99%

Comparison of retention on traditional alkyl, polar endcapped, and polar embedded group stationary phases

Coym¹

2008

J of Separation Science

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Comparison of retention on traditional alkyl, polar endcapped, and polar embedded group stationary phasesThe development of new RP stationary phases containing polar groups has provided the chromatographer with a variety of stationary phase choices with differing selectivities. Polar endcapped and polar embedded group stationary phases have found use in solving a wide variety of separation problems, especially for the efficient separation of organic bases as well as separations necessitating the use of highly aqueous mobile phases. In this report, the retention thermodynamics of small, nonpolar solutes on traditional alkyl, polar endcapped, and polar embedded group stationary phases are compared. It is found that the nonpolar (methylene) transfer enthalpy is less favorable when polar embedded group phases are used, when compared to traditional or polar endcapped phases. In contrast, the transfer enthalpy of a phenyl group is found to be more favorable when a polar endcapped phase is used. In addition, the retention characteristics of these phases are compared using a set of solutes with differing solvatochromic parameters. Hydrogen-bond acids appear to have enhanced retention on polar embedded group phases, while hydrogen-bond bases have enhanced retention on polar endcapped phases.

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Section: Differences In Selectivitymentioning

confidence: 99%

Comparison of retention on traditional alkyl, polar endcapped, and polar embedded group stationary phases

Coym¹

2008

J of Separation Science

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“…As the LSER model has been used extensively to characterize the effects of mobile phase modifier and stationary phases in high‐performance liquid chromatography,10–16 many researchers began to study the role of mobile phase additives such as surfactants and acidic and basic additives on chromatographic efficiency, peak shape, and retention factors using this model 17–21…”

Section: Introductionmentioning

confidence: 99%

Use of linear solvation energy relationships for chromatographic retention of seven solutes in different mobile phases

Han

Tian

Row

2011

Asia-Pacific J Chem Eng

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The linear solvation energy relationship (LSER) model was utilized to delineate which specific intermolecular interactions are responsible for changes in retention for a variety of well-characterized analytes when different additives were used in reversed-phase high-performance liquid chromatography. The effects of additives such as organic [sodium dodecyl sulfate (SDS), cetyltrimethylammonium bromide (CTAB)] and inorganic [sodium dihydrogen phosphate (NaH 2 PO 4 ), disodium hydrogen phosphate (Na 2 HPO 4 )] salts with 30-50% (v/v) acetonitrile (ACN) on the LSER coefficients were studied. The ability of the LSER model to account for the chemical interactions underlying solute retention was demonstrated. LSER as a potential predictive tool can direct us to choose proper mobile phase additive to separate different kinds of compounds. 

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“…The coefficients are found by multiple linear regression analysis (MLRA) for a series of log SP values for VOCs with known descriptors. Numerous properties have been examined through eqs 1 and 2, and coefficients have been established for a wide range of gassolvent partitions (16)(17)(18)(19)(20)(21)(22)(23), water-solvent partitions (20,21,(24)(25)(26), and many other transport properties (27)(28)(29)(30)(31)(32)(33)(34).…”

Section: Introductionmentioning

confidence: 99%

Partition of Volatile Organic Compounds from Air and from Water into Plant Cuticular Matrix: An LFER Analysis

Platts

Abraham

1999

Environ. Sci. Technol.

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The partitioning of organic compounds between air and foliage and between water and foliage is of considerable environmental interest. The purpose of this work is to show that partitioning into the cuticular matrix of one particular species can be satisfactorily modeled by general equations we have previously developed and, hence, that the same general equations could be used to model partitioning into other plant materials of the same or different species. The general equations are linear free energy relationships that employ descriptors for polarity/polarizability, hydrogen bond acidity and basicity, dispersive effects, and volume. They have been applied to the partition of 62 very varied organic compounds between cuticular matrix of the tomato fruit, Lycopersicon esculentum, and either air (MX a ) or water (MX w ). Values of log MX a covering a range of 12.4 log units are correlated with a standard deviation of 0.232 log unit, and values of log MX w covering a range of 7.6 log unit are correlated with an SD of 0.236 log unit. Possibilities are discussed for the prediction of new air-plant cuticular matrix and water-plant cuticular matrix partition values on the basis of the equations developed.

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Study of the Effect of Mobile Phase Additives on Retention in Reversed Phase HPLC Using Linear Solvation Energy Relationships

Cited by 18 publications

References 25 publications

Comparison of retention on traditional alkyl, polar endcapped, and polar embedded group stationary phases

Comparison of retention on traditional alkyl, polar endcapped, and polar embedded group stationary phases

Use of linear solvation energy relationships for chromatographic retention of seven solutes in different mobile phases

Partition of Volatile Organic Compounds from Air and from Water into Plant Cuticular Matrix: An LFER Analysis

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