Modelling the sorption behaviour of perfluoroalkyl carboxylates and perfluoroalkane sulfonates in soils
Open accessAbstract
A simple parametric model was developed to predict the sorption of perfluoroalkyl substances (PFASs) in soils. Initially, sorption and desorption solid-liquid distribution coefficients (Kd and Kd,des respectively) of eight PFASs (five perfluoroalkyl carboxylates, PFCAs, and three perfluoroalkane sulfonates, PFSAs) in seven soils with organic carbon (OC) content ranging from 1.6 to 41% were quantified using batch experiments. The information obtained helped to fill the gaps in a literature-based database of Kd values of PFASs, which was lacking data on soils with high OC content. The overall dataset finally comprised 435 entries. Normalized sorption coefficients for the soil OC and mineral fraction contents (KOC and KMIN respectively) were deduced for each PFAS by correlating the corresponding Kd values obtained under a wide range of experimental conditions with the fraction of organic carbon (fOC) of the soils. Furthermore, the sorption mechanisms in each phase were shown to depend mainly on PFAS chain length. The dependence of KOC and KMIN values on PFAS chain length defined the basic equations to construct the model for predicting PFAS sorption, applicable to both PFCAs and PFSAs with chain lengths ranging from 3 to 11 fluorinated carbons. The validation of the proposed model confirmed its ability to predict the Kd of PFASs based only on the soil OC and silt+clay contents and PFAS chain length. Therefore, it can be used in the first stages of a risk assessment process aiming at estimating the potential mobility of PFASs in soils after a contamination event. This study develops a new parametric model to predict the sorption of perfluoroalkyl substances (PFASs) in soils.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper assembles a 435-entry Kd database for perfluoroalkyl carboxylates and sulfonates in soils and derives a parametric model predicting Kd from PFAS fluorinated carbon number and soil organic carbon and silt+clay content. Sorption increases with chain length, with organic carbon dominating but mineral sites contributing substantially in low-OC soils.
Key findings
- Short-chained PFASs generally had Kd < 7 L kg⁻¹, mid-chained PFASs ranged from 2 to 295 L kg⁻¹, and the long-chained PFDoA reached the highest values, up to 3082 L kg⁻¹ in the KOM soil.
- The model uses Kd = KOC·fOC + KMIN·fS+C, with log KOC = 0.41 (±0.04) × number of CF2 − 0.70 (±0.30) (r² = 0.98, p < 0.001) and log KMIN = 0.32 (±0.08) × number of CF2 − 1.70 (±0.60) (r² = 0.89, p < 0.001).
- For the overall dataset, using PFAS-specific KOC and KMIN values gave log Kd,model = 0.92 (±0.05) × log Kd,exp (r² = 0.78, p < 0.001, n = 353), RMSE = 0.37, RPD = 1.94; external validation gave log Kd,model = 0.9 (±0.1) × log Kd,exp (r² = 0.76, p < 0.001, n = 121, RMSE = 0.40, RPD = 1.88).
- Mineral-site contribution was ≤3% of Kd for all PFASs in soils with OC > 10%, but in soils with OC < 2% it ranged from 20–95% for PFBS, 3–93% for PFOA, 3–90% for PFOS, and 12–13% for PFDoA.
Methods
- Batch sorption and desorption experiments were performed with seven topsoils (0–10 cm) spanning OC 1.6–41%, using 0.01 mol L⁻¹ CaCl₂ with NaN₃, 24 h shaking, duplicate samples, and LC-MS/MS quantification.
- Two Kd datasets were built: 56 entries from the authors’ experiments and 435 entries overall, including literature batch data for PFCAs and PFSAs with 3–11 fluorinated carbons.
- KOC and KMIN were derived from Kd versus fOC relationships, correlated with CF2 number, and combined into a parametric Kd model; external validation used a Kennard–Stone split of two-thirds calibration and one-third validation data.
Limitations
- Stated: the model is not intended to derive very accurate Kd values; scattering occurs for low-sorption scenarios; it is unclear how it performs for PFAS species other than PFCAs/PFSAs with 3–11 fluorinated carbons; adding more soil properties would increase complexity without enhancing its range of applications; literature data carry intrinsic variability; desorption data were scarce, so subsequent analyses focused only on sorption.
- Evident from the text: the authors’ experimental dataset is limited to seven soils and eight PFASs, and the overall literature dataset has limited entries for some PFASs such as PFDS, PFPeA, and PFHpA, with only 10 literature samples having OC > 10%.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 41 cited sources checked · 0 supported · 0 flagged
- Findingown data
The contribution of organic and mineral phases to PFAS sorption was quantified.
“The contribution of organic and mineral phases to PFAS sorption was quantified.”
Quote in the paperSubstantial claim - Findingreasoning
PFOS had higher Kd values than PFNA despite having the same number of CF2.
“Despite having the same CF 2 , PFOS had higher K d values than PFNA”
Quote in the paperSubstantial claim - Findingcitation
Short-chained PFASs (PFBA, PFBS, PFHxA) generally had Kd values below 7 L/kg, regardless of soil characteristics or PFAS functional group.
“Short-chained PFASs (PFBA, PFBS and PFHxA) generally had K d values below 7 L kg -1 , regardless of the soil characteristics or the PFAS functional group”
Quote in the paperSubstantial claim - Findingown data
Mid-chained PFASs (PFHxS, PFOA, PFOS, PFNA) had Kd values ranging from 2 to 295 L/kg depending on PFAS and soil characteristics.
“mid-chained PFASs (PFHxS, PFOA, PFOS and PFNA) had higher K d values ranging from 2 to 295 L kg -1 depending on the PFAS and the soil characteristics”
Quote in the paperSubstantial claim - Findingnone given
A parametric sorption model was designed to predict the Kd of PFASs in soils.
“A parametric sorption model was designed to predict the K d of PFASs in soils.”
Quote in the paperSubstantial claim
- Findingnone given
Sorption on soil organic and mineral fractions increased with PFAS chain length.
“Sorption on soil organic and mineral fractions increased with PFAS chain length.”
Quote in the paperSubstantial claim - Findingown data
A database of 435 Kd entries for PFASs on soils was constructed.
“A database consisting of 435 entries of K d of PFASs on soils was constructed.”
- Also stated in: § 2.7. Construction of the PFAS K d datasets · plain
“the overall dataset (which also included our experimental data) comprised 435 entries.”
Quote in the paperSubstantial claim - Also stated in: § 2.7. Construction of the PFAS K d datasets · plain
- Findingown data
Significant correlations (p < 0.05) were obtained between Kd and fOC for each PFAS for both datasets.
“Significant correlations for each PFAS (p < 0.05) were obtained between K d and f OC for both datasets.”
Quote in the paperSubstantial claim - Findingown data
When using measured K_OC and K_MIN values, RMSE and RPD values were 0.37 and 1.94, respectively.
“In that case, RMSE and RPD values were 0.37 and 1.94, respectively.”
Quote in the paperSubstantial claim- The authors state this as an assumption: PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
- The authors state this as an assumption: The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
- Findingreasoning
The ratio between K_OC and K_MIN values increased with increasing PFAS chain length.
“However, the ratio between K OC and K MIN values also increased with increasing PFAS chain length, indicating that long-chained PFASs have a higher affinity for the organic phases than mid-and short-chained PFASs.”
Quote in the paperSubstantial claim - Findingown data
The correlation between Kd and extracted amorphous Fe content was attributable to the correlation between extracted Fe and soil OC (r2 = 0.81).
“Although a preliminary overview of our results showed that K d values were correlated with extracted amorphous Fe content, this correlation might be attributed to the correlation between extracted Fe and soil OC (r 2 = 0.81) (data derived from Table 1).”
Quote in the paperSubstantial claim - Findingown data
% K_d,MIN increased with the silt+clay content, especially for the soils with OC < 2% and the short-chained PFASs.
“Thus, % K d,MIN increased with the silt+clay content, especially for the soils with OC < 2% and the short-chained PFASs.”
Quote in the paperSubstantial claim - Findingown data
Preliminary attempts to model K_d values of PFASs in soils based only on CF2 and OC led to an underestimation of K_d values in mineral soils.
“Preliminary attempts to model the K d values of PFASs in soils based only on CF 2 and OC led to an underestimation of K d values in mineral soils, thus highlighting that the mineral contribution needed to be considered in the modelling.”
Quote in the paperSubstantial claim - Findingown data
The model from the calibration data accurately predicted K_d for the validation data set (log K_d,model = 0.9 (±0.1)×logK_d,exp; r2 = 0.76, p < 0.001, n = 121, RMSE = 0.40, RPD = 1.88).
“We then used the model from the calibration data to predict K d for the validation data set, leading to an accurate prediction (log K d,model = 0.9 (±0.1)×logK d,exp ; r 2 = 0.76, p < 0.001, n = 121, RMSE = 0.40, RPD = 1.88).”
Quote in the paperSubstantial claim- The authors state this as an assumption: PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
- The authors state this as an assumption: The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
- Findingown data
Derived KMIN values of PFASs were much lower than the respective KOC values.
“Derived K MIN values of PFASs were much lower than the respective K OC values”
Quote in the paperSubstantial claim - Findingown data
The model's predictive ability increased if the K_OC and K_MIN values for each PFAS, reported in Table 3, were used in the model rather than the K_OC and K_MIN values predicted from the correlations with the number of CF2.
“The model's predictive ability increased if the K OC and K MIN values for each PFAS, reported in Table 3, were used in the model rather than the K OC and K MIN values predicted from the correlations with the number of CF 2 (log K d,model = 0.92 (±0.05) ×log K d,exp , r 2 = 0.78, p < 0.001, n = 353).”
Quote in the paperSubstantial claim- The authors state this as an assumption: PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
- The authors state this as an assumption: The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
- Findingcitation
KMIN values for PFASs with ≤5 CF2 were lower than 1.
“Besides, K MIN values for PFASs with ≤5 CF 2 were lower than 1”
Quote in the paperSubstantial claim - Findingnone given
OC sites have a higher affinity for PFAS sorption than silt+clay sites (K_OC > K_MIN).
“Although OC sites have a higher affinity for PFAS sorption than silt +clay sites (that is, K OC is higher than K MIN )”
Quote in the paperSubstantial claim - Findingcitation
KMIN values for PFOS were higher than for PFNA.
“Furthermore, K MIN values for PFOS were higher than for PFNA, in agreement with previous observations (Xiao et al., 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Xiao et al., 2011 source
Not checked in the free run.
- Findingown data
The hydrophobicity of PFASs, expressed as log Kow, increased linearly with each fluorinated carbon added to the alkyl chain (log Kow = 0.71 (±0.08) × number of CF2, r2 = 0.97, p < 0.001, n = 13).
“the hydrophobicity of the PFASs, expressed as log K OW , increased linearly with each fluorinated carbon added to the alkyl chain (log K OW = 0.71 (±0.08) × number of CF 2 , r 2 = 0.97, p < 0.001, n = 13).”
Quote in the paperSubstantial claim - Findingcitation
KOC values increased with higher PFAS hydrophobicity.
“K OC values increased with higher PFAS hydrophobicity”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Milinovic et al., 2015 source
Not checked in the free run.
- Findingown data
KOC and KMIN values derived from both experimental and literature-assembled datasets were logarithmically correlated with the number of CF2 of the PFASs.
“the K OC and K MIN values derived from both our experimental and literature-assembled datasets were logarithmically correlated with the number of CF 2 of the PFASs reported in Table S1.”
Quote in the paperSubstantial claim - Findingown data
logKMIN = 0.32 (±0.08) × number of CF2 - 1.70 (±0.60), r2 = 0.89, p < 0.001.
“logK MIN ¼ 0:32 Æ0:08 ð ÞÂnumber of CF 2 -1:70 Æ0:60 ð Þ r 2 ¼ 0:89; p < 0:001 À Áð10Þ”
Quote in the paperSubstantial claim - Findingown data
Sorption at OC sites was predominant (% K_d,MIN ≤ 3) for all the PFASs in soils with OC > 10%.
“Sorption at OC sites was predominant (% K d,MIN ≤ 3) for all the PFASs in soils with OC > 10%.”
Quote in the paperSubstantial claim - Findingown data
Low OC soils had generally low overall K_d values of PFASs.
“Despite this relatively higher PFAS affinity for mineral sites in low OC soils, we note that low OC soils had generally low overall K d values of PFASs”
Quote in the paperSubstantial claim - Findingown data
In soils with a lower OC content, especially <2%, the contribution of mineral sites (% K_d,MIN) varied significantly with the soil and PFAS properties, as the % K_d,MIN values depended on the silt+clay content (higher % K_d,MIN for higher silt+clay content).
“In soils with a lower OC content, especially <2%, the contribution of mineral sites (% K d,MIN ) varied significantly with the soil and PFAS properties, as the % K d,MIN values depended on the silt+clay content (higher % K d,MIN for higher silt+clay content).”
Quote in the paperSubstantial claim - Findingown data
logKOC = 0.41 (±0.04) × number of CF2 - 0.70 (±0.30), r2 = 0.98, p < 0.001.
“logK OC ¼ 0:41 Æ0:04 ð ÞÂnumber of CF 2 -0:70 Æ0:30 ð Þ r 2 ¼ 0:98; p < 0:001 À Áð9Þ”
Quote in the paperSubstantial claim - Findingcitation
These KMIN values are similar to the range of Kd values (2.6-14 L/kg for PFOS and 0.5-2.3 L/kg for PFOA) obtained on pure phyllosilicate minerals such as kaolinite and montmorillonite.
“These values are similar to the range of K d values (2.6-14 L kg -1 for PFOS and 0.5-2.3L kg -1 for PFOA) obtained on pure phyllosilicate minerals such as kaolinite and montmorillonite (Jeon et al., 2011;Johnson et al., 2007;Xiao et al., 2011)”
Quote in the paperSubstantial claim0 of 3 sources checked - Findingown data
K_MIN values increased with increasing PFAS chain length.
“K MIN values also increased with increasing PFAS chain length, a finding that is comparable to the K d increase reported for the C 7 -C 10 PFAS series on kaolinite clay (Xiao et al., 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Xiao et al., 2011 source
Not checked in the free run.
- Findingown data
The model's RMSE and RPD values indicated that its quality was acceptable.
“The model's RMSE and RPD values (calculated according to Section S2) indicated that its quality was acceptable.”
Quote in the paperSubstantial claim- The authors state this as an assumption: PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
- The authors state this as an assumption: The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
- Findingnone given
Soil OC content is the main parameter governing PFAS sorption.
“Although soil OC content is the main parameter governing PFAS sorption”
Quote in the paperSubstantial claim - Findingreasoning
The associated K_d of PFASs for these scenarios are very low.
“However, the associated K d of PFASs for these scenarios are very low”
Quote in the paperSubstantial claim - Interpretationown data
PFDoA has very low mobility in soils.
“indicating a very low mobility of these PFASs in soils.”
Quote in the paperSubstantial claim - Study design and conductown data
Preliminary studies revealed that PFAS sorption and desorption Kd values at 168 h were statistically comparable to those at 24 h.
“In addition, preliminary studies revealed that PFAS sorption and desorption K d values at 168 h were statistically comparable to those found at 24 h.”
Quote in the paperSubstantial claim - Interpretationcitation
PFCAs have higher mobility than PFSAs.
“confirm that PFCAs have a higher mobility than PFSAs (Sepulvado et al., 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sepulvado et al., 2011 source
Not checked in the free run.
- Interpretationown data
Sorption was favoured by greater PFAS hydrophobicity.
“indicating that sorption was favoured by greater PFAS hydrophobicity.”
Quote in the paperSubstantial claim - Study design and conductown data
Blank soil samples showed no PFASs were present in the soils prior to analysis.
“Results from the analyses of blank soil samples showed that no PFASs were present in the soils prior to the analysis.”
Quote in the paperSubstantial claim - Premisecitation
The conclusions of Li et al. (2018) were based on a dataset mostly of soils or sediments with OC <10% and very few samples with higher OC content.
“However, these conclusions were based on a data set that included mostly studies of soils or sediments with OC content <10% and very few samples of soils with higher OC content”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Li et al., 2018
Not checked in the free run.
- Premisenone given
pH and ionic strength effects on PFAS sorption to soils are minor compared to the effect of OC content.
“However, even though pH and ionic strength may play a role in the sorption process on soils under controlled scenarios, these effects are minor compared to the effect of OC content.”
Quote in the paperNot a substantial claim - Interpretationown data
The sulfonate functional group has a slightly higher sorption affinity than the carboxylate group.
“suggesting an influence of the hydrophilic functional group with a slightly higher sorption affinity of the sulfonate group than the carboxylate group.”
Quote in the paperSubstantial claim - Interpretationown data
PFAS sorption is irreversible.
“These results indicate the irreversibility of PFAS sorption and are in agreement with previous studies (Enevoldsen and Juhler, 2010;Miao et al., 2017).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Enevoldsen and Juhler, 2010
Not checked in the free run.
- cites Miao et al., 2017 source
Not checked in the free run.
- Interpretationreasoning
Mineral sites may govern PFAS sorption in mineral soils with low OC, especially in the case of short and mid-chained PFASs.
“Thus, mineral sites may govern PFAS sorption in mineral soils with low OC, especially in the case of short and mid-chained PFASs.”
Quote in the paperSubstantial claim - Premisecitation
Divalent cations may inhibit negative repulsions within the electrical double layer of the mineral surface.
“or inhibiting the negative repulsions within the electrical double layer of the mineral surface (Xiao et al., 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Xiao et al., 2011 source
Not checked in the free run.
- Premisecitation
Divalent cations may act as an intermediate bridge in electrostatic interactions between negatively charged kaolinite surface and negatively charged PFAS.
“The interaction between the negatively charged kaolinite surface and the negatively charged PFAS could be explained by the presence of divalent cations either acting as an intermediate bridge in electrostatic interactions (Du et al., 2014)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Du et al., 2014
Not checked in the free run.
- Interpretationnone given
The model may be capable of predicting approximate K_d values for categorizing scenarios with very low (K_d < 10 L kg-1), medium (K_d of 10-1000 L kg-1), and high (K_d > 1000 L kg-1) sorption.
“The model, instead, may be capable of predicting approximate K d values for categorizing scenarios with very low (K d < 10 L kg -1 ), medium (K d of 10-1000 L kg -1 ), and high (K d > 1000 L kg -1 ) sorption.”
Quote in the paperSubstantial claim- The authors state this as an assumption: PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
- The authors state this as an assumption: The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
- Interpretationreasoning
The mineral phases mainly responsible for PFAS sorption are silt and clay.
“According to the above discussion, the mineral phases mainly responsible for PFAS sorption are silt and clay.”
Quote in the paperSubstantial claim - Interpretationown data
The high quality of these correlations allowed derivation of predicted KOC and KMIN values for PFASs for which only the number of CF2 units were available.
“The high quality of these correlations allowed us to derive predicted K OC and K MIN values for PFASs for which only the number of CF 2 units were available.”
Quote in the paperSubstantial claim - Interpretationreasoning
PFASs have a higher sorption affinity to the OC sites present in the soil than to mineral sites.
“indicating that PFASs have a higher sorption affinity to the OC sites present in the soil.”
Quote in the paperSubstantial claim - Premisecitation
No correlation exists between Kd and Fe content in soils where OC is the primary driver of PFAS sorption.
“This conclusion agrees with previous studies which observed no correlation between K d and Fe content in soils where OC was the primary driver of PFAS sorption (Higgins and Luthy, 2006;Miao et al., 2017).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning
Sorption to OC was mainly driven by hydrophobic interactions.
“which strongly suggested that sorption to OC was mainly driven by hydrophobic interactions.”
Quote in the paperSubstantial claim - Premisecitation
K_d decreases along the sequence: clay > fine silt > coarse silt > fine sand > coarse sand for PFOA sorption on various soil size fractions.
“a study of PFOA sorption on various soil size fractions confirmed that K d decreases along the sequence: clay > fine silt > coarse silt > fine sand > coarse sand (Xiang et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Xiang et al., 2018 source
Not checked in the free run.
- Interpretationcitation
Sorption of short-chained PFASs is not thermodynamically favourable under systems with low ionic strength (1-10 mM).
“this is consistent with the hypothesis that sorption of short-chained PFASs is not thermodynamically favourable under systems with low ionic strength (1-10 mM) (Xiao et al., 2011)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Xiao et al., 2011 source
Not checked in the free run.
- Interpretationown data
The mineral contribution needed to be considered in modelling K_d of PFASs in soils.
“Preliminary attempts to model the K d values of PFASs in soils based only on CF 2 and OC led to an underestimation of K d values in mineral soils, thus highlighting that the mineral contribution needed to be considered in the modelling.”
Quote in the paperSubstantial claim - Interpretationreasoning
The relative amount of OC and mineral sites influences the total K_d of a given PFAS in a given soil.
“the relative amount of OC and mineral sites also influences the total K d of a given PFAS in a given soil.”
Quote in the paperSubstantial claim - Interpretationreasoning
The model cannot be applied to PFASs for which no K_OC and K_MIN data are available.
“However, this model cannot be applied to PFASs for which no K OC and K MIN data are available.”
Quote in the paperSubstantial claim- The authors state this as an assumption: PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
- The authors state this as an assumption: The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
- Interpretationown data
Long-chained PFASs have a higher affinity for the organic phases than mid- and short-chained PFASs.
“However, the ratio between K OC and K MIN values also increased with increasing PFAS chain length, indicating that long-chained PFASs have a higher affinity for the organic phases than mid-and short-chained PFASs.”
Quote in the paperSubstantial claim - Interpretationown data
In low OC soils, PFAS contamination might present a higher environmental risk.
“indicating that in these soils PFAS contamination might present a higher environmental risk.”
Quote in the paperSubstantial claim - Interpretationown data
The overall sorption behaviour of PFASs in soils of varying OC content can be estimated by modelling the relative sorption at OC and mineral sites.
“The results of the present study confirm that the overall sorption behaviour of PFASs in soils of varying OC content can be estimated by modelling the relative sorption at OC and mineral sites.”
Quote in the paperSubstantial claim- The authors state this as an assumption: PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
- The authors state this as an assumption: The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
- Interpretationreasoning
A high related PFAS mobility is expected for these scenarios.
“and therefore a high related PFAS mobility is expected.”
Quote in the paperSubstantial claim - Interpretationown data
The model presented is able to predict, with acceptable accuracy, scenarios from very low to high sorption of target PFCAs and PFSAs (with a total number of fluorinated carbons ranging from 3 to 11), based on only a few physicochemical properties of the soil (OC and silt+clay content) and the number of fluorinated carbons of the target PFAS.
“Specifically, the model presented is able to predict, with acceptable accuracy, scenarios from very low to high sorption of target PFCAs and PFSAs (with a total number of fluorinated carbons ranging from 3 to 11), based on only a few physicochemical properties of the soil (OC and silt+clay content) and the number of fluorinated carbons of the target PFAS.”
Quote in the paperSubstantial claim- The authors state this as an assumption: PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
- The authors state this as an assumption: The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
- Interpretationreasoning
The relative contribution of sorption at mineral sites can be significant when short-chained PFASs are sorbed in soils with low OC and high silt+clay content.
“the relative contribution of the sorption at mineral sites can be significant when short-chained PFASs are sorbed in soils with low OC and high silt+clay content.”
Quote in the paperSubstantial claim
- May combine two claims. 26
- Classified as probably not a substantial claim. 24
May combine two claims.
Findingown dataKd,des values were higher than corresponding Kd values for sorption, and the hysteresis coefficient (Kd,des/Kd) was larger than one in all cases.
“The K d,des values obtained are reported in Table S5 and were higher than the corresponding K d values for sorption.The hysteresis coefficient, calculated as the ratio between K d,des and K d , was therefore larger than one in all cases.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf the 222 samples obtained from literature references, 167 were soils, 171 had OC <2%, and only 10 had OC >10%.
“Of the 222 samples obtained from these references, 167 were soils, 171 had an OC content less than 2%, and only 10 had an OC content greater than 10%.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPFOS and PFOA were the two PFASs with the highest number of entries in the literature dataset, while limited data were available for other PFASs including PFDS, PFPeA and PFHpA.
“PFOS and PFOA were the two PFASs with the highest number of entries, whereas limited data were available in the literature for other PFASs, including PFDS, PFPeA and PFHpA.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone givenKOC and KMIN normalized sorption coefficients of PFASs were calculated.
“K OC and K MIN normalized sorption coefficients of PFASs were calculated.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe overall dataset comprised 435 entries, while the experimental dataset consisted of 56 entries.
“Our experimental dataset consisted of 56 entries, while the overall dataset (which also included our experimental data) comprised 435 entries.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationSorption Kd values for mid-chained PFHxS, PFOA and PFOS in this study were comparable to previously reported values and were higher than corresponding short-chain PFASs.
“The sorption K d values for the mid-chained PFHxS, PFOA and PFOS in this study were comparable to previously reported values (Higgins and Luthy, 2006;Oliver et al., 2020) and were higher than the corresponding short-chain PFASs”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
Findingown dataThe long-chained PFAS PFDoA had the highest Kd values among the PFASs tested, with a high Kd even for the low OC ALM soil.
“The long-chained PFAS, PFDoA, had the highest K d values among the PFASs tested, with a high K d even for the low OC ALM soil”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenSorption in low OC soils (exemplified by ALM soil) was lower than in the rest of soils, and in general Kd increased with OC content.
“Sorption in low OC soils, as exemplified by the ALM soil, was lower than in the rest of soils, and in general, K d increased with OC content.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe seven field soil samples had OC content ranging from 1.6 to 41%, with four samples above 25%.
“The OC content of the soil samples ranged from 1.6 to 41%; four samples having an OC content above 25%.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe correlations between KOC/KMIN and number of CF2 were significant, and both slope and y-intercept were comparable between datasets.
“The correlations were significant, and both the slope and the yintercept were comparable between datasets.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor PFOS and PFOA, the KMIN values derived from the overall dataset were 9.4 and 3.3, respectively.
“For the mid-chained PFOS and PFOA, two of the most frequently studied PFAS, the K MIN values that we derived from the overall dataset were 9.4 and 3.3 respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe predictive accuracy for the model was quite satisfactory both for our experimental data and for the overall dataset.
“The predictive accuracy for the model was quite satisfactory both for our experimental data and for the overall dataset (see Fig. 2a and b).”
Quote in the paperSubstantial claim- The authors state this as an assumption: PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
- The authors state this as an assumption: The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningScattering of data is observed for scenarios with low sorption.
“In Fig. 2b some scattering of the data is observed for scenarios with low sorption”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenOnly data for PFCAs and PFSAs containing 3 to 11 fluorinated carbons were included.
“In addition, we only included data for PFCAs and PFSAs that contained from 3 to 11 fluorinated carbons.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe pH of supernatants from sorption and desorption experiments did not differ by more than ±0.2 from the soil pH.
“The pH of the resulting supernatants from sorption and desorption experiments did not differ (±0.2) from the soil pH reported in Table 1.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataAll sorption and desorption batch experiments were performed in duplicate, with relative standard deviation between replicates approximately 20% in the worst scenarios.
“All sorption and desorption batch experiments were performed in duplicate.The relative standard deviation between replicates was approximately 20% in the worst scenarios.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe mineral phase may have a positive influence on PFAS sorption in low OC soils (<5%).
“studies exploring the sorption of PFASs on low OC soils (< 5%) have suggested that the mineral phase may have a positive influence on the sorption process (Knight et al., 2019;Martz et al., 2019).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Knight et al., 2019
Not checked in the free run.
- cites Martz et al., 2019
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationKnight et al. (2019) developed a model based on OC and soil silt and clay content that predicts PFOA sorption in soils with OC 0.1-3.5%, excluding organic soils.
“Knight et al. (2019) developed a model based on OC and soil silt and clay content, able to predict the sorption of PFOA under selected experimental conditions in soils with OC content ranging from 0.1-3.5%,thus excluding organic soils.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Knight et al. (2019)
Not checked in the free run.
May combine two claims.
Interpretationown dataMid-chained PFASs have higher sorption affinity in the examined soils and therefore lower potential mobility.
“indicating higher sorption affinity in the soils examined and therefore lower potential mobility.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenOnly studies where a Kd value could be confidently derived (linear isotherms, or non-linear with Kd in linear range, or from low initial concentration assuming no sorption saturation) were considered.
“Only studies in which a K d value could be confidently derived (i.e., linear isotherms with constant K d ; non-linear isotherms, but with the reported K d falling within the linear range of the isotherm; or K d values calculated from a low initial concentration, assuming that sorption saturation was not reached) were considered.”
Quote in the paperSubstantial claim- The authors state this as an assumption: For Kd values calculated from a low initial concentration, sorption saturation was not reached.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA mechanistic model was developed to predict sorption of PFCAs, PFSAs, and linear alkylbenzenes in sediments with OC 0.6-9.7% via electrostatic and hydrophobic interactions with organic matter.
“a mechanistic model was developed to predict the sorption of PFCAs, PFSAs, and linear alkylbenzenes in sediments with OC ranging from 0.6 to 9.7% via both electrostatic and hydrophobic interactions with the organic matter (Higgins and Luthy, 2007).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Higgins and Luthy, 2007
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSoil organic carbon content is the main parameter affecting the sorption behaviour of PFASs in sediments, with most sorption occurring via hydrophobic interactions.
“Higgins and Luthy (2006) found that soil OC content was the main parameter affecting the sorption behaviour of PFASs in sediments, suggesting that most sorption occurred via hydrophobic interactions”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Higgins and Luthy (2006) source
Not checked in the free run.
May combine two claims.
Study design and conductown dataAqueous control samples showed negligible losses for all PFASs except PFDoA, for which only 40% was recovered and results were corrected accordingly.
“Regarding aqueous control samples, negligible losses for all the PFASs were observed, except for PFDoA (see Section S1).”
- Also stated in: § 2.4. Quality control · plain
“However, for the long-chained PFDoA only 40% was recovered, and the results were corrected accordingly.”
Quote in the paperNot a substantial claim- Also stated in: § 2.4. Quality control · plain
Classified as probably not a substantial claim. May combine two claims.
PremisecitationOC alone cannot satisfactorily account for PFAS sorption, and other parameters such as soil pH and clay content should also be considered.
“A literature review evaluating the role of soil and sediment properties in the sorption of PFASs concluded that OC alone could not satisfactorily account for the sorption of PFASs and suggested that other parameters, such as soil pH and clay content, should also be considered (Li et al., 2018).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Li et al., 2018
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
PremisecitationNew experimental data are required to improve current sorption models, making them less site-specific and covering a wide variety of PFASs including short-chained species.
“Therefore, new experimental data to derive PFAS sorption parameters in a diversity of soil types are required to improve current sorption models, making them less site-specific and covering a wide variety of PFASs, including the least commonly regulated species (especially shortchained PFASs) (Sima and Jaffé, 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sima and Jaffé, 2021 source
Not checked in the free run.
May combine two claims.
Study design and conductcitationEquilibrium was reached after 24 h of shaking, in accordance with previous kinetic studies.
“After being spiked with a PFAS, tubes were shaken again at 60 rpm for 24 h to ensure that the equilibrium was reached in accordance with previous kinetic studies (Li et al., 2019;Mejia-Avendaño et al., 2020;Miao et al., 2017;Wei et al., 2017;Xiang et al., 2018;Zhi and Liu, 2018).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Li et al., 2019
Not checked in the free run.
- cites Mejia-Avendaño et al., 2020
Not checked in the free run.
- cites Miao et al., 2017
Not checked in the free run.
May combine two claims.
InterpretationcitationShort-chained PFASs have low sorption affinity in soils and potentially high mobility.
“indicating their low sorption affinity in soils and their potentially high mobility (Gellrich et al., 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gellrich et al., 2012 source
Not checked in the free run.
May combine two claims.
Study design and conductcitationKd values from the literature were included only if they originated from batch experiments, because in situ Kd values are significantly higher due to non-equilibrium nature of natural systems.
“K d values from the literature were only included in the data if they originated from batch experiments, given that K d values obtained from in situ experiments have been shown to be significantly higher due to the non-equilibrium nature of natural systems (Li et al., 2018).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Li et al., 2018
Not checked in the free run.
May combine two claims.
Premisenone givenSorption patterns in prior work were deduced mainly from PFOS and PFOA, with limited sorption data for other shorter or longer-chained PFASs in soils and sediments.
“In addition, the sorption pattern was deduced from the widely-evaluated PFASs perfluorosulfonic acid (PFOS) and perfluorooctanoic acid (PFOA), while only limited sorption data are available for other shorter or longer-chained PFASs in soils and sediments.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataBoth sorption of PFASs in the mineral and organic phases of the soil become more favourable as the PFAS chain length increases.
“Overall, these results suggest that both sorption of the PFASs in the mineral and organic phases of the soil become more favourable as the PFAS chain length increases.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe scattering for low sorption scenarios is likely attributable to weak interaction between PFAS and the solid phase and intrinsic variability due to literature-assembled data.
“likely attributable to the weak interaction between PFAS and the solid phase, in addition to the intrinsic variability due to the use of literature-assembled data.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationown dataThe model should not be used for attempting to derive very accurate K_d values of PFASs in soils.
“Nevertheless, according to the RPD values derived from the predictions of the overall dataset, we warn against the use of the model for attempting to derive very accurate K d values of PFASs in soils.”
Quote in the paperSubstantial claim- The authors state this as an assumption: PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
- The authors state this as an assumption: The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
May combine two claims.
PremisecitationExperiments testing sorption of PFASs on humic acids extracted from soils have shown that hydrophilic contributions are not predominant, confirming that hydrophobic interactions are the main sorption mechanism.
“However, experiments testing the sorption of PFASs on humic acids extracted from soils have shown that these hydrophilic contributions are not predominant, thus confirming that hydrophobic interactions are the main sorption mechanism (Xiang et al., 2018;Zhao et al., 2014).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Xiang et al., 2018
Not checked in the free run.
- cites Zhao et al., 2014
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationSoil OC, clay content, and pH all have a significant effect on the K_d of PFASs.
“Based on a multiple regression analysis, Li et al. concluded that soil OC, clay content, and pH all have a significant effect on the K d of PFASs (Li et al., 2018).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Li et al., 2018
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAdsorption enthalpy is stabilized in the presence of cations.
“Moreover, recent computational studies have identified the hydrophobic patches of montmorillonite clay as the primary adsorption domains and the stabilization of adsorption enthalpy in the presence of cations (Willemsen and Bourg, 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Willemsen and Bourg, 2021
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWang and co-workers derived silt+clay normalized sorption coefficients using a three-compartment distribution model to account for the contribution of the mineral fraction to the overall K_d.
“Indeed, Wang and co-workers derived silt+clay normalized sorption coefficients using a three-compartment distribution model to account for the contribution of the mineral fraction to the overall K d (Wang et al., 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wang et al., 2021 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHydrophobic patches of montmorillonite clay are the primary adsorption domains.
“Moreover, recent computational studies have identified the hydrophobic patches of montmorillonite clay as the primary adsorption domains and the stabilization of adsorption enthalpy in the presence of cations (Willemsen and Bourg, 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Willemsen and Bourg, 2021
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOC and the mineral silt and clay fractions contributed significantly to the sorption of PFOA in a large number of mineral soils.
“Similarly, Knight et al. found that OC and the mineral silt and clay fractions contributed significantly to the sorption of PFOA in a large number of mineral soils (Knight et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Knight et al., 2019
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe presence of calcium has positive effects on the K_d of PFASs.
“which may explain the positive effects of the presence of calcium on the K d of PFASs (Higgins and Luthy, 2006)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Higgins and Luthy, 2006 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSilt and clay fractions have a positive effect on the K_d of PFOS, PFOA and PFHxS in sediments.
“The silt and clay fractions have also been reported to have a positive effect on the K d of PFOS, PFOA and PFHxS in sediments (Oliver et al., 2020)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Oliver et al., 2020 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationIron, aluminium and titanium oxides can interact with PFASs and participate in PFAS sorption.
“iron, aluminium and titanium oxides have all been reported to be able to interact with PFASs and to participate in PFAS sorption (Lu et al., 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lu et al., 2016
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHumic substances often possess hydrophilic moieties that can interact with PFASs through mechanisms such as hydrogen bonding or divalent cation bridging.
“Humic substances, which are the main organic compounds present in the soil organic phase, often possess hydrophilic moieties that can also interact with PFASs through mechanisms such as hydrogen bonding or divalent cation bridging (Du et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Du et al., 2014
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThis information may be relevant for an early evaluation of contamination events.
“This information may be relevant for an early evaluation of contamination events.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
For Kd values calculated from a low initial concentration, sorption saturation was not reached.
“or K d values calculated from a low initial concentration, assuming that sorption saturation was not reached”
The authors state this as an assumption.
PFAS sorption in soils can be modelled as the sum of independent contributions from organic carbon and mineral (silt+clay) phases.
“Therefore, the K d of PFASs was further modelled from a separate contribution of the organic and mineral phases (K d,ORG and K d,MIN respectively), regardless of the f OC value: K d ¼ K OC f OC þ K MIN f MINð11Þ”
The authors state this as an assumption.
The sorption affinity of PFCAs and PFSAs can be described by the number of CF2 groups.
“To develop a parametric model to predict the sorption of PFCAs and PFSAs in soils based only on the number of CF 2 of PFASs and on a few physicochemical properties of the soil, we used the correlations presented in Eqs. ( 9) and ( 10) as descriptors of the sorption on the OC and mineral pool sites respectively.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Sorption of PFAS was influenced not only by chain length and hydrophobicity, but also by functional group interactions between carboxylic and sulfonic acid PFAS.
“Sorption was influenced not only by chain length and hydrophobicity, but also by functional group interactions between carboxylic and sulfonic acid PFAS.”
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Occurrence, Fate, and Related Health Risks of PFAS in Raw and Produced Drinking Water
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Assessment of PFAS Mobility in Soil–Groundwater Systems Based on Adsorption CharacteristicsPreprint
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- Authors
- Fabregat-Palau, J., Vidal, M., & Rigol, A.
- Affiliations
- Universitat de Barcelona (ES)
- Corresponding author
- Rigol, Anna
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 801
- Pages
- 149343
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W3188954002
- Cited by
- 99
- References
- 39
- Citations by year
- 2026: 31 · 2025: 22 · 2024: 16 · 2023: 15 · 2022: 14 · 2021: 1
- FWCI
- 4.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Science of The Total Environment (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, cc-by-nc-nd)
- Funders
- Gobierno de España Ministerio de Ciencia e Innovación
- Topics
- Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
- Physical Sciences › Environmental Science › Environmental Chemistry › Environmental Chemistry and Analysis
- Physical Sciences › Environmental Science › Pollution › Pesticide and Herbicide Environmental Studies
- Keywords
- perfluoroalkyl carboxylates, PFAS sorption, distribution coefficient, organic carbon content, mineral fraction, chain length dependence, desorption, risk assessment
- MeSH terms
- Alkanesulfonates, Carboxylic Acids, Fluorocarbons, Soil, Soil Pollutants
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