Pharmaceuticals are referred to as new emerging pollutants, because their presence has been investigated relatively recently and their impact on the environment is not fully explored. Non-steroidal anti-inflammatory drugs (NSAIDs) are some of the most often investigated and detected pharmaceuticals in water samples all over the world (Nödler et al. 2014). They are present in raw and treated wastewater (Nikolaou et al. 2007), surface water – rivers (Camacho-Muñoz et al. 2010), lakes (Li et al. 2010), estuaries (Lara-Martin et al. 2014), ground water (Sui et al. 2015) and finally in drinking water (Caban et al. 2015). This situation is connected with the high mass of marketed painkillers, especially those without prescriptions, incomplete metabolism in the human body and low efficiency of the removal of pharmaceuticals in conventional wastewater treatment plants (WWTP). It should be added that the consumption of pharmaceuticals, especially NSAIDs, in Poland is among the highest in the world (Willert 2007).
Pharmaceuticals are known to be absorbed by water organisms and to negatively affect their physiology and metabolism (Ericson et al. 2010; Oskarsson et al. 2014; Schmidt et al. 2011). Some negative effects include: a lower growth rate, an increase in the mortality of individuals, an increase in oxygen consumption and excretion. The effects of NSAIDs on a mussel as a non-target organism are different than well-known inflammatory effects on the human body (Gagne et al. 2005). In addition, they can be transferred upward through trophic levels (the process of biomagnification) (Oskarsson et al. 2014). The first assessments of the chronic effect of low doses of pharmaceuticals on mussels have been performed (Cleuvers 2003; Parolini et al. 2011). There is a risk that toxic substances negatively affect the byssus, hindering its adhesion (Lachance et al. 2008). Furthermore, the low salinity of the Baltic Sea makes the organisms living there highly sensitive to hazardous substances (Kautsky et al. 1997).
The biggest WWTP in Pomerania, discharging waters to the Gulf of Gdańsk, is Gdańsk-Wschód, and high concentrations (μg l-1) of NSAIDs were determined during the last four years in raw and treated wastewater in this plant (Caban et al. 2014; Migowska et al. 2012). Furthermore, the same compounds were detected in seawater collected from the Gulf of Gdańsk, at a level of several dozen ng l-1 (Borecka et al. 2015; Pazdro et al. 2016). Bearing this information in mind as well as the fact that selected pharmaceuticals have the established potential for accumulation (Nikolaou et al. 2007), the occurrence of high concentrations of NSAIDs in organisms living in the Gulf of Gdańsk is highly possible.
To verify this statement, a screening test was conducted. As mentioned above, the test organisms of the
Chemical structures and basic characteristics of target pharmaceuticals
Compound | Chemical structure | Compound | Chemical structure |
---|---|---|---|
Ibuprofen (IBU) |
Paracetamol (PAR) |
||
Flurbiprofen (FLUR) |
Naproxen (NAP) |
||
Diclofenac (DIC) |
Ketoprofen (KET) |
||
17α-Ethynylestradiol (EE2) |
Organic solvents were purchased from Chempur (Piekary Śląskie, Poland), while standards (min. 98% of purity) from Sigma Aldrich (Germany).
Both water samples and mussels were collected from the Gulf of Gdańsk in October 2015. The geographical coordinates were 54°39’N 18°34’E. The sampling site is located in the outer part of Puck Bay (part of the Gulf of Gdańsk). This area can be impacted by the stream of pharmaceuticals from the mouth of a sewer “Dębogórze” (WWTP). Furthermore, brine waters are discharged near the sampling site. Both streams, treated wastewaters and brines, can affect the condition of mussels, while these waters contain a large load of organic matter and salts (Wolowicz & Sokolowski 2006). The organisms were collected at a depth of 12 m. The water temperature was 15.1°C, whereas the salinity was 7 PSU. Water samples were collected in glass bottles. Mussels were collected using a dredge. The lengths of individuals were measured with a Digmatic caliper (accuracy of 0.01 mm), and samples were divided into four groups: 1.1-2 cm, 2.1-3 cm, 3.1-4 cm, and 4.1-5 cm. Mussels were dried on filter paper and the bodies were dissected from the shell and weighed. The wet mass was determined using a Mettler Toledo balance XS 2005 Dual Range with an accuracy of 0.001 g. In order to determine the condition of the animal, the dry weight (W)/length (L) ratio of individuals was determined using Laglers’ formula (Wolowicz & Sokolowski 2006), where a – the proportionality constant or intercept and b – the exponent. The prepared material was frozen at -80°C and then lyophilized using the Steris Lyovac GT2 lyophilizer to a constant weight.
The water samples were extracted using the solid-phase extraction technique (SPE). The 1500 ml samples were filtered and extracted using Disk H2O-Philic DVB speedisks (J.T. Baker), manufactured for the fast and efficient extraction of high-volume water samples. The washing step was done using hexane (15 ml), while elution using methanol (15 ml) (Caban et al. 2015). The extracts were then concentrated and transferred to chromatographic vials. The water samples were analyzed in duplicate.
The mussel tissue dry material was analyzed separately for each size category, starting with homogenization using a mortar. Then 1 g of material was extracted using pressurized liquid extraction performed by a Dionex ASE 200 extractor (1500 psi, 100°C) and the water:methanol mixture (1:1, v:v). The extracts (20 ml) were diluted using pure water to obtain 500 ml and cleaned up using the already described SPE procedure (using Strata-X, Phenomenex, 200 mg).
The internal standard 2-methylantracene was added to all extracts. After the evaporation of the solvent, the derivatizing reagent (BSTFA +1% TMCS) was added and the derivatization reaction took place in a hitting block (60°C) for 30 min. After the reaction and ambient cooling, the obtained samples were analyzed using a gas chromatograph coupled with a mass spectrometer (GC-MS). The SIM mode (selected ion monitoring) was used for the purpose of quantitative and qualitative analysis. All of the GC-MS parameters were previously optimized (Kumirska et al. 2015). The appropriate instrumental validation was done and the validation parameters were satisfied. The recovery experiment was also conducted using spiked samples and the recovery was min. 90% for the water samples and 60% for the solid samples for all target analytes. The method detection limits (MDLs) and the method quantification limits (MQLs) were in the range of 1 to 10 ng g-1 and 3 to 31 ng g-1 of dry weight tissue, respectively. MDLs and MQLs of pharmaceuticals in water samples were between 1-4 ng l-1 and 4-12 ng l-1, respectively. The precision of the determination of pharmaceuticals in both water and solid samples was below 17%. The blank water samples did not contain analytes.
The bioaccumulation factor (
where:
Table 2 presents the numbers of sampled individuals of
Numbers and masses of sampled individuals of
Mussel size categories (cm) | Number of individuals | Total wet mass in size categories (g) | Total dry mass in size categories (g) | % of water |
---|---|---|---|---|
1.1 - 2 .0 | 63 | 8.765 | 1.350 | 84.6 |
2.1 - 3.0 | 151 | 60.467 | 5.600 | 90.7 |
3.1 - 4.0 | 141 | 103.551 | 8.200 | 92.1 |
4.1 - 5 | 10 | 7.810 | 1.020 | 86.9 |
Total | 365 |
To show the condition of the investigated individuals, the regression equation estimating the relation between the shell length (L) and the tissue dry weight (W) of
The SPE-GC-MS(SIM) protocol was used for the analysis of water samples collected from the same place as mussels. Of the seven pharmaceuticals tested, the presence of three analytes was confirmed. PAR was found at a concentration of 28 ng l-1, KET at 25 ng l-1, while FLUR at 13 ng l-1. The relative standard deviation between repetitions was about 10%. The residues of pharmaceuticals (PAR, FLUR, EE2) were detected only in the 4.1-5 cm size category and consequently, only the results for this class are presented in Table 3. The determined concentrations of pharmaceuticals are in the range of 80-310 ng g-1 of dry weight of mussel tissues.
Concentrations of pharmaceuticals found in
Mussel size categories | Found pharmaceuticals | Concentrations | BAF (using wet weight) | BAF (using dry weight) | |
---|---|---|---|---|---|
ng g−1 of dry weight | ng g−1 of wet weight | l kg−1 | |||
4.1-5 cm | PAR | 80 | 10.5 | 373 | 2850 |
FLUR | 210 | 27.5 | 1718 | 16154 | |
EE2 | 310 | 40.4 | - | - |
The BAF can be calculated when the analyte is present both in the water and tissue samples. In the case of our study, BAFs values were calculated for PAR and FLUR. The BAF is preferably calculated using dry weight (U.S. EPA, 2000), thereby these values will be discussed.
The determined concentration levels of pharmaceuticals in water samples were similar as in the previous experiments conducted by our department (Caban et al. 2014). PAR is one of the most frequently determined pharmaceuticals in wastewater and surface water in Poland (Caban et al. 2014; 2015), because of its common use in our population as a painkiller and an anti-inflammatory drug. In addition, PAR is the most polar compound and thus better soluble in water than other NSAIDs (Table 1). PAR as well as other NSAIDs can be accumulated in the sediments of estuaries (Stewart et al. 2014). This environment is a contact zone between fresh and saline water, and pollutants which enter with fresh water as soluble fractions can precipitate in a saline environment, because of the salting-out effect. PAR, despite low lipophilicity and low potential for accumulation, was determined at a high concentration in the tested mussel tissue. The high tendency of PAR to absorb was also reported for the fresh-water mussels
Other commonly used NSAIDs: IBU and DIC were not detected in our study, while these compounds were detected in different organisms (phytoplankton, zooplankton, mussels, snails, bivalves, common carp, lake anchovy, crucian carp) in Lake Taihu in China, as well as in water samples collected from this environment (Xie et al. 2015). IBU was detected at the highest concentration, i.e. about 100 ng l-1. In mussels living in lakes, IBU was not detected, while BAF calculated for DIC was equal to 70 l kg-1 (Xie et al. 2015). In the case of FLUR, the presented study is the first one that investigated this pharmaceutical in seawater and mussels, thereby the results cannot be compared.
The presence of PAR in the tested mussel tissue is frightening, because of the fact that the cyto-genotoxicity of paracetamol on mussels has been proven (Parolini et al. 2010). PAR and other NSAIDs – salicylic acid, were detected in
EE2 is an estrogen responsible for the disruption of the serotonin receptor and cyclooxygenase mRNA expression in
The calculated BAFs can be compared to the categorization criteria of different protocols and organizations (Table 4).
Guidelines for bioaccumulation categorization (review in Arnot et al. 2006)
Regulatory program | Criteria | Categorization | Reference |
---|---|---|---|
Canadian Environmental Program Act (1999) | BAF or BCF = 5000 l kg−1 or log Kow > 5.0 | Bioaccumulative | Government of Canada 1999 |
United Nations Environmental Programme Stockholm Convention (2001) | Bioaccumulative | UNEP 2001 | |
Washington State Department of Ecology (2004) | Bioaccumulative | Washington State Department of Ecology 2004 | |
Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) is a European Union (2007) | BCF > 2000 l kg-1 | Bioaccumulative | REACH 2007 |
BCF > 5000 v | Very bioaccumulative | ||
US EPA (1996) | BAF > 2000 l kg−1, or log Kow > 4 | Bioaccumulative | United States Environmental Protection Agency 1996 |
Bearing in mind only a log Kow parameter, only FLUR and DIC can be defined as bioaccumulative (according to U.S. EPA 1996, U.S. EPA 2010). Based on BAFs calculated in our study using a wet weight, it can be stated that PAR and FLUR are not bioaccumulative in
In the case of EE2, the concentration in mussels was high, but because it was not found in water samples, BAF cannot be calculated for this compound. In the study by Pojana et al. (2007), which tested endocrine disrupting the compounds in freshwater mussels, BCF values for EE2 ranged from 1300 to 1500 l kg-1 (Pojana et al. 2007). This means that this synthetic estrogen has a very high potential for bioaccumulation.
The measured concentrations of target pharmaceuticals can potentially affect the condition of mussels. In the work of Ericson et al. (2010),
It was reported that DIC at a concentration often found in water can induce tissue-specific biomarker responses in
It should be added that metabolites of pharmaceuticals in mussel tissues were not determined. It is known that the same path of metabolism for pharmaceuticals occur in both human and mussel bodies, and glucuronide, sulfate conjugated and hydroxy metabolites of NSAIDS can be found in water organisms (Kallio et al. 2010; Netherton 2011).
The preliminary screening of six non-steroidal anti-inflammatory pharmaceuticals (ibuprofen, ketoprofen, diclofenac, paracetamol, flurbiprofen, naproxen) and synthetic hormone 17α-ethynylestradiol in
The presence of EE2 in the tested mussels is frightening, especially when this information is coupled with fact that much more anthropogenic substances can be found in mussels living in coastal areas of Europe (Álvarez-Muñoz et al. 2015, Olenycz et al. 2015). Mixtures of chemical compounds with the most endocrine-disrupting potential most likely have a negative impact on a water organism. The
The presented preliminary study (one study site, single samples and organisms) provides the first information that the bioaccumulation of pharmaceuticals in the Baltic mussels is highly possible. More reasonable conclusions can be presented when further data become available. To conclude, there is a strong need for further research and comprehensive assessment of the impact of pharmaceuticals on