Literature DB >> 15113070

Predicting the biodegradation products of perfluorinated chemicals using CATABOL.

S Dimitrov1, V Kamenska, J D Walker, W Windle, R Purdy, M Lewis, O Mekenyan.   

Abstract

Perfluorinated chemicals (PFCs) form a special category of organofluorine compounds with particularly useful and unique properties. Their large use over the past decades increased the interest in the study of their environmental fate. Fluorocarbons may have direct or indirect environmental impact through the products of their decomposition in the environment. It is a common knowledge that biodegradation is restricted within non-perfluorinated part of molecules: however, a number of studies showed that defluorination can readily occur during biotransformation. To evaluate the fate of PFCs in the environment a set of principal transformations was developed and implemented in the simulator of microbial degradation using the catabolite software engine (CATABOL). The simulator was used to generate metabolic pathways for 171 perfluorinated substances on Canada's domestic substances list. It was found that although the extent of biodegradation of parent compounds could reach 60%, persistent metabolites could be formed in significant quantities. During the microbial degradation a trend was observed where PFCs are transformed to more bioaccumulative and more toxic products. Perfluorooctanoic acid and perfluorooctanesulfonate were predicted to be the persistent biodegradation products of 17 and 27% of the perfluorinated sulphonic acid and carboxylic acid containing compounds, respectively.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15113070     DOI: 10.1080/1062936032000169688

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  9 in total

Review 1.  A review on progress in QSPR studies for surfactants.

Authors:  Jiwei Hu; Xiaoyi Zhang; Zhengwu Wang
Journal:  Int J Mol Sci       Date:  2010-03-08       Impact factor: 6.208

2.  Metabolite and reaction inference based on enzyme specificities.

Authors:  M J L de Groot; R J P van Berlo; W A van Winden; P J T Verheijen; M J T Reinders; D de Ridder
Journal:  Bioinformatics       Date:  2009-08-20       Impact factor: 6.937

3.  Perfluorinated compounds are related to breast cancer risk in Greenlandic Inuit: a case control study.

Authors:  Eva C Bonefeld-Jorgensen; Manhai Long; Rossana Bossi; Pierre Ayotte; Gert Asmund; Tanja Krüger; Mandana Ghisari; Gert Mulvad; Peder Kern; Peter Nzulumiki; Eric Dewailly
Journal:  Environ Health       Date:  2011-10-06       Impact factor: 5.984

4.  Estrogen-like properties of fluorotelomer alcohols as revealed by mcf-7 breast cancer cell proliferation.

Authors:  Marleen Maras; Caroline Vanparys; Frederik Muylle; Johan Robbens; Urs Berger; Jonathan L Barber; Ronny Blust; Wim De Coen
Journal:  Environ Health Perspect       Date:  2006-01       Impact factor: 9.031

5.  The University of Minnesota Biocatalysis/Biodegradation Database: the first decade.

Authors:  Lynda B M Ellis; Dave Roe; Lawrence P Wackett
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

6.  Breast cancer risk after exposure to perfluorinated compounds in Danish women: a case-control study nested in the Danish National Birth Cohort.

Authors:  Eva C Bonefeld-Jørgensen; Manhai Long; Stine Overvad Fredslund; Rossana Bossi; Jørn Olsen
Journal:  Cancer Causes Control       Date:  2014-08-23       Impact factor: 2.506

Review 7.  Biomonitoring and hormone-disrupting effect biomarkers of persistent organic pollutants in vitro and ex vivo.

Authors:  Eva C Bonefeld-Jørgensen; Mandana Ghisari; Maria Wielsøe; Christian Bjerregaard-Olesen; Lisbeth S Kjeldsen; Manhai Long
Journal:  Basic Clin Pharmacol Toxicol       Date:  2014-05-29       Impact factor: 4.080

Review 8.  Remediation of poly- and perfluoroalkyl substances (PFAS) contaminated soils - To mobilize or to immobilize or to degrade?

Authors:  Nanthi Bolan; Binoy Sarkar; Yubo Yan; Qiao Li; Hasintha Wijesekara; Kurunthachalam Kannan; Daniel C W Tsang; Marina Schauerte; Julian Bosch; Hendrik Noll; Yong Sik Ok; Kirk Scheckel; Jurate Kumpiene; Kapish Gobindlal; Melanie Kah; Jonathan Sperry; M B Kirkham; Hailong Wang; Yiu Fai Tsang; Deyi Hou; Jörg Rinklebe
Journal:  J Hazard Mater       Date:  2020-09-09       Impact factor: 10.588

9.  The University of Minnesota pathway prediction system: predicting metabolic logic.

Authors:  Lynda B M Ellis; Junfeng Gao; Kathrin Fenner; Lawrence P Wackett
Journal:  Nucleic Acids Res       Date:  2008-06-04       Impact factor: 16.971

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.