organotin speciation in bizerte lagoon (tunisia)
TRANSCRIPT
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Science of the Total Environm
Organotin speciation in Bizerte lagoon (Tunisia)
N. Mzoughia, G. Lespesb,T, M. Bravob, M. Dachraouic, M. Potin-Gautierb
aInstitut National des Sciences et Technologie de la Mer, Laboratoire Milieu Marin, 28 Rue 2 Mars 1934, 2025 Salammbo, TunisiebLaboratoire de Chimie Analytique, UMR 5034, CNRS, LCABIE, Universite de Pau et des Pays de l’Adour,
BP 1155, 64013 Pau Cedex, FrancecLaboratoire de Chimie Analytique et Electrochimie, Faculte des Sciences de Tunis, Tunisie
Received 20 July 2004; accepted 22 December 2004
Available online 10 March 2005
Abstract
For the first time, organotins have been assessed in samples collected from Bizerte lagoon, in Tunisia, during two seasons
(summer and winter). The organotin distribution was studied in marine sediments and mussels tissues of this lagoon. Butyl-,
phenyl- and octyltins were determined using a rapid speciation analytical method based on one-step ethylation/extraction with
sodium tetraethylborate in aqueous phase. Simultaneously to the ethylation, the extraction was performed by either liquid/liquid
extraction (LLE) or head-space solid phase microextraction (HS-SPME). Gas chromatography with pulsed flame photometric
detection (GC-PFPD) was used to perform quantitative determination. The technique has been validated using biological and
sediment reference materials. The different samples from Bizerte lagoon were found to be moderately contaminated, especially
by butyltins. This pollution was attributed to industrial activities, which are very important in this area. Organotins appeared
accumulated in both sediments and mussels, while significant degradations of triorganotins to monosubstituted ones was
observed in water.
D 2005 Elsevier B.V. All rights reserved.
Keywords: Organotin compounds; Bizerte lagoon; Liquid–liquid extraction; Ethylation; Solid phase microextraction (SPME); Gas
chromatography; Pulsed flame photometric detector (PFPD); Sediment; Mussel tissue
1. Introduction
For more than 20 years, speciation of organo-
metallic compounds in environmental samples is an
analytical and environmental challenge because of the
0048-9697/$ - see front matter D 2005 Elsevier B.V. All rights reserved.
doi:10.1016/j.scitotenv.2004.12.067
T Corresponding author.
E-mail address: [email protected] (G. Lespes).
species preservation during their determination and
needs of sensitive and accurate monitoring methods.
Organotin compounds have been used in marine
antifouling paints since the mid-1960s, and have
generated great concerns and interest in their environ-
mental fate because their high toxic effects on non-
target marine organisms (Fent, 1996; Hall and
Pinkney, 1985; Alzieu, 1981). These compounds,
especially the tributyltin (TBT), exhibit broad spec-
ent 349 (2005) 211–222
N. Mzoughi et al. / Science of the Total Environment 349 (2005) 211–222212
trum biocidal properties and so have involved con-
siderable research attention. Hence, it is important to
study the chemical speciation of these compounds
especially in sediments and biological tissues, since
they are stored in sediment and bioaccumulated in
living organisms. Mussels are able to filtrate large
volume of water and bioconcentrate metal such a as
mercury and corresponding organometals in their
tissues (Cossa and Claisse, 1999). High organotin
content was also found in mussels from La Spezia
(Italia) (Montigny et al., 1998). For this reason, they
are considered as good bio-indicator organisms to
monitor contamination of the coastal marine environ-
ment (i.e. bmussel watchQ).The analytical method currently used for the
determination of the organotins are based on chroma-
tographic separation coupled to various detection
techniques (Carlier-Pinasseau et al., 1996a,b; Cassi
et al., 2002; Aguerre et al., 2001a). Prior the gas
chromatographic separation, the organometallic spe-
cies must be either sufficiently volatile or, in the case
of ionic organometallic species, make volatile by
derivatisation. The technique commonly used for
derivatisation procedure directly applied to the aque-
ous phase is based on sodium tetraethylborate
(NaBEt4) (Carlier-Pinasseau et al., 1996a).
Simultaneously to the ethylation, extraction is
performed using either liquid–liquid extraction
(LLE) or solid phase microextraction (SPME). This
last technique is simple, solventless and allows the
rapid pre-concentration of trace compounds onto a
fibre from liquid samples or extracts (Flores Menen-
dez et al., 2000; Le Gac et al., 2003; Aguerre et al.,
2003). The SPME device can be used either in direct
(contact with fibre and aqueous medium) or head-
space (HS) mode, allowing a quasi on-line process
from the sample preparation to the analysis. HS-
SPME is well-adapted for the analysis of biological
specimens as interference from high-molecular-mass
components (e.g. proteins) in the matrix is reduced,
yielding cleaner extracts.
The direct SPME procedure followed by GC
with specific detection has been developed in
previous works (Aguerre et al., 2000; Lespes et
al., 1998) for the speciation of butyl- and phenyltins
in various environmental samples. More recently,
HS-SPME has been proposed as a potentially
interesting alternative to direct mode, but was only
applied to a restricted number of samples (Le Gac
et al., 2003).
In the present paper, HS-SPME and LLE have
been compared and applied to environmental analy-
sis, in order to validate the SPME-based method for
organotin monitoring. This work concerns especially
butyl- and phenyltins in sediments and mussel tissue,
which have never been determined by such a method
in such matrices before. The coastal zones are
important considering the ecological and economical
point of view. However, the determination of
organotin compounds in microtidal lagoons is still
less studied. Thus, in this work, the first data
concerning butyl-, phenyl- and octyltin concentra-
tions in surface sediments and mussel tissues from a
microtidal lagoon (Bizerte, Tunisia) are reported.
This lagoon is one of the most economically
important areas in Tunisia. It is subject to intensive
industrial activities. There are four main zones of
anthropogenic influence (Fig. 1): In zone A are
situated oil refineries, food and ceramic industries. In
zone B are located cements, treatment of metals
(copercraft, asbestos) and sprinkling beverage facto-
ries. In zone C are ceramic and metallurgy activities.
In zone D are present metallurgy activities (Fe, Zn,
Cd, Sn, Hg), naval constructions and tire produc-
tions. A previous study has shown that a moderate
but significant contamination by organic compounds
exits (Mzoughi, 2003). Thus, polycyclic aromatic
hydrocarbures (PAH) were found in the sediments of
the northwest of the lagoon (along the channel
connecting it to the sea). The corresponding concen-
tration levels ranged over 0.01–2.5 Ag g�1, lower
than the environmental standard (45 Ag g�1). The
mussels sampled in the north and south of the lagoon
appeared contaminated by various hydrocarbons (n-
alcans, olefins or PAH), with concentrations gener-
ally under 70 Ag g�1 dry tissue. This contamination
was attributed to the oil coming from boats (leading
to the presence of various aromatic and alkylated
compounds) as well as both natural (forest fires) and
anthropogenic combustion (industrial activities).
These different results enhance the significant con-
tribution of the anthropogenic activities on the
general quality of the lagoon. So, the present study
allows the environmental data concerning the Bizerte
lagoon be completed. In order to reach this goal,
attention is given to the possible anthropogenic
LAGOON OF BIZERTE
Mediterranean seaMussel
Sediment
1
2
3
4
5
6
7 8
9
10
11
1213
14
MA
MJ
Water flow
N
W E
S
AB
C
D
D
B zerte
Zarzouna
Menzel A.ErrahmenMenzel Djemil
Tinja
Menzel Bourguiba
F.M.B
Fig. 1. Map of the lagoon of Bizerte with location of the sampling stations and different types of industrial areas (A, B, C and D).
N. Mzoughi et al. / Science of the Total Environment 349 (2005) 211–222 213
sources to the lagoon and seasonal variations of
organotin concentrations.
2. Materials and methods
2.1. Study area
The lagoon of Bizerte is the second largest lagoon in
Tunisia (Fig. 1). The surface area is 128 km2 and the sea
depth is between 3 and 12 m. The lagoon is connected
to the Mediterranean Sea and to the Lake Ichkeul by
straight channels. The exchanges of water between
the Mediterranean and the lake determine the salinity
of the lagoon, which varies between 32.5 and 38.5.
The water temperature is between 10 8C during winter
(wet season) and 29 8C during summer (dry season).
2.2. Sampling and storage
Oxic surface sediments and mussels (Mytilus
galloprovincialis) were collected during two sampling
campaigns (August 1999 and January 2000). Sedi-
ments were sampled in 14 different points (numbered 1
to 14 on the Fig. 1). The first 10–20 cm of surface
sediments (about 1–2 kg) were sampled by using a
grab. These sediments are made up of 100–500 Amsize-ranged sand. Mussels were taken in three stations
(mussel farming, called MA, MJ and FMB) where they
are kept and grow usually. All these samples (sedi-
ments andmussels) were frozen in situ. As soon as their
arrival in the laboratory, the samples were freeze-dried
for 48 h, ground and stored at �20 8C until analysis.
2.3. Experimental
All organotin concentrations reported in this paper
are expressed as the mass of tin (Sn) per mass or
volume unit.
2.3.1. Apparatus
Organotins were determined using a varian 3800 gas
chromatograph (Walnut Creek, CA, USA) equipped
with a pulsed flame photometric detector (PFPD) and a
N. Mzoughi et al. / Science of the Total Environment 349 (2005) 211–222214
varian 1079 split/splitless injector temperature pro-
grammable. The separation was carried out on a capil-
lary column (30 m�0.25 mm i.d.) coated with methyl-
silicone (0.25 Am film thickness) (Quadrex, New
Haven, USA). Nitrogen was used as carrier gas. The
following temperature program was necessary to allow
separation of organotin compounds: the column tem-
perature was held at 80 8C for the first minute increased
to 180 8C at the rate of 30 8C/min and then to 270 8C at
10 8C/min. These operating conditions have been
previously validated for a suitable analysis (Carlier-
Pinasseau et al., 1996b; Bancon-Montigny, 2001).
2.3.2. Characteristic of PFPD operation
The PFPD is based on an air/hydrogen flame which
ignites two to four times per second (Amirav and Jing,
1995a,b; Jiang et al., 1996; Amirav and Jing, 1998).
Thus, the time emission profiles are characteristic of
the species involved (Quevauviller et al., 1994). Then,
by adjusting the start and the duration of the detection
according to the profile of the species studied, the
highest selectivity as possible can be obtained. These
particular operating conditions also allow a large-
passband filter can be used at the both wavelengths
(390 and 610 nm, respectively, corresponding to Sn–C
and Sn–H emissions), instead of an interferential filter.
This is particularly interesting considering that the 390
nm wavelength corresponds at once to the most
important Sn–C emission and the main-interfering
sulphur species.
In this work, the detector was operated with 390
and 610 nm optical interchangeable filters (Schott,
Clichy, France) in order to at once check the peak
assignation and obtain satisfactory sensitivity.
2.3.3. Reagents and standards
Methanol and sodium ethanoate were purchased
from Prolabo. Hydrochloric, nitric and ethanoic acids
were obtained from Merck, and isooctane from Fluka.
The deionised water used was 18 MV (Millipore
system).
Sodium tetraethylborate (NaBEt4) was obtained
from Strem Chemicals. The working solution was
made daily by dissolving 0.02 g in 1 ml of deionised
water and stored at +4 8C in the dark.
Glassware was rinsed with deionised water, decon-
taminated overnight in 10% (v/v) nitric acid solution
and then rinsed again.
Organotin standards stock solutions (1000 mg l�1
as tin) monobutyltin trichloride (MBT, 95%), dibu-
tyltin dichloride (DBT, 97%), tributyltin chloride
(TBT, 96%), monophenyltin trichloride (MPhT,
98%), diphenyltin dichloride (DPhT, 96%), triphenyl-
tin chloride (TPhT, 95%), monooctyltin trichloride
(MOcT, z90%), dioctyltin dichloride (DOcT, z90%)
and trioctyltin chloride (TOcT, 100%) were purchased
from Aldrich (Milwaukee, WI, USA). Tripropyltin
chloride (TPrT, 98%) was obtained from Strem
Chemicals. Stock solutions stored at +4 8C in the
dark are stable for 1 year (Lespes et al., 1996).
Working standards were obtained by dilution in
water (weekly for 10 mg l�1 and daily for 100 Ag l�1).
They were also stored in the dark at +4 8C.
2.3.4. Reference material and samples
The validation of the method was performed using
a certified reference material: the BCR 646, sediment
from the Institute for Reference Materials and
Measurements (IRMM-Geel, Belgium) certified for
its butyltin and phenyltin content. Another material,
the T38 Oyster tissue from the European Community,
contains MBT, DBT and TBT. It was used during an
intercomparison exercise. Its contents (results from
the Group of Analytical Chemistry, Universite de Pau
et des Pays de l’Adour) were considered as a
laboratory reference for checking and validating our
present results.
2.4. Analytical procedure
The method used for organotin determination was
adapted according to Bancon-Montigny (2001).
2.4.1. Extraction from the sample
Extraction was performed as follows:
– 1 g of freeze-dried mussels was extracted in 2.5 ml
methanol+12.5 ml 0.1 M HCl in methanol by
ultrasonic stirring for 1 h.
– 0.5 to 2 g sample of freeze-dried sediment were
extracted in 20 ml of glacial ethanoic acid by
mechanical stirring for 12 h.
2.4.2. Derivatisation and analysis
Simultaneously to the ethylation, the extraction
was performed using either classical liquid/liquid
N. Mzoughi et al. / Science of the Total Environment 349 (2005) 211–222 215
extraction (LLE) or solid phase microextraction
(SPME).
In case of LLE, 0.5 ml to 1 ml of raw extract was
directly introduced into the derivatisation reactor,
ethylation was carried out using NaBEt4 in sodium
ethanoate/ethanoic acid buffer (100 ml, pH=4.8) and
0.5 ml of isooctane. The mixture was shaken at 420
rpm for about 30 min in order to ensure efficient
transport of the ethylated analytes from the solution to
the organic solvent. After a decanting step, 1 Al ofisooctane extract was directly injected into the GC-
PFPD.
In case of SPME, a manual SPME device from
Supelco (Supelco, Saint Quentin Fallavier, France)
was used, with a fibre coated by an apolar carboxen-
polydimethylsiloxane (Carboxen-PDMS) phase of 70
Am thickness. The device was fixed to the top of the
flask such that the fibre can be used either in direct
mode (i.e. continuously into the buffered aqueous
medium) or in headspace (i.e. above the buffered
medium) (Aguerre et al., 2000). The solution was then
shaken horizontally on an elliptic table (420 rpm, 40
min) in order to ensure efficient transport of the
analytes from the solution to the fibre. Measurement
was performed immediately after the sorption process.
The optimised conditions have been determined and
precisely described elsewhere (Lespes et al., 1998;
Aguerre et al., 2001b; Mayer et al., 2000).
2.4.3. Quantitation
Tripropyltin was used as internal standard. The
TPrT-relative chromatographic responses of butyl-,
phenyl- and octyltin were calculated from standard
solutions prepared in deionised water. The internal
standard procedure was then applied to 0.5 to 2 ml of
acidic extract of sediment or biological tissues.
3. Results and discussion
Considering the number of sampling points and
analysed samples, a lot of data concerning each
organotin species were obtained. In order to decrease
this number and enhance the main environmental
tendencies, data were regrouped. Thus, to evaluate the
origin and risk according to the (RnSn(4�n)) toxicity of
organotins, their distribution according to the nature
of the organic group R and degree n of substitution
was considered and evaluated as it follows (Bancon-
Montigny, 2001):
– the sum of all the organotin concentrations (butyl-,
phenyl- and octyltins) noted as the total organotin
concentration (TOC)X
TOC ¼ MBT½ �þ DBT½ �þ TBT½ �þ TeBT½ �ð Þfþ MPhT½ � þ DPhT½ � þ TPhT½ �ð Þþ MOcT½ � þ DOcT½ � þ TOcT½ �ð Þg
– the sum of the concentrations of the compounds
with the same substitution group R:
XR ¼ MRTþ DRTþ TRTþ TeRTð Þ; with R
¼ B;Ph or Oc
This sum allows to get an indication on the
organotin origins (Bancon-Montigny, 2001).
– the sum of the concentrations of the organotins
with the same degree of substitution n:
Xn ¼ BnTþ PhnTþ OcnTð Þ; with n
¼ mono�; di�; tri� or tetraorganotinsThis sum allows to give an indication on the level of
contamination since the toxicity increases with the
degree n of substitution (Bancon-Montigny, 2001).
3.1. Selectivity
The two main potentially interfering elements of
tin in flame photometry are sulphur and phosphorus
(Hill and Smith, 2000). PFPD is presented as more
selective than conventional FPD. Moreover, the
possible use of two different wavelengths associated
with gate delay and gate width of detection was
expected to significantly decrease the potential risk of
interference.
The selectivity was first tested by qualitatively
analysing sediments (reference and from Bizerte
lagoon) with LLE-GC-PFPD, since it is now well-
known that sediment may content sulphur species
(Montigny et al., 1998).
Figs. 2 and 3 (A and B) show the actual possibility
to decrease interferences especially observed in the
samples from Bizerte lagoon, according to the
A
B
2.5 5.0 7.5 10.0 12.5 15.0Minutes
0.0
2.5
5.0
7.5
mVolts
mVolts
MB
TT
PT
MP
hT
TeB
T
DP
hT
TP
hT
DB
T2.5 5.0 7.5 10.0 12.5 15.0
Minutes
0.00
0.25
0.50
0.75
1.00
MB
TT
PT
D
BT
MP
hT
TP
hT
7.5 10.0
U2 : 9.052 minU1 : 4.592 min
U1 : 4.592 min
TeB
T
DP
hT
Fig. 2. Typical chromatograms of a sediment sample (station 2) using: (A) Sn–C filter and (B) Sn–H filter, after LLE.
N. Mzoughi et al. / Science of the Total Environment 349 (2005) 211–222216
wavelength used. When Sn–C filter is used (Figs. 2A
and 3A), an unknown peak (U2) occurs at 9.052
min, while this peak is significantly decreased by
using Sn–H filter (see Figs. 2B and 3B). However,
the Sn–H filter does not allow this interference
disappears. But its presence is not a problem since
its retention time is not similar to those of the
organotins of interest.
Another unknown peak (U1) appears at 4.592 min
retention time, very close to DBT one. When the less
selective Sn–C filter is used and U1 is present in
important concentration, the corresponding peak is
particularly high, leading to a significant overlapping
between U1 and DBT peaks, as it can be noticed on
Figs. 2A and 3A. Then, it is a real drawback for the
DBT determination.
These two unknown peaks can be attributed to
sulphur species, as some authors already observed
similar peaks (Amirav and Jing, 1995a,b, 1998; Jiang
et al., 1996; Montigny et al., 1998). Other studies
made in our laboratory (Bravo, personal communica-
tion, 2004) confirm this hypothesis. Elemental sulphur
submitted to acidic extraction and NaBEt4 ethylation
can give ethylated polysulphur compounds, able to be
extracted simultaneously to organotins. Although
sulphur-relative PFPD sensitivity is limited in com-
parison to organotin one, the important amounts of
elemental sulphur present in some environmental
samples such as sediments induce possible interfering
peaks during organotin determination. The present
two examples illustrate this phenomenon and show
the limitations of the PFPD selectivity.
MB
T T
PT
DB
T
MP
hT
TeB
T
DP
hT
TP
hT
U2 : 9.052 min
2.5 5.0 7.5 10.0 12.5 15.0
TB
T
U1 : 4.592 min
MB
TT
PT
DB
T
MP
hT
DP
hT
TP
hT
U2 : 9.052 minU1 : 4.592 min
DP
hT
TeB
T
TB
TM
PhT
TP
TD
BT
MB
T
Minutes
TP
hT
U1 : 4.592 min
A
B
C
TB
TT
eBT
Fig. 3. Typical chromatograms from a sediment sample (station 8) obtained using: (A) LLE and Sn–C filter (B) LLE and Sn–H filter (C) Head
Space SPME and Sn–C filter.
N. Mzoughi et al. / Science of the Total Environment 349 (2005) 211–222 217
3.2. Efficiency of SPME
Because selectivity is a crucial point in environ-
mental analysis and in order to overcome the
problems due to sulphur interference, the idea was
to increase the selectivity over the whole analytical
method (i.e. from derivatisation to detection). So,
SPME was investigated.
Indeed, the high preconcentration power of this
technique and the quantitative extraction of the
organotins of the fibre used in direct mode lead to
obtain very low limits of detection (LOD), ranged
over 7–500 pg (Sn) L�1 (Aguerre et al., 2000; Lespes
et al., 1998). Unfortunately, strong matrix effects
occur when samples rich in organic matter (OM) as
sediment or biomass are analysed (Aguerre et al.,
2003). They are due to competitive co-extraction
between OM and organotins, involving the organotin
extraction yields decrease dramatically. Quite similar
effects can be noticed when LLE is used (Montigny et
al., 1998).
A recent study has shown the interest of headspace
mode (HS), when applied to the determination of
volatile methyl- and butyltins, and even less volatile
octyl- and phenyltins (Le Gac et al., 2003). However,
it was only applied to some waters and a fish tissue. In
order to evaluate this SPME mode for sediment
analysis, the chromatograms obtained after HS-SPME
and LLE are comparatively presented on Fig. 3A and
C. For the both chromatograms, the least-selective
Sn–C filter was used. As it was noticed previously,
two unknown peaks are present after LLE. However,
N. Mzoughi et al. / Science of the Total Environment 349 (2005) 211–222218
by using HS-SPME, it can be observed that the U2
peak disappears, while the resolution between U1 and
DBT peaks is improved, leading to a satisfactory
quantitative analysis. So, it seems that HS-SPME can
ensure a relative selectivity since less-volatile sulphur
species present in aqueous phase can not be trans-
ferred to the SPME fibre. In case of organotins, the
ethylated species remain sufficiently volatile to be
sorbed onto the fibre, as demonstrated previously (Le
Gac, 2003). In the same time, the organotin extraction
yields seem less affected by the co-extracted products
originally present after acidic extraction from solid
sample.
3.3. Applications
3.3.1. Reference materials
As a quality insurance procedure, reference materi-
als BCR 646 (certified in butyl- and phenyltins) and
T38 were firstly analysed by GC-PFPD using at once
LLE and HS-SPME. Organotin concentrations
obtained are presented in Table 1.
Concerning butyl- and phenyltins, the certified and
determined concentrations presented in Table 1 are in
good agreement, considering the experimental errors
(standard deviations), even for the least-volatile DPhT
and TPhT. For butyltins in mussel tissue (Table 1), the
whole values (reference and found) correlate as well.
Because octyltins were also preliminary detected in
samples, sediments were spiked in these compounds
in order to check the analytical reliability. The results
obtained show a satisfactory correlation between
spiked and determined values.
These results confirm the interest and possibility of
HS-SPME for environmental analysis, especially in
Table 1
Concentrations (Ag (Sn) kg�1) of organotins found in (A) BCR 646 and (B
and Sn–H filters
Compounds (A) BCR 646
LLE
(Sn–C)
LLE
(Sn–H)
HS-SPME
(Sn–C)
Certified
values
MBT 392F45 378F38 438F54 411F81
DBT 375F30 366F44 385F40 392F46
TBT 207F13 200F24 204F22 196F33
MPhT 48F2 40F6 38F4 42F11
DPhT 13F4 14F3 9F3 16F3
TPhT 9F3 8F2 6F2 10F4
case of samples containing any potentially interfering
compounds such as hydrocarbonated or sulfur species
(Montigny et al., 1998).
3.3.2. Organotins in surface sediments
The different organotin concentrations obtained
after seasonal samplings are presented in Fig. 4.
The spatial distribution profiles in figures A, B and
C appears similar during summer (a) and winter (b).
This fact is due to important MBT concentrations
comparatively to those of the other species. It can
express at once significant degradations occurring in
the lagoon and direct rejects from urban and industrial
waste waters. In addition, mono- and dibutyl and
octyltins are also detected, coming probably from PVC
tube leaching. However, this contribution remains
limited whatever the season considered, octyltin
concentrations being low, as shown in Fig. 4B. The
trisubstituted organotin concentrations appear gener-
ally significantly higher in winter, remaining however
lower than 40 Ag (Sn) kg�1. Even if these values can
appear relatively low, they are preoccupying consid-
ering the high toxicity of these species for aquatic
ecosystem (WHO, 1990). Moreover, the Bizerte
lagoon is a quite wide open system with large diffusion
and some possible areas of accumulation. Butyltins are
generally mainly preponderant, except in points 4, 9
and 12, in summer and 1 and 7 in winter, where the
three phenyltins are also found. The corresponding
concentrations can be over 50 Ag (Sn) kg�1. These
stations are located in the North West and South of the
lagoon, where cultivated fields are connected to the
lagoon by straight channels. During storms, they drain
rainwater, which can transport agricultural TPhT-based
biocides after soil leaching.
) T 38 after LLE-GC-PFPD and HS-SPME-GC-PFPD, using Sn–C
(B) T 38
LLE
(Sn–C)
LLE
(Sn–H)
HS-SPME
(Sn–C)
Laboratory
reference values
195F21 209F11 220F15 226F22
32F5 29F4 27F4 25F2
252F7 240F8 227F10 223F2
– – – –
– – – –
– – – –
(a) (b)
0
50
100
150
200
Stations
Con
cent
rati
ons
Total ButyltinsTotal PhényltinsTotal Octyltins
0
50
100
150
200
250
1 2 3 4 5 6 7 8 9 10 11 12 13 14
1 2 3 4 5 6 7 8 9 10 11 12 13 14 1 2 3 4 5 6 7 8 9 10 11 12 13 14
1 2 3 4 5 6 7 8 9 10 11 12 13 14Stations
Con
cent
rati
ons
0
50
100
150
200
250
Stations
Con
cent
rati
ons
0
50
100
150
200
Stations
Con
cent
rati
ons
Total Butyltins
total Phényltins
Total Octyltins
0
40
80
120
160
1 2 3 4 5 6 7 8 9 10 11 12 13 14 1 2 3 4 5 6 7 8 9 10 11 12 13 14Stations
Con
cent
rati
ons
mono -di-tri -
0
40
80
120
160
Stations
Con
cent
rati
ons
mono -di-tri -
A
B
C
Fig. 4. Concentrations of organotins (in Ag (Sn) kg�1) in sediments sampled in (a) summer and (b) winter, respectively: (A) total organotin
concentrations, (B) total butyl-, total phenyl- and total octyltins, (C) total mono-, total di- and total tri- (butyl-, phenyl- and octyltins).
N. Mzoughi et al. / Science of the Total Environment 349 (2005) 211–222 219
In summer, the stations 5, 6 and 7 appear as the
most contaminated, with total organotin concentra-
tions around 200 Ag (Sn) kg�1. Due to the location of
these four sampling points, the contamination can be
connected to naval activities of area D, where usually
antifouling paints are used. In these points, TBT is
mainly present, confirming the origin of the contam-
ination. Considering the water flow, it is interesting to
notice the organotin diffusion to stations 8, 9, 10 and
11, where a concentration gradient appears. In point 8
especially, quite high concentrations of MBT and TBT
were found. It seems that, in this precise location,
butyltins can be accumulated with slower biodegra-
dation effects, even in summer.
Quite high contamination also appears in a second
group of sampling points (stations 12, 13 and 14).
With regard to the water flow, this contamination can
be connected to activities from areas C and possibly
D. Relatively high trisubstituted concentrations were
also found in point 14.
The Bizerte sediments can be generally considered
as moderately polluted compared to harbour ones
(Moore et al., 1992; Carlier-Pinasseau, 1996). The
comparison of these results with other ones from
N. Mzoughi et al. / Science of the Total Environment 349 (2005) 211–222220
similar microtidal lagoons is difficult, due to the lack
of data. The butyltin concentrations are comparable to
those found in a Rhine lagoon in Germany (150 Ag(Sn) kg�1) (Schebek and Andreae, 1991). They are
much lower than those reported from other areas in
Swiss (Geneva), Canada (Ontario) or United King-
dom (Hamble), where concentrations are respectively
1500, 800 and 4300 Ag (Sn) kg�1 (WHO, 1990;
Becker et al., 1992).
3.3.3. Organotins in mussel tissues
Bivalve molluscs, including mussels, are known to
be the best organisms indicator of pollution since they
are (1) filter-feeders and therefore exposed to large
volumes of seawater; (2) immobile and therefore ex-
posed to local contamination only. So they have been
used in many national and international programs.
Among these organisms, mussels are world-wide
used as sentinel to rapidly assess the level of the
contamination of the marine environment for a large
number of pollutants.
Fig. 5(a) and (b) show the organotin concentrations
(Ag (Sn) kg�1 in dry weight) found in the mussels in
summer and winter, respectively.
0
20
40
60
MA MJ FMBStations
Con
cent
rati
ons
MBTDBTTBT
0
20
40
60
Con
cent
rati
ons
0
20
40
60
80
100
120
140
MA MJ FMB
Stations
Con
cent
rati
ons
0
20
40
60
80
100
120
140
Con
cent
rati
ons
(a)A
B
Fig. 5. Organotin concentration (in Ag (Sn) kg�1 dry weight) in mussels in
TBT).
The mean concentrations of total organotin com-
pounds are highly variable, ranging from 55F7 to
122F12 Ag (Sn) kg�1 during the two seasons. The
highest winter values (over 100 Ag (Sn) kg�1) were
found in stations MA (North) and FMB (South) and
the lowest one was obtained in FMB station during
summer.
Butyltins were systematically and mainly found.
MPhT was also detected in mussels from stations MA
(during summer and winter) and MJ (in summer
only). However, the corresponding concentrations
remain very low (below 13 Ag (Sn) kg�1). Octyltins
were never detected in any station. The examination
of the butyltin speciation shows that MBT is
predominant in all the sampling points, especially
during summer, while MBT and TBT concentrations
are very close during winter in stations MJ and FMB.
DBT remains in low concentration compared to MBT
and TBT ones, which it was already noticed by other
authors (Carlier-Pinasseau et al., 1996a; Carlier-
Pinasseau, 1996) and attributed to a rapid degradation
kinetics of DBT to MBT by microorganisms. The
successive desalkylations induced were also reported
previously (Ceulemans et al., 1994). Considering all
MA MJ FMBStations
MBTDBTTBT
MA MJ FMB
Stations
(b)
(a) summer and (b) winter, (A) total, (B) butyltins (MBT, DBT and
N. Mzoughi et al. / Science of the Total Environment 349 (2005) 211–222 221
these data, and also the fact that total organotin
concentrations were significantly higher during win-
ter, it is probable that degradations occur mainly in
water, mussels simply accumulating the organotins.
The mussel contamination by organotins can be
connected to anthropogenic (industrial areas C and D)
and geographic factors again. Thus, the highest
concentrations were found mainly in the Northwest
and Southwest of the lagoon, near sediment sampling
points 13–14 and 8–9, respectively, point 8 being
previously identified as an area where MBT and TBT
are accumulated. Agriculture seems to have very
limited effects on mussel contamination probably
because of low rainfall level and strong organotin
sorption onto soil particles (IPCS, 1999a,b; May et al.,
1993; Inaba et al., 1995; Morabito, 1995; Keijzer and
Loch, 1994).
The mussel contamination level appears rather low
compared to those found in other coastal living
organisms, in other places. Especially in two Euro-
pean sites, La Spezzia (Italia) and Zurich (Swiss),
butyl- and phenyltins in mussels were found to be
over 2500–11,890 and 1600–1930 Ag (Sn) kg�1,
respectively (Carlier-Pinasseau et al., 1996b). How-
ever, the comparison between these data remains
critical since weather conditions and human activities
are completely different.
4. Conclusion
For the first time, the level of contamination of the
Bizerte lagoon has been assessed, by using both LLE
and HS-SPME coupled to GC-PFPD. Even if some
matrix effects can remain, partly due to some lack of
selectivity of the PFPD, the speciation analytical
method based on these coupled tools has been
validated and appears suitable for environmental
monitoring, especially the HS-SPME.
In Bizerte lagoon, Tunisian area economically
very important, sediments and mussels appear
moderately polluted, mainly by butyltins. These
species come from industrial activities partly con-
nected to antifouling paints. Octyl- and phenyltins
were also found, these last species coming probably
from agricultural products. The most toxic trisub-
stituted compounds appear significantly degraded
into monosubstituted species, probably mainly in
water. However, the biodegradation seems relatively
slow and organotin can be accumulated in oxic
surface sediment (especially in the South of the
lagoon) and in mussels.
Because Tunisia has a long Mediterranean coast of
crucial economical interest, it is obvious that a larger
spatio-temporal organotin monitoring has to be
planned, including harbour areas. This is the condition
to have an evaluation of the actual organotin
contamination of the Tunisian marine environment.
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