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Environmental Science and Pollution Research

, Volume 23, Issue 1, pp 81–97 | Cite as

Natural transformation of chlordecone into 5b-hydrochlordecone in French West Indies soils: statistical evidence for investigating long-term persistence of organic pollutants

  • Damien A. DevaultEmail author
  • Christophe Laplanche
  • Hélène Pascaline
  • Sébastien Bristeau
  • Christophe Mouvet
  • Hervé Macarie
Crop protection and environmental health: legacy management and new concepts

Abstract

Chlordecone (CLD) was an organochlorine insecticide whose previous use resulted in an extensive pollution of the environment with severe health effects and social consequences. A closely related compound, 5b-hydrochlordecone (5b-hydroCLD), has been searched for and often detected in environmental matrices from the geographical area where CLD was applied. The current consensus considered that its presence was not the result of a biotic or abiotic dechlorination of CLD in these matrices but rather the consequence of its presence as impurity (synthesis by-product) in the CLD released into the environment. The aim of the present study was to determine if and to what extent degradation of CLD into 5b-hydroCLD occurred in the field. To test this hypothesis, the ratios of 5b-hydroCLD and CLD concentrations in a dataset of 810 soils collected between 2006 and 2012 in Martinique were compared to the ratios measured in 3 samples of the CLD dust commercial formulations applied in the banana fields of French West Indies (FWI) and 1 sample of the technical-grade CLD corresponding to the active ingredient used in such formulations. Soil data were processed with a hierarchical Bayesian model to account for random measurement errors and data censoring. Any pathway of CLD transformation into 5b-hydroCLD occurring over the long term in FWI soils would indeed change the ratio of 5b-hydroCLD/CLD compared to what it was in the initially applied formulations. Results showed a significant increase of the 5b-hydroCLD/CLD ratio in the soils—25 times greater in soil than in commercial formulations—which suggested that natural CLD transformation into 5b-hydroCLD over the long term occurred in these soils. Results from this study may impact future decisions for the remediation of the polluted areas.

Keywords

Kepone Curlone Pesticides Banana Martinique Hierarchical Bayesian modelling Data censoring 

Notes

Acknowledgments

The authors thank the SIG 972 and the Direction de l’Agriculture, de l’Alimentation et de la Forêt (Agriculture, Food and Forest Agency) of Martinique (Jean Iotti) for having allowed the access to the DAAF database and their help for data mining (Valentine Troesch and Mathilde Guéné). This work would not have been possible without the samples of Curlone® preserved from destruction by Alain Soler and Christian Chabrier from Cirad, Soizig Lemoine from French West Indies University and Hélène Marie-Nely from Martinique Agricultural Council and the sample of technical grade Kepone® conserved by Michael Unger (Virginia Institute of Marine Science). H.M. thanks Alain Archelas for his help in the correct naming of the bishomocubane compounds according to the CAS nomenclature and Yoan Labrousse for useful discussions. BRGM contribution was financed by the ABACHLOR project (Mouvet et al. 2013) within the DEMICHLORD programme set up by INRA with funds from the French Ministry of Research and by the DEVCHLORDECONE project conducted on BRGM research funds

Dedication

In his 73rd year, this article is dedicated to Dr. G. Wayne Sovocool for his contributions to the use of mass spectral tools for the identification of organic pollutants. Among his achievements, he was a member of the US EPA team who 37 years ago made a breakthrough in the GC/MS analysis of chlordecone and of its mono-, di-hydro and chlordecol derivatives (see reference of Harless et al. 1978). Since then, this work remains a source of key information for those who are involved in chlordecone environmental studies. We also thank Wayne for his advice in order to improve the English of the present article.

Supplementary material

11356_2015_4865_MOESM1_ESM.doc (334 kb)
Fig. S1 Point (circles) and 95 % confidence interval (horizontal lines: CLD; vertical lines: 5b-hydroCLD) estimates for latent 5b-hydroCLD and CLD concentrations in soil computed by the HBM. Concentrations for uncensored data (green) as well as rounded data (orange) and soil samples which measured 5b-hydroCLD concentration were lower than the LOQ (DAAF: red; BRGM: blue) are represented. Oblique black lines are lines of constant 5bhydroCLD/CLD mass ratio. LOQ for CLD and 5b-hydroCLD are plotted as horizontal and vertical dashed lines (DAAF: violet; BRGM: pink). (DOC 334 kb).
11356_2015_4865_MOESM2_ESM.doc (442 kb)
Fig. S2 Point estimates for latent 5b-hydroCLD and CLD concentrations (circles) and 95 % confidence interval estimates for 5b-hydroCLD/CLD mass ratio (colored oblique lines) in soil computed by the HBM. 5b-hydroCLD/CLD mass ratio for uncensored data (green) as well as rounded data (orange) and soil samples which measured 5b-hydroCLD concentration were lower than the LOQ (DAAF: red; BRGM: blue) are represented. Oblique black lines are lines of constant 5bhydroCLD/CLD mass ratio. LOQ for CLD and 5b-hydroCLD are plotted as horizontal and vertical dashed lines (DAAF: violet; BRGM: pink). (DOC 441 kb).
11356_2015_4865_MOESM3_ESM.doc (127 kb)
Fig. S3 Extraction yields plotted as box-and-whisker plots. (for the explanation of the letter significance above the box see appendix B). (DOC 127 kb).
11356_2015_4865_MOESM4_ESM.doc (54 kb)
Appendix A (DOC 54 kb)
11356_2015_4865_MOESM5_ESM.doc (48 kb)
Appendix B (DOC 48 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Damien A. Devault
    • 1
    • 2
    Email author
  • Christophe Laplanche
    • 3
  • Hélène Pascaline
    • 1
  • Sébastien Bristeau
    • 4
  • Christophe Mouvet
    • 5
  • Hervé Macarie
    • 6
    • 7
  1. 1.EA 929 AIHP-GEODE, Groupe BiospheresUniversité des AntillesSchœlcher CedexFrance
  2. 2.Faculté de Pharmacie, UMR 8079, CNRS AgroParisTechUniv. Paris SudParisFrance
  3. 3.INP, UPS, CNRS, ECOLAB (Laboratoire Ecologie Fonctionnelle et Environnement), ENSATUniversité de ToulouseCastanet TolosanFrance
  4. 4.Division LaboratoiresBRGMOrléans CedexFrance
  5. 5.Division Eau, Environnement et EcotechnologiesBRGMOrléans CedexFrance
  6. 6.IRD, UMR IMBELamentinFrance
  7. 7.Aix Marseille Université, CNRS, IRD, Avignon Université, IMBE, UMR 7263 – IRD 237MarseilleFrance

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