Sorption and desorption rate comparisons for 1,2‐dichlorobenzene to a peat soil

Deitsch, James J.; Smith, James A.

doi:10.1002/etc.5620180814

Cited by 13 publications

(30 citation statements)

References 42 publications

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“…In one of the experiments, desorption time was extended to more than 4,000 h to assess whether the very‐slow‐desorption rate constant would change with extended desorption times. Although use of two‐ or three‐compartment models has been questioned [23], our findings showed that the very‐slow‐desorption rate constant was, indeed, constant for these desorption times. For the time interval between 1,000 and 4,000 h of purging, the decrease of ln( M t / M o ) was linear with time (the r 2 values of the linear regressions were 0.98 and 0.96 for the duplicate experiments).…”

Section: Resultsmentioning

confidence: 58%

Influence of long contact times on sediment sorption kinetics of spiked chlorinated compounds

Hulscher

Vrind

Heuvel

et al. 2005

Enviro Toxic and Chemistry

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The desorption kinetics of hexachlorobenzene (HCB) and 2,4,4'-trichlororbiphenyl (PCB 28) spiked to a field sediment were studied using a gas-purge technique. A contact time of up to 1,461 d was used to assess long-term changes in desorption kinetics. Purge-induced desorption experiments lasted from 300 to more than 4,000 h. Fast-, slow-, and very-slow-desorbing fractions could be distinguished. The desorption patterns changed with contact time from mainly fast- and slow-desorbing fractions toward the domination of slow- and very-slow-desorbing fractions. The desorption pattern for HCB after a contact time of 1,461 d became comparable to previously reported desorption patterns observed for in situ contaminants. An additional spike of HCB, PCB 28, 2,4,6-trichlorobiphenyl, and 2,2',4,5'-tetrachlorobiphenyl applied to the sediment purged for more than 4,000 h showed that very slow sites were accessible for these compounds within a few hours. Only very small fast-desorbing fractions could be detected after a contact time of just 48 h. These results indicate that domination of very slow desorption is caused not only by long contact times but, perhaps, also by the accessibility of specific sites within the sediment matrix.

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Section: Resultsmentioning

confidence: 58%

Influence of long contact times on sediment sorption kinetics of spiked chlorinated compounds

Hulscher

Vrind

Heuvel

et al. 2005

Enviro Toxic and Chemistry

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“…Typically, sorption experiments are performed to evaluate solid/liquid distribution coefficients. Sorption experiments alone cannot predict desorption behavior, because hysteresis and irreversibility commonly occur to various degrees (11,15,(33)(34)(35). Some investigators have conducted desorption experiments in an attempt to quantify the effects of desorption on mineralization of sorbed chemicals (10,66).…”

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confidence: 99%

Assessment of Bioavailability of Soil-Sorbed Atrazine

Park

Feng

et al. 2003

Appl Environ Microbiol

118

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Bioavailability of pesticides sorbed to soils is an important determinant of their environmental fate and impact. Mineralization of sorbed atrazine was studied in soil and clay slurries, and a desorption-biodegradation-mineralization (DBM) model was developed to quantitatively evaluate the bioavailability of sorbed atrazine. Three atrazine-degrading bacteria that utilized atrazine as a sole N source (Pseudomonas sp. strain ADP, Agrobacterium radiobacter strain J14a, and Ralstonia sp. strain M91-3) were used in the bioavailability assays. Assays involved establishing sorption equilibrium in sterile soil slurries, inoculating the system with organisms, and measuring the CO 2 production over time. Sorption and desorption isotherm analyses were performed to evaluate distribution coefficients and desorption parameters, which consisted of three desorption site fractions and desorption rate coefficients. Atrazine sorption isotherms were linear for mineral and organic soils but displayed some nonlinearity for K-saturated montmorillonite. The desorption profiles were well described by the three-site desorption model. In many instances, the mineralization of atrazine was accurately predicted by the DBM model, which accounts for the extents and rates of sorption/desorption processes and assumes biodegradation of liquid-phase, but not sorbed, atrazine. However, for the Houghton muck soil, which manifested the highest sorbed atrazine concentrations, enhanced mineralization rates, i.e., greater than those expected on the basis of aqueous-phase atrazine concentration, were observed. Even the assumption of instantaneous desorption could not account for the elevated rates. A plausible explanation for enhanced bioavailability is that bacteria access the localized regions where atrazine is sorbed and that the concentrations found support higher mineralization rates than predicted on the basis of aqueous-phase concentrations. Characteristics of high sorbed-phase concentration, chemotaxis, and attachment of cells to soil particles seem to contribute to the bioavailability of soil-sorbed atrazine.

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“… Cumulative distribution functions for the gamma distributions of linear‐driving‐force rate coefficients describing sorption of 1,2‐dichlorobenzene onto four natural sorbents. These are the best‐fit gamma distributions as determined by Deitsch and coworkers [9,26,27]. Table 2 shows the corresponding shape factors and scale factors.…”

Section: Application To Experimental Datamentioning

confidence: 86%

“…In previous publications, Deitsch and coworkers [9,26,27] examined the sorption and desorption of DCB by five natural sorbents: Woodburn silty sand, Picatinny sand, Picatinny peat, Army Corps of Engineers (ACE) sand, and ACE silty clay.…”

Section: Application To Experimental Datamentioning

confidence: 99%

“…One of the five sorbents, Woodburn silty sand, is not considered here because sorption experiments on Woodburn silty sand did not reach equilibrium [9]. For the other four sorbents, Table 2 lists the best‐fit values of the gamma distribution of LDF rate coefficients for DCB sorption as determined by Deitsch and coworkers [9,26,27]. Figure 1 shows the corresponding cumulative distribution functions.…”

Section: Application To Experimental Datamentioning

confidence: 99%

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Quantification of contaminant sorption‐desorption time scales from batch experiments

Cunningham

Deitsch

Smith

et al. 2005

Enviro Toxic and Chemistry

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The ability to predict rates of contaminant sorption and desorption in the environment is essential in order to determine contaminant bioavailability, predict contaminant fate and transport, and assess risk. In this paper, we present a new method to determine sorption-desorption time scales from the temporal moments of batch experimental data. Here, the term time scale has a precise meaning: Time scales are defined in terms of the parameters of kinetic sorption models. The method can be implemented with either a diffusion-based model (t(diff) = a2/15D) or a linear-driving-force model (t(LDF) = I/k) for sorption kinetics and can be implemented with either a discrete or a continuous distribution of rate parameters. Three advantages to the new method are that the time scales t(diff) or t(LDF) can be calculated directly without best-fitting the experimental data, the calculated sorption-desorption time scales are not dependent on an arbitrarily chosen distribution (e.g., the commonly used gamma or lognormal distributions), and the time scales implied by the analysis are consistent with the time scale of the actual experiment. We apply the method to previously reported experiments of 1,2-dichlorobenzene (DCB) sorption onto four natural sorbents. Comparing the newly calculated sorption-desorption time scales to those reported previously indicates a different order for the four sorbents with regard to DCB sorption rate. Further applications and limitations of the method are discussed.

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Sorption and desorption rate comparisons for 1,2‐dichlorobenzene to a peat soil

Cited by 13 publications

References 42 publications

Influence of long contact times on sediment sorption kinetics of spiked chlorinated compounds

Influence of long contact times on sediment sorption kinetics of spiked chlorinated compounds

Assessment of Bioavailability of Soil-Sorbed Atrazine

Quantification of contaminant sorption‐desorption time scales from batch experiments

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