Estimating soil/sediment partition coefficients for organic compounds by high performance reverse phase liquid chromatography

Chin, Yu‐Ping; Peven, Carole S.; Weber, Walter J.

doi:10.1016/0043-1354(88)90025-5

Cited by 31 publications

(10 citation statements)

References 47 publications

(62 reference statements)

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“…After correcting for differences in temperature, retardation factors calculated with this K d value were in very good agreement with retardation factors determined from both temporal and spatial field data. Chin et al (1988) measured a K d value for a soil collected from Michawye Michigan. This soil had a sandy character and a fractional organic carbon content of 0.0013.…”

Section: Uraniummentioning

confidence: 99%

Hanford Contaminant Distribution Coefficient Database and Users Guide

Cantrell¹,

Serne²,

Last³

2003

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This revision of PNNL-13895 is an updated version of the original document. The changes in this document include the addition of K d data for iodide and uranium that became available during fiscal year 2003. Supplementary data are also included regarding the sediment and solution characteristic used in the studies. This document compiles in a single source the K d values measured with Hanford sediment for radionuclides and toxic compounds that have the greatest potential for driving risk to human health and safety in the vadose zone and groundwater at the Hanford Site. A small number of available K d values that had limited documentation and could not be readily evaluated were excluded from this compilation. In addition to the actual K d values, all significant experimental parameters and solution and sediment characterization data associated with these K d values have been compiled and documented as part of this task. These data will be compiled and made available on a site wide database. This database will be periodically updated as new data become available.

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Section: Uraniummentioning

confidence: 99%

Hanford Contaminant Distribution Coefficient Database and Users Guide

Cantrell¹,

Serne²,

Last³

2003

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“…1, of various solutes in aqueous phase are likely to be much more significant than differences in the activity coefficients, f,:, for the same solutes in the sorbed phase (Karickhoff, 1984). Partitioning analyses of this type have been employed to relate the sorption of hydrophobic organic compounds to their partitioning behavior in octanolwater systems (Chiou et al, 1982) and their retention patterns in reverse-phase liquid chromatography systems (Chin et al, 1988).…”

Section: Hydrophobic Sorptionmentioning

confidence: 99%

Sorption phenomena in subsurface systems: Concepts, models and effects on contaminant fate and transport

1991

Self Cite

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The behavior, transport and ultimate fate of contaminants in subsurface environments may be affected significantly by their participation in sorption reactions and related phenomena. The degree to which the resulting effects can be quantified and predicted depends upon the extent to which certain fundamental aspects of sorption are understood, and upon the accuracy with which these phenomena can be characterized and modeled in complex subsurface systems. Current levels of understanding of the reactions and processes comprising sorption phenomena are discussed in this paper, as are the forms and utilities of different models used to describe them. Emphasis is placed on concept development, on the translation of these concepts into functional models for characterizing sorption rates and equilibria, and on the application of these concepts and models for explaining contaminant behavior in subsurface systems. Examples are provided to illustrate the impacts of sorption phenomena on contaminant transport.

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“…Several correlations between KO, and the retention coefficient (k' ) for a solute/stationary-phase pair, as measured by RPLC, have also been reported [4,8,9,25]. The existence of a correlation between the distribution coefficients for two systems does not necessarily mean that the mechanisms controlling phase distribution are the same.…”

Section: Introductionmentioning

confidence: 99%

Using QSAR to evaluate phenomenological models for sorption of organic compounds by soil

Brusseau

1993

Enviro Toxic and Chemistry

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The functional dependencies of equilibrium and nonequilibrium sorption parameters on solute molecular descriptors were analyzed for 29 organic compounds and two soils. Similar correlation patterns were obtained with all three evaluated size/shape descriptors (molecular surface area, van der Waals volume, molecular connectivity). The functional dependencies of equilibrium distribution coefficients on the solute molecular descriptors were analyzed for three systems used as phe‐nomenological models of sorption by soil (octanol, reversed‐phase HPLC packing material [RPLC], polymer). The correlation patterns exhibited by the three models were compared to those reported for the soil systems. The correlation patterns exhibited by the soil data were similar to the patterns exhibited by the polymer systems and dissimilar to those exhibited by the octanol and RPLC systems. In addition, the correlation pattern between the sorption rate coefficient and molecular connectivity was similar to that between polymer‐diffusion coefficients and molecular connectivity. Hence, it appears that the polymer analog may be the most appropriate of the three models for representing both equilibrium and nonequilibrium sorption by soil. Based on these results, the polymer analog is suggested as the phenomenological model of choice for investigating and evaluating the sorption dynamics of low‐polarity organic compounds in soil systems.

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Estimating soil/sediment partition coefficients for organic compounds by high performance reverse phase liquid chromatography

Cited by 31 publications

References 47 publications

Hanford Contaminant Distribution Coefficient Database and Users Guide

Hanford Contaminant Distribution Coefficient Database and Users Guide

Sorption phenomena in subsurface systems: Concepts, models and effects on contaminant fate and transport

Using QSAR to evaluate phenomenological models for sorption of organic compounds by soil

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