Predicting the Partitioning Behavior of Various Highly Fluorinated Compounds

Arp, Hans Peter H.; Niederer, Christian; Goss, Kai-Uwe

doi:10.1021/es060744y

Cited by 236

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Predicting the Partitioning Behavior of Various Highly Fluorinated Compounds

Arp, Hans Peter H., Niederer, Christian, Goss, Kai-Uwe·2006·Environmental Science & Technology

DOI 10.1021/es060744y

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Arp et al. reported prediction errors of several orders of magnitude in Kaw by some models.
“However, no experimental data means no model calibration and validation; indeed, Arp et al.20 reported prediction errors of several orders of magnitude in Kaw by some models.”
From Experimental Determination of Air/Water Partition Coefficients for 21 Per- and Polyfluoroalkyl Substances Reveals Variable Performance of Property Prediction Models (2023) · cites this paper as [20]
Kaw prediction models have been evaluated against experimental data in the literature but only for four FTOHs and four additional PFAS so far because of the data limitation.
“Kaw prediction models have been evaluated against experimental data in the literature but only for four FTOHs20,24 and four additional PFAS13 so far because of the data limitation.”
From Experimental Determination of Air/Water Partition Coefficients for 21 Per- and Polyfluoroalkyl Substances Reveals Variable Performance of Property Prediction Models (2023) · cites this paper as [20]
In 2006, Arp et al. demonstrated similar overprediction for four FTOHs by a former version of HenryWin.
“In 2006, Arp et al.20 demonstrated similar overprediction for four FTOHs by a former version of HenryWin.”
From Experimental Determination of Air/Water Partition Coefficients for 21 Per- and Polyfluoroalkyl Substances Reveals Variable Performance of Property Prediction Models (2023) · cites this paper as Arp et al. [20]

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Research works printed but not linked: 40

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Authors: Arp, H. P. H., Niederer, C., & Goss, K.-U.
Venue: Environmental Science & Technology
Publisher: American Chemical Society (ACS)
Published: 2006-09-30
Volume: 40
Issue: 23
Pages: 7298-7304
ISSN: 0013-936X
1520-5851
DOI: 10.1021/es060744y
Cited by: 236
References: 0
Language: en

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Predicting the Partitioning Behavior of Various Highly Fluorinated Compounds

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