Kupryianchyk: Understanding bioaccumulation and biotransformation processes of high priority contaminants

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Information about Kupryianchyk: Understanding bioaccumulation and biotransformation...

Published on October 28, 2016

Author: SGU_Sverige

Source: slideshare.net

1. Understanding bioaccumulation and biotransformation processes of high priority contaminants in fiber banks sediments in the northern Baltic Seasediments in the northern Baltic Sea Darya Kupryianchyk1,*, Channa Yath1, Terry Bidleman1, Henrik Larsson2, Per Liljelind1, Agneta Andersson3, Owen Rowe3, Johan Wikner2,3, Peter Haglund1, Mats Tysklind1 1Department of Chemistry, Umeå University, Sweden 2Umeå Marine Research Center, Hörnefors, Sweden 3Department of Ecology and Environmental Science, Umeå University, Sweden *E-mail: darya.kupryianchyk@umu.se

2. Pulp and paper industry in Sweden 1. http://www.isover-technical-insulation.co.za/About-ISOVER/Reference- project/Industry-insulation-for-south-africa/Smurfit-Kappa-Kraftliner-Mill-Piteaa 2. http://www.vinnova.se/upload/EPiStorePDF/va_14_08.pdf 2 • requires the availability of water • concentrated along the coast of northern Sweden (Norrland)

3. Fiber banks areas • Rich in fiber, cellulose/lignin • Contaminated with PCBs, PAH, and other POPs • Effect of sediment properties on sorption? • What are biodegradation and ”primary source” • What are biodegradation and biotransformation processes in fiber banks sediments? 3 Secondary source

4. Objectives • sediment-to-water exchange of POPs in fiber banks sediment, • how differences in properties of contaminated• how differences in properties of contaminated sediments affect bioaccumulation and biodegradation of POPs, • Effect of species-specific traits on bioaccumulation 4

5. Sampling locations Norrbyn (reference) Örnsköldsvik 5 Kramfors

6. Bioaccumulation experiment Kramfors No biota Macoma balthica Marenzelleria spp T=28 days Climate controlled room 6 Örnsköldsvik Norrbyn (ref)

7. Chemical analysis Extraction • Sediment and biota –with toluene by accelerated solvent extractor • Pore water – with polyoxymethyene (76um) – extraction with heptane/acetone 80/20– extraction with heptane/acetone 80/20 Instrumental analysis: GC - high resolution MS with columns specific to the task: • DB5ms for quantitative work and • the cyclodextrin stationary phase CP-Chiral- Dex-CB for enantiospecific analysis. 7

8. Chemical analysis 20 40 60 80 Csed,ng/g SedimentCB180 CB153 CB138 CB118 CB101 CB52 CB28 5 10 15 20 Cpw,pg/L Pore waterCB180 CB153 CB138 CB118 CB101 CB52 CB28 CB180 • Sediment – Kramfors and Ö-vik are class V according to the Swedish classification of contaminated sediments; • pore water - high abundance of low molecular congeners, e.g. CB28, 52 and 101; 0 NOR KRA ORN 0 NOR KRA ORN 0 200 400 600 800 1000 1200 NOR KRA ORN NOR KRA ORN Mar Mac Cbiota,ng/glipids Biota CB180 CB153 CB138 CB118 CB101 CB52 CB28 • good agreement between PCB profiles in sediment and invertebrates -> sediment is a primary source of PCBs;

9. 4 6 8 10 LogKd,L/kg Log Kd vs Log Kow Örnsköldsvik Sorption 1 2 3 4 5 6 7 talorganicandinorganic carbon,%d.w. Total organic and inorganic Örnsöldsvik Kramfors Norrbyn 2 4 5,0 5,5 6,0 6,5 7,0 7,5 8,0 LogKow Kramfors Norrbyn 92 4 6 8 10 12 5,0 5,5 6,0 6,5 7,0 7,5 8,0 LogKoc,L/kg LogKow Log Koc vsLog Kow Örnsköldsvik Kramfors Norrbyn 0 1 TOC TIC Tota

10. Lignin and cellulose 0 5 10 15 20 Relativeabundance,% Lignin 20 40 60 80 100 Relativeabundance,% Cellulose 10 0 2 4 6 8 Önrsköldsvik Kramfors Norrbyn Cellulose/lignin Cellulose/lignin Önrsköldsvik Kramfors Norrbyn 0 Önrsköldsvik Kramfors Norrbyn

11. y = 0,7603x + 2,7033 R² = 0,408 y = 1,2456x + 0,6421 R² = 0,7337 4 5 6 7 8 9 10 LogBAF,LogKoc Örnsköldsvik LogBAF LogKoc Sorption to sediment OC and biota lipids y = 1,7028x - 3,648 R² = 0,7134 y = 1,1707x + 0,202 R² = 0,583 4 5 6 7 8 9 10 LogBAF,LogKoc Kramfors LogBAF LogKoc 4 5,0 5,5 6,0 6,5 7,0 7,5 8,0 Log Kow 11 LogKoc exceeded LogBAF by 1-1.5 orders of magnitude in Örnsköldsvik, however LogKoc were comparable to LogBAF in Kramfors and Norrbyn sediments. y = 1,809x - 4,2942 R² = 0,7633 y = 1,6897x - 3,8155 R² = 0,8151 4 5 6 7 8 9 10 5,0 5,5 6,0 6,5 7,0 7,5 8,0 LogBAF,LogKoc Log Kow Norrbyn LogBAF LogKoc 4 5,0 5,5 6,0 6,5 7,0 7,5 8,0 Log Kow

12. Sorption to sediment OC and biota lipids y = 1,0485x + 0,2138 R² = 0,5556 y = 1,3948x - 0,393 R² = 0,8358 4 5 6 7 8 9 10 LogBAF,LogKoc Örnsköldsvik LogBAF LogKoc y = 1,1042x + 0,3527 R² = 0,572 y = 1,2151x - 0,1794 R² = 0,7177 4 5 6 7 8 9 10 LogBAF,LogKoc Kramfors LogBAF LogKoc 12 4 5,0 5,5 6,0 6,5 7,0 7,5 8,0 Log Kow 4 5,0 5,5 6,0 6,5 7,0 7,5 8,0 Log Kow y = 1,0577x + 0,3857 R² = 0,6529 y = 1,6949x - 3,9442 R² = 0,9659 4 5 6 7 8 9 10 5,0 5,5 6,0 6,5 7,0 7,5 8,0 LogBAF,LogKoc Log Kow Norrbyn LogBAF LogKoc Similar results for Marenzelleria spp but no difference between the species

13. 0 1 2 3 LogBSAF BSAF vsLog Kow. Macoma balthica Örnsköldsvik Kramfors Norrbyn Biota to sediment accumulation factor -1 5,0 5,5 6,0 6,5 7,0 7,5 8,0 LogKow 13-2 -1 0 1 2 3 4 5,0 5,5 6,0 6,5 7,0 7,5 8,0 LogBSAF LogKow BSAF vsLog Kow. Marenzelleria spp Örnsköldsvik Kramfors Norrbyn

14. Chiral PCBs as tracers of transport and accumulation processes Primary emisions (racemic chemicals) Mix Sediment, water chemicals) Secondary emisions (nonracemic chemicals Non-racemic enantiomer proportions -> biological degradation, metabolism in soil water, organisms

15. 0,3 0,4 0,5 0,6 0,7 EF Kramfors 0,3 0,4 0,5 0,6 0,7 EF Örnsköldsvik Chiral PCBs as tracers of transport and accumulation processes 0,3 CB95 CB91 CB136 CB149 CB176 sediment pore water Macoma balthica Marenzelleria spp 0,3 CB95 CB91 CB136 CB149 CB176 sediment pore water Macoma balthica Marenzelleria spp 15 0,3 0,4 0,5 0,6 0,7 CB95 CB91 CB136 CB149 CB176 EF Norrbyn sediment pore water Macoma balthica Marenzelleria spp

16. Chiral PCBs as tracers of transport and accumulation processes • Most chiral PCBs in sediments were racemic -> recent pollution or lack of enantioselective microbial degradation • nonracemic EFs of PCB 136 in Örnsköldsvik and 91 in Kramfors indicate metabolism for these PCBs, so other PCBs may also be degrading, but not enantioselectivelymay also be degrading, but not enantioselectively • EFs in pore water should be the same as in sediment due to dynamic contaminant exchange among them • Nonrecemic EF of PCB 95 and 136 in Macoma balthica samples -> enantioselective metabolism 16

17. Acknowledgments The research was supported by the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (Formas)

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