scholarly journals The high persistence of PFAS is sufficient for their management as a chemical class

2020 ◽  
Vol 22 (12) ◽  
pp. 2307-2312
Author(s):  
Ian T. Cousins ◽  
Jamie C. DeWitt ◽  
Juliane Glüge ◽  
Gretta Goldenman ◽  
Dorte Herzke ◽  
...  

While per- and polyfluoroalkyl substances (PFAS) are a class of synthetic organic substances with diverse structures, properties, uses, bioaccumulation potentials and toxicities, nearly all PFAS are highly persistent.

2020 ◽  
Author(s):  
Ian Cousins ◽  
Jamie C. DeWitt ◽  
Rainer Lohmann ◽  
Juliane Glüge ◽  
Gretta Goldenman ◽  
...  

Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic organic substances with diverse structures, properties, uses, bioaccumulation potentials and toxicities. Despite this high diversity, all PFAS are alike in that they contain perfluoroalkyl moieties that are extremely resistant to environmental and metabolic degradation. PFAS are therefore either non-degradable or transform ultimately into stable terminal transformation products (which are still PFAS). Under the European chemicals regulation this classifies all PFAS as very persistent substances (vP). We argue that this high persistence is sufficient concern for their management as a chemical class, and for all “non-essential” uses of PFAS to be phased out. The continual release of highly persistent PFAS will result in increasing concentrations and increasing probabilities of the occurrence of known and unknown effects. Once adverse effects are identified the exposure and associated effects will not be easily reversible. Reversing PFAS contamination will be technically challenging, energy intensive, and costly for society, as is evident in the efforts to remove PFAS from contaminated land and drinking water.


1884 ◽  
Vol 18 (445supp) ◽  
pp. 7103-7104
Author(s):  
Otto Schnurrer
Keyword(s):  

2004 ◽  
Vol 35 (5-6) ◽  
pp. 387-392
Author(s):  
V. A. Borodulya ◽  
L. M. Vinogradov ◽  
S. A. Zhdanok ◽  
A. V. Krauklis

2020 ◽  
Author(s):  
Azhagiya Singam Ettayapuram Ramaprasad ◽  
Phum Tachachartvanich ◽  
Denis Fourches ◽  
Anatoly Soshilov ◽  
Jennifer C.Y. Hsieh ◽  
...  

Perfluoroalkyl and Polyfluoroalkyl Substances (PFASs) pose a substantial threat as endocrine disruptors, and thus early identification of those that may interact with steroid hormone receptors, such as the androgen receptor (AR), is critical. In this study we screened 5,206 PFASs from the CompTox database against the different binding sites on the AR using both molecular docking and machine learning techniques. We developed support vector machine models trained on Tox21 data to classify the active and inactive PFASs for AR using different chemical fingerprints as features. The maximum accuracy was 95.01% and Matthew’s correlation coefficient (MCC) was 0.76 respectively, based on MACCS fingerprints (MACCSFP). The combination of docking-based screening and machine learning models identified 29 PFASs that have strong potential for activity against the AR and should be considered priority chemicals for biological toxicity testing.


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