, foppe smedes , tatsiana rusina , ian allan , merete ... · 6550 qtof solutions bioassay battery...
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SETAC Europe, Barcelona, May 2015
Branislav Vrana1, Foppe Smedes1, Tatsiana Rusina1,
Krzysztof Okonski1, Ian Allan2, Merete Grung2, Klára
Hilscherova1, Jiří Novák1, Peter Tarábek3,
Roman Grabic4, Jaroslav Slobodník5 1Research Centre for Toxic Compounds in the Environment (RECETOX), Masaryk
University, Brno, Czech Republic 2Norwegian Institute for Water Research (NIVA), Oslo, Norway 3Water Research Institute, Bratislava, Slovakia 4University of South Bohemia, České Budějovice, Czech Republic 5Environmental Institute, Slovakia
Passive sampling in the Joint Danube Survey 3
installation of an “active” passive sampler system on board of the expedition
ship (August-September 2013)
temporally- and spatially- integrative sampling approach - pollution situation in
defined stretches
passive samplers for hydrophobic and for polar compounds
Target analysis for priority substances + relevant river basin specific compounds
Non-target screening analysis (GC-TOF-MS; HPLC-HR-MS(MS))
Toxicity profiling – set of bioassays
Design of an “active” passive sampler
pump exposure chamber
2 x lid
Passive
samplers
water in
Passive samplers: Silicone rubber (SR), LDPE, SDB-RPS Empore discs
The “active” passive sampler
The Argus JDS3 sampling ship
passive samplers
“active” passive sampling device
Sampler in operation
( lifted above water for the photo)
Passive sampling
Mobile „active“ passive sampling device operation
Riverbed
pump
600 l
stainless
steel
barrel
CHEM
BOX
Flow and navigation direction
Water in
Water out
pump
water in
water out
Argus
Passive sampling on board of JDS3 ship Argus
River stretches sampled with passive samplers
Stretch
number Stretch start and end River km
Dates of
cruise
Mean water
temperature
[°C]
Exposure
time
[d]
Volume
extracted
by SR [L]a
1 Passau-Bratislava 2203-1852 17.8.-22.8. 21.3 2.0 169
2 Bratislava-Budapest 1852-1632 22.8.-26.8. 22.0 1.2 84
3 Budapest-Vukovar 1648-1297 26.8.-2.9. 21.9 1.7 139
4 Vukovar-Belgrade 1297-1154 2.9.-6.9. 22.8 1.6 133
5 Belgrade-Turnu-Severin 1154-930 6.9.-10.9. 22.1 2.0 139
6 Turnu-Severin-Ruse 930-495 11.9.-17.9. 21.9 2.0 129
7 Ruse-Braila 495-170 17.9.-21.9. 19.2 1.4 79
8 Braila-Tulcea 170-71 21.9.-26.9. 18.7 1.3 72
aVolume of water extracted by the SR sampler during exposure; it is
calculated for a model compound with molecular mass of 300.
Analysis of passive samplers
Type of analysis
Compound
class
Passive
sampler
Target analysis Non-target
screening
Toxicity
profiling
Specimen
bank
Nonpolar
compounds Silicone rubber
sheet (SR) RECETOX/ GC/MS
SOLUTIONS
bioassay battery
Later use in
FP7
SOLUTIONS log Kow >3
Low density
polyethylene
sheet (LDPE)
NIVA / GC/MS NIVA / GC/TOF
Polar
compounds
SDB-RPS
Empore discs
RECETOX/ Waters
XEVO TQ-S
RECETOX/ Agilent
6550 QTOF
SOLUTIONS
bioassay battery
Later use in
FP7
SOLUTIONS log Kow < 3
University of South
Bohemia /
Thermo Qexactive
RECETOX/ AB
SCIEX 5500 Q Trap
Result
Absolute or
relative
concentrations
of compounds in
the dissolved
phase
List of
compounds
subject to
prioritisation
for
identification
of RBSP
Response
and effect
pattern of
pollutants in
water
Parameters to calculate water concentration
from silicone rubber data
PRC list:
BIP-D10, PCB001, PCB002,
PCB003, PCB010, PCB014,
PCB021, PCB030, PCB050,
PCB055, PCB078, PCB104,
PCB145, PCB204
0.0
0.2
0.4
0.6
0.8
1.0
1.2
3 4 5 6 7 8 9
fraction P
RC
reta
ined
log(Kpw/M-0.47)
Regensburg-Passau
f-measured
f-calc
Rs=82.8 ( 6.2)
L/d
River stretches sampled with passive samplers
Stretch
number Stretch start and end River km
Dates of
cruise
Mean water
temperature
[°C]
Exposure
time
[d]
Volume
sampled
by SR [L]a
1 Passau-Bratislava 2203-1852 17.8.-22.8. 21.3 2.0 169
2 Bratislava-Budapest 1852-1632 22.8.-26.8. 22.0 1.2 84
3 Budapest-Vukovar 1648-1297 26.8.-2.9. 21.9 1.7 139
4 Vukovar-Belgrade 1297-1154 2.9.-6.9. 22.8 1.6 133
5 Belgrade-Turnu-Severin 1154-930 6.9.-10.9. 22.1 2.0 139
6 Turnu-Severin-Ruse 930-495 11.9.-17.9. 21.9 2.0 129
7 Ruse-Braila 495-170 17.9.-21.9. 19.2 1.4 79
8 Braila-Tulcea 170-71 21.9.-26.9. 18.7 1.3 72
aVolume of water extracted by the SR sampler during exposure; it is
calculated for a model compound with molecular mass of 300.
Vsampled = Rs x t Caged sampler (in 2days): 32
Spatial contaminant profiles measured
by silicone rubber: PAHs
0
2000
4000
6000
8000
10000
12000
14000
16000
Con
cen
trat
ion
[p
g/l]
Passau-Bratislava
Bratislava-Budapest
Budapest-Vukovar
Vukovar-Belgrade
Belgrade-Turnu-Severin
Turnu-Severin-Ruse
Ruse-Braila
Braila-Tulcea
Report: www.icpdr.org/main/activities-projects/jds3
Spatial contaminant profiles
measured by silicone rubber samplers
0
100
200
300
400
500
600
700
800
900
1000
PeCB HCB b-HCH p,p'DDT (x 10) ΣDDT
Co
nce
ntr
ati
on
[p
g/l]
Passau-Bratislava
Bratislava-Budapest
Budapest-Vukovar
Vukovar-Belgrade
Belgrade-Turnu-Severin
Turnu-Severin-Ruse
Ruse-Braila
Braila-Tulcea
Report: www.icpdr.org/main/activities-projects/jds3
Organochlorine pesticides Musk compounds
0
500
1000
1500
2000
2500
3000
3500
Cashmeran Celestolide Phantholide Traseolide Galaxolide / 10
Tonalide
Co
nce
ntr
atio
n [p
g/L
]
Passau-Bratislava
Bratislava-Budapest
Budapest-Vukovar
Vukovar-Belgrade
Belgrade-Turnu-Severin
Turnu-Severin-Ruse
Ruse-Braila
Braila-Tulcea
0.0
2.0
4.0
6.0
8.0
10.0
4-tert-octylphenol 4-nonylphenol
Co
nce
ntr
atio
n [
ng
/l]
Passau-Bratislava
Bratislava-Budapest
Budapest-Vukovar
Vukovar-Belgrade
Belgrade-Turnu-Severin
Turnu-Severin-Ruse
Ruse-Braila
Braila-Tulcea
Alkylphenols
0
20
40
60
80
100
120
140
160
180
200
PCB 28 PCB 52 PCB 101 PCB 118 PCB 153 PCB 138 PCB 180
Co
nce
ntr
atio
n [
pg
/l]
Passau-Bratislava
Bratislava-Budapest
Budapest-Vukovar
Vukovar-Belgrade
Belgrade-Turnu-Severin
Turnu-Severin-Ruse
Ruse-Braila
Braila-Tulcea
PCBs
Comparison with older data from „classical“ passive sampling
PAH concentrations: Stretch Passau-Bratislava
ACE
FLE
FEN
ANT
FLU
PYR
BAA
CHR
BbF
BkF
BAP
INP
DBAHABGHIPE
STATIC (2011) log C [pg/l]
1.0 1.5 2.0 2.5 3.0 3.5 4.0
JDS
3 M
OB
ILE
(2013)
log C
[pg/l]
1.0
1.5
2.0
2.5
3.0
3.5
4.0
* * *
* based on data < LOQ
Sampled using SPMD (summer 2011)
Sam
ple
d u
sin
g S
ilicone R
ubber
During J
DS
in 2
013
Danube
Comparison of „mobile“ with „static“passive sampling
POPs in water column at Bratislava
Static
„active“
passive:
Static
„classic“
passive:
Mobile „active“ passive
Passau-B
ratisla
va
log C [pg/l] STATIC
1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4
log
C [
pg/l]
MO
BIL
E
1.0
1.2
1.4
1.6
1.8
2.0
2.2
2.4
log C [pg/l] STATIC
1.0 1.5 2.0 2.5 3.0 3.5 4.0
log C
[pg/l] M
OB
ILE
1.0
1.5
2.0
2.5
3.0
3.5
4.0
"Active" passive 19.-23.8.
"Active" passive 23.-28.8.
"Classic" passive, 28.8.-1.10.
PAHs PCBs
Comparison of passive samplers: Silicone rubber vs. LDPE
Surface specific uptake
LDPE:112 cm2 SR:392 cm2
Chrysene – a compound in linear uptake phase in both samplers.
Silicone rubber [ng/cm2]
0.00 0.05 0.10 0.15 0.20 0.25 0.30
LD
PE
[n
g/c
m2]
0.00
0.05
0.10
0.15
0.20
0.25
0.30
Chrysene
Spatial contaminant profiles
measured by Empore RPS samplers
0
100
200
300
400
500
600
700
Alachlor Atrazine Diuron Isoproturon Simazine
ng/s
ampl
er
Passau-Bratislava
Bratislava-Budapest
Budapest-Vukovar
Vukovar-Belgrade
Belgrade-Turnu-Severin
Turnu-Severin-Ruse
Ruse-Braila
Braila-Tulcea
0
200
400
600
800
1000
1200
caffeine carbamazepine diclofenac
ng
/sa
mp
ler
Passau-Bratislava
Bratislava-Budapest
Budapest-Vukovar
Vukovar-Belgrade
Belgrade-Turnu-Severin
Turnu-Severin-Ruse
Ruse-Braila
Braila-Tulcea
Report: www.icpdr.org/main/activities-projects/jds3
Polar pesticides Pharmaceuticals
Comparison of passive samplers: Silicone rubber vs. Empore
Surface specific uptake
Empore:173 cm2 SR:392 cm2
n-nonylphenol
Silicone rubber [ng/cm2]
0 1 2 3 4 5 6 7
Em
po
re d
iscs [
ng
/cm
2]
0
1
2
3
4
5
6
7
caged sampler
deployment at
Bratislava,
43 days
X
Silicone rubber [ng/cm2]
0 1 2 3 4 5 6 7
Em
pore
dis
cs [ng/c
m2]
0
1
2
3
4
5
6
74-nonylphenol
caged sampler
deployment at
Bratislava,43 days
during JDS3
4-nonylphenol – a compound (likely) in linear
uptake phase in both samplers.
Conclusions
Mobile passive sampling enabled to clearly identify spatial profiles of a
broad range of organic pollutants in the water column of Danube
• POPs: PCBs, organochlorine pesticides, PAHs, brominated flame
retardants
• Alkylphenols, alkylphosphates, musks
• polar pesticides, pharmaceuticals
„Active“ vs. „caged“ passive sampling: cca. 5-fold increase of
sampling rate
• Measurement down to pg l-1 levels in only 2 days of sampling
A good comparability of various passive sampling approaches
• mobile and static sampling (concurrent and historical data)
• co-deployed passive samplers (SR and LDPE)
Sampling rates in the SDB-RPS Empore-disk sampler can be estimated
from the correlation with uptake to co-deployed silicone rubber
Current research: the combination of passive samplers with bioassays
for identification of areas of concern for further investigation
Report: www.icpdr.org/main/activities-projects/jds3
Acknowledgements
NORMAN association www.norman-network.net
The FP7 SOLUTIONS project has received funding from the European
Union’s Seventh Framework Programme for research, technological
development and demonstration under grant agreement no. 603437)
Ian Allan and Merete Grung acknowledge NIVA funding through the
RivScreen project (2013-2014), project O-13036
Collaborators from UFZ, INERIS, RWTH, WRI, EI, RECETOX,
University of South Bohemia are acknowledged for participating in
sampling, chemical and toxicological analysis.