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Distribution and sources of polycyclic aromatic hydrocarbons in the aquatic environment: a multivariate analysis

Distribuição e origem de hidrocarbonetos policíclicos aromáticos nos ambientes hídricos: uma análise multivariada

Abstracts

Fourteen polycyclic aromatic hydrocarbons (PAHs) included in the US Environmental Protection Agency's (EPA) priority pollutant list were analyzed using gas chromatography-mass spectrometry (GC--MS). Surface water sampling was undertaken in the Paraguaçu Estuary (Bahia), northern Brazil. Total PAH concentrations varied from 0.0029 to 0.1079 ng/L in the surface waters (main rivers, tributaries) with a mean value of 0.0344 ng/L. Such concentrations can be taken as background values for the studied region. The PAH profiles were dominated by low molecular weight PAHs (two- and three-ring components) in surface water samples. It indicated that PAHs in surface water may have its origin from oil or sewage contamination (petrogenic input). The collected data showed that petrogenic input was predominant at almost all the stations investigated. To discriminate pattern differences and similarities among the samples, a principal component analysis (PCA) was performed using a correlation matrix. PCA revealed the latent relationships among all the surface water from the investigated stations.

Polycyclic aromatic hydrocarbons (PAHs); surface water; source; gas chromatography-mass spectrometry (GC-MS); principal component analysis (PCA)


Nesse trabalho, 14 dos hidrocarbonetos policíclicos aromáticos (HPA) incluídos pelo Environmental Protection Agency (EPA) na lista de poluentes prioritários foram analisados através de cromatografia gasosa com espectrometria de massas acoplada (GC-MS). A amostragem das águas superficiais foi realizada no estuário do rio Paraguaçu e do rio Jaguaripe (Bahia), nordeste do Brasil. Concentrações totais de HPAs variaram de 0,0029 a 0,1079 ng/L em águas superficiais (rios principais, afluentes), com valor médio de 0,0344 ng/L. Tais concentrações podem ser tomadas como valores-base para a região estudada. Os perfis de HPAs foram dominados por HPAs de baixo peso molecular (dois ou três anéis de componentes) em amostras de água superficial. Isto é indicativo de sua origem a partir de óleo ou contaminação residual (entrada petrogênica). Os dados recolhidos mostram que entrada petrogênica foi predominante em quase todas as estações investigadas. Para discriminar diferenças e semelhanças entre as amostras, a análise de componente principal (ACP) foi realizada utilizando uma matriz de correlação. A ACP revelou as relações entre todas as águas superficiais das estações investigadas.

Hidrocarbonetos policíclicos aromáticos (HPA); água superficial; fonte; cromatografia à gás-espectrometria de massas (CG-EM); análise da componente principal (ACP)


GEOCIÊNCIAS

Distribution and sources of polycyclic aromatic hydrocarbons in the aquatic environment: a multivariate analysis

Distribuição e origem de hidrocarbonetos policíclicos aromáticos nos ambientes hídricos: uma análise multivariada

Joil José CelinoI; Henry Xavier CorseuilII; Marilda FernandesIII; Karina Santos GarciaIV

IDr. em Geologia Regional Laboratório de Estudos do Petróleo (LEPETRO) - Núcleo de Estudos Ambientais (NEA). Instituto de Geociências da UFBA (IGEO/UFBA) E-mail: joil@ufba.br

IIDr. em Engenharia Ambiental Laboratório de Remediação de Águas Subterrâneas (REMAS). Departamento de Engenharia Sanitária e Ambiental - Universidade Federal de Santa Catarina (UFSC) E-mail: corseuil@ens.ufsc.br

IIIDra. em Química Analítica Laboratório de Remediação de Águas Subterrâneas (REMAS). Departamento de Engenharia Sanitária e Ambiental - Universidade Federal de Santa Catarina (UFSC) E-mail: marilda@ens.ufsc.br

IVMSc. em Geoquímica e Meio Ambiente Laboratório de Estudos do Petróleo (LEPETRO). Núcleo de Estudos Ambientais (NEA). Instituto de Geociências da UFBA (IGEO/UFBA) E-mail: garciaks@ufba.br

Resumo

Nesse trabalho, 14 dos hidrocarbonetos policíclicos aromáticos (HPA) incluídos pelo Environmental Protection Agency (EPA) na lista de poluentes prioritários foram analisados através de cromatografia gasosa com espectrometria de massas acoplada (GC-MS). A amostragem das águas superficiais foi realizada no estuário do rio Paraguaçu e do rio Jaguaripe (Bahia), nordeste do Brasil. Concentrações totais de HPAs variaram de 0,0029 a 0,1079 ng/L em águas superficiais (rios principais, afluentes), com valor médio de 0,0344 ng/L. Tais concentrações podem ser tomadas como valores-base para a região estudada. Os perfis de HPAs foram dominados por HPAs de baixo peso molecular (dois ou três anéis de componentes) em amostras de água superficial. Isto é indicativo de sua origem a partir de óleo ou contaminação residual (entrada petrogênica). Os dados recolhidos mostram que entrada petrogênica foi predominante em quase todas as estações investigadas. Para discriminar diferenças e semelhanças entre as amostras, a análise de componente principal (ACP) foi realizada utilizando uma matriz de correlação. A ACP revelou as relações entre todas as águas superficiais das estações investigadas.

Palavras-chave: Hidrocarbonetos policíclicos aromáticos (HPA), água superficial, fonte, cromatografia à gás-espectrometria de massas (CG-EM), análise da componente principal (ACP).

Abstract

Fourteen polycyclic aromatic hydrocarbons (PAHs) included in the US Environmental Protection Agency's (EPA) priority pollutant list were analyzed using gas chromatography-mass spectrometry (GC-–MS). Surface water sampling was undertaken in the Paraguaçu Estuary (Bahia), northern Brazil. Total PAH concentrations varied from 0.0029 to 0.1079 ng/L in the surface waters (main rivers, tributaries) with a mean value of 0.0344 ng/L. Such concentrations can be taken as background values for the studied region. The PAH profiles were dominated by low molecular weight PAHs (two- and three-ring components) in surface water samples. It indicated that PAHs in surface water may have its origin from oil or sewage contamination (petrogenic input). The collected data showed that petrogenic input was predominant at almost all the stations investigated. To discriminate pattern differences and similarities among the samples, a principal component analysis (PCA) was performed using a correlation matrix. PCA revealed the latent relationships among all the surface water from the investigated stations.

Keywords: Polycyclic aromatic hydrocarbons (PAHs), surface water, source, gas chromatography-mass spectrometry (GC-MS), principal component analysis (PCA).

1. Introduction

Water pollution by organic compounds, many of which are known to be toxic or carcinogenic, has caused considerable and worldwide concern. Polycyclic aromatic hydrocarbons (PAHs), hydrocarbons containing two or more fused benzene rings, are a group of ubiquitous organic pollutants of great environmental concern because of the documented carcinogenicity in experiments with animals and the widespread occurrence of several of its members (Manoli et al., 2000). Due to their ubiquitous occurrence, recalcitrance and suspected carcinogenicity and mutagenicity, PAHs are included in the U.S. Environmental Protection Agency (EPA) and in the European Union priority lists of pollutants. The US EPA fixed 16 parent PAHs as priority pollutants, the latest being effective as of 1997 (Baumard et al, 1997; Mastral and Call´en, 2000; Magi et al., 2002; Szolar et al., 2002; Schubert et al., 2003). Some of these are considered to be possible or probable causes for human carcinogens and the endocrine disrupting activities of PAHs have been recently reported (Clemons et al., 1998; Brun et al., 2004). Therefore, their distributions in the environment and potential human health risks have become the focus of much attention.

The Todos os Santos Bay (TSB), located in northeastern Brazil, is the second largest coastal bay in the country (Figure 1), after São Marcos Bay. The three main drainage basins convey an average of 120 m³/s of freshwater into the Bay, but majority of this flow has been hindered by a dam in Paraguaçu River since 1985. The original average freshwater inflow was two orders of magnitude smaller than the estimated tidal discharge through the main Bay entrance. The Bay's oceanographic characteristics, as indicated by salinity measurements, are clearly marine (Lessa et al., 2001).


The tides are semi-diurnal, and are amplified up the Bay by a factor of 1.5. Shallow water constituents become more important as the tide propagates along the Paraguaçu Channel and Paraguaçu River, where they generate time asymmetries that change between spring and neap tides. Currents are mainly bi-directional, and are stronger during the ebbing tide in most of the Bay. Offshore, relatively strong tidal currents appear to be felt in a radius of about 10 km, where they are superimposed on wind-driven currents orientated to the southwest (Lessa et al., 2001).

The Paraguaçu Estuary, in the Maragojipe region, is part of the Todos os Santos Bay, which covers an area of around 1200 km² (Figure 1); water depth reaches 6 m except in navigation channels (9-11 m depth). The Paraguaçu and Jaguaripe estuaries are micro tidal environments and its hydrodynamics are controlled mainly by ocean flow (Leão & Dominguez, 2000). Water temperature distribution in the Paraguaçu Estuary, presents a warm season from December to March.

Three main watersheds drain into the TSB, namely the Paraguaçu, Subaé and Jaguaribe rivers (Figure 1), with long term average discharges of 112m³/s, 7.7m³/s e 0.32m³/s, respectively (CEPLAB, 1979, Wolgemuth et al., 1981). The first two empty into the northern and western margins of the TSB, whereas the third debauches very close to the mouth of the Itaparica Channel. These rivers probably have a minor impact on the oceanographic conditions inside the TSB (Lessa et al., 2001).

A majority of the surveys worldwide have been mainly focused on seawater (coastal of offshore) and estuarine water. However, little data is available for the PAH contamination of the inland waters of TSB, which usually acts as a receptor for sewage, industrial effluents and urban or rural run off (Celino & Queiroz, 2006). As streams and rivers, lakes and ponds are frequently used for potable water supply and water reuse is common, contamination of water sources is particularly undesirable (Manoli & Samara, 1999).

In Brazil, very limited studies for the monitoring of PAHs on surface water are performed (CETESB, 1979; CETESB, 1981; CETESB, 1990; CETESB, 2001; CRA, 2004). In order to evaluate the contamination status of PAHs in surface water from the estuarine region and aquatic environment, northern Brazil, an investigation has been performed with a quantitative GC-MS method.

2. Materials and methods

2.1 Chemicals

Standard PAHs (16 compounds specified on EPA Method 610, each at 100, 200, 1000 or 2000ng/mL) in a mixture were obtained from Supelco (Bellefonte, PA, USA). These compounds are as follows: naphthalene (Np), metil-naphthalene (mNp), dimetil-naphthalene (dNp), acenaphthylene (Acy), acenaphthene (Ace), fluorine (F), phenanthrene (Ph), anthracene (An), fluoranthene (Fl), pyrene (Py), chrysene (Chry), benzo[a]anthracene (BaAn), benzo[b]fluoranthene (BbFl), benzo[k]fluoranthene (BkFl), benzo[a]pyrene (BaPy), benzo[g,h,i]perylene (B[ghi]Pe) and dibenzo[a,h]anthracene (dB[ah]An). Internal deuteration standards for naphthalene-d8, acenaphthene-d10, phenanthrened10 and chrysene-d12 were obtained from Sigma-Aldrich.

Working standards of PAHs were prepared by combining the standard mixture with the corresponding IS stock solution, respectively. These solutions were further diluted with dichloromethane to prepare calibration solutions in the range 0.0001 - 0.0010 ng/µL. All solvents used for sample processing and analyses (dichloromethane, ethyl acetate, acetone, hexane and methanol) were of analytical grade and further distilled twice to remove impurities.

2.2 Area description and sampling

Todos os Santos Bay (TSB) is situated in the Northeast of Brazil. With a population of almost 2.1 million and the surface area of the Bay about 1.052 km², it is a huge commercial and industrial center.

The bay receives municipal effluents (discharged either untreated or with only primary treatment) of 1.5 million people (São Francisco do Conde, Cachoeira, Santo Amaro and Feira de Santana cities). In addition, it is the receptor of multiple industrial discharges including those of a metallurgic centre from the City of Santo Amaro and a major petroleum refinery Landulfo Alves - Mataripe (LAM) (Figure 1). To date, information regarding the local pollution level and its effects is very limited (Veiga, 2003).

There are mainly two rivers flowing into TSB: Paraguaçu River and Jaguaripe River. Surface water samples (2.0 L) were collected (0-10 cm) by using cylinder samplers aboard a chartered vessel during axial surveys in February and July, 2007, and the nine locations of the sampling sites of surface water are shown in Figure 1. Samples were taken using pre-cleaned and ashed glass bottles. Throughout the survey, a global positioning system was used to locate the sampling positions, and various sensors, including ones for conductivity, temperature and depth, were deployed for obtaining these master variables (Table 1).

2.3 Sample treatment, extraction and analyses

Salinity, temperature, dissolved oxygen concentration, Eh and pH data of the superficial water was obtained.

After returning to the laboratory, aliquots of the sample (1.0 L) were filtered through 0.45µm microporous filter membrane under vacuum in order to remove algae, zooplankton and suspended particles and a measured aliquot of an internal standard mixture containing naphthalene-d8, acenaphthene-d10, phenanthrene-d10 and chrysene-d12 was added to each sample. The cartridges were first conditioned with 2×5mL of methanol followed by 2×5mL of deionized water. Water samples were passed through the cartridges at a flow rate of 6 mL/min under vacuum.

Following extraction, the cartridges were eluted with 6mL of ethyl acetate, which was combined with an ethyl acetate rinse (5 mL) from the extraction glassware. After water was removed from the extracts by ashed Na2SO4, the volume of the extracts was reduced by N2 blow-down in a water bath (35°C) to a final volume of 1 mL.

The analysis was performed on a 50 m fused-silica column (0.32 mm i.d.), coated with CPSil5-CB (0.25µm thickness). Helium was used as the carrier gas at the flow rate of 1.5 mL min-1 (pressure 0.8 kPa). The following temperature program was employed: 70°C to 280°C with ramping at 4°C min-1. Injection and detection temperature were held at 320°C. Detection was monitored by a flame ionization detector (FID). The structure of PAHs was confirmed by gas chromatography coupled to mass spectrometry (trace 2000 GC-MS, Thermo Finnigan, USA). A fused-silica DB-5MS capillary column (30m×0,32mm i.d., 0.25µm film thickness) was used. Helium with a purity of 99.999% was used as the carrier gas at a constant flow rate of 1.0 mL/min. A 2µL volume was injected by applying the hot splitless injection technique. The temperature program of the oven was started at 70°C (for 1 min) and increased at a rate 10°C/min to 300°C and was held for 10 min. The mass spectrometer was operated in the electronic impact (EI) mode with an ion source at 200°C and the electron impact energy was set at 70 eV. Identification of the PAH compounds was performed by comparing GC retention time with those of authentic standards. Quantification of individual compounds was based on the comparison of peak areas with those of the recovery standards.

Before sample analysis, relevant standards were analyzed to check column performance, peak height and resolution, and the limits of detection (LOD). With each set of samples to be analyzed, a solvent blank, a standard mixture and a procedural blank were run in sequence to check for contamination, peak identification and quantification. Compounds were identified mainly by their retention times.

All data were subject to strict quality control procedures. For PAHs, deuterated IS was used to compensate for losses involved in the sample extraction and work-up. The four IS in water were determined with good precision, and their recoveries ranged from 70±5 to 93±10% for water samples. Detection limits derived from replicate procedural blanks were approximately 0.0001 ng/L. GC/MS data was acquired and processed by using the Xcalibur software.

In order to explore more latent relationships among all the stations investigated, the principal component analysis (PCA) was applied to the results obtained. PCA reduces the number of variables in the original data set into fewer factors (or principal components) without significant loss in the total variance of the data. The loading that each variable in the original data contributes to the principal components enables grouping of data with similar behaviors.

3. Results and discussion

3.1 PAH concentrations and compositional patterns

The concentration ranges of individual and total PAHs in surface water are shown in Table 1.

The total PAH concentrations ranged from 0.0029 to 0.1079 ng/L in surface waters (main rivers, tributaries, ditches, etc.) with mean value of 0-0415 ng/L (Table 1). The highest concentration of surface water was observed at station S3, which is situated at the mouth where the Iguape River merges into the main river - Paraguaçu River (Figure 2).


The compositional pattern of PAH by ring size along the contamination gradient is shown in Figure 2. It is clear that two- and three-ring PAHs (naphthalene, acenaphthylene, acenaphthene, fluorine, phenanthrene and anthracene) are the most abundant PAHs, which correspond to 35 and 10% of total PAHs in surface water, respectively. In addition, four and five-ring PAHs on average correspond to 90 and 65% of total PAHs in surface water, respectively. Fluorine is one of the most frequently detected compounds in almost all of the surface water samples.

Although PAHs do not show extremely high acute toxicity towards aquatic organisms, the low molecular mass PAHs tend to be more toxic than the high molecular mass PAHs (WHO, 1998). The concentrations of PAHs in waters exceeding 10.000ng/L suggested that the water was heavily contaminated by PAHs (WHO, 1998). A lethal concentration (LC50) as low as 10.000 ng/L has been reported for various organisms (Barron et al., 1999).

3.2. Sources of PAHs

The ratios of Ph/An within the two-ring PAH group and Fl/Py within four-ring PAH group were used to differentiate PAHs of distinct origins (Table 1): Ph/An > 15 for petrogenic sources and Ph/An < 10 for pyrolytic sources. Due to the wide range of values for this index found in literature, values between 10 and 15 are not considered precise relating to the source (Yang, 2000; Sanders et al., 2002).

Likewise, discrimination also occurs in the fluoranthene/pyrene (Fl/Py) ratio, when a value greater than 1 is classically related to pyrogenic sources (Tam et al., 2001). Hence, in combination, a Ph/An ratio value of <10 and Fl/Py ratio of >1 indicates that the PAHs originate from pyrogenic sources (Sanders et al., 2002). The ratios of Ph/An, Fl/Py in surface water were calculated and are listed in Table 1. As shown in Table 1, almost all the ratios of Ph/An < 15 and Fl/Py < 1 are indicating that the PAHs are related to petrogenic sources.

In order to explore more latent relationships among all the stations investigated, the principal component analysis (PCA) was applied to the obtained results.

Distribution of the PAHs data for surface water among the primary and secondary principal component axes is shown in Figure 3. The two principal components selected are able to account for 51% of total variance of the original data. The first and second PCs in surface water represented 29% and 22% of the variability, respectively.




There are three groups discriminated on the factor loading plot (Figure 3A). Group A clusters samples of stations 1 and 9; group B, samples collected from stations 3 and 5; group C contains samples collected from stations 2, 4 and 6 to 8. The discrimination in three groups was confirmed by hierarchical clustering analysis (HCA), using complete linkage and Euclidean distances.

As shown in Figure 3A, group A is characterized by the negative axes of both principal components; on the other hand, from Figure 3B, this quadrant is dominated by phenanthrene. It indicated that phenanthrene contributed significantly to the samples in group A, and the prominent contribution of phenanthrene over the contribution of the other PAHs was notable.

The samples in group B got their contribution mostly from fluorine, which dominated the PAHs. However, compared with group A, the samples in group B gave a relatively high contribution to factor 2. This conclusion can be confirmed by Figure 3B.

4. Conclusions

The PAH profiles for the water samples revealed that the dominant PAHs were low molecular weight (two- and three ring) PAHs in a surface water aquatic environment including naphthalene, acenaphthylene, acenaphthene, fluorine, phenanthrene and anthracene.

The PAHs in surface water samples originated mainly from petrogenic inputs based on the high proportion of two-ring (naphthalene) and three-ring PAHs. Although the calculated ratios of Ph/An, Fl/Py and principal component analysis are usually performed to analyze the origin of PAHs in sediments, we attempted to apply the ratios and PCA to the surface water in this study. The analysis results showed that the ratios and PCA could be applied to surface water investigation to some extent.

Oil spill and leakage from boats and ships, vehicular exhaust emission, discharge from municipal and industrial wastewater and runoff might be important sources. It indicates that surface water received anthropogenic PAHs from different sources and although specific sources are known to be responsible for the presence of PAHs in surface waters, their occurrence cannot always be related to a particular source. This indicates that the studied area doesn’t show any modern environmental impact and that it can be used as a background in order to identify the typical geochemical signature of non-impacted ecosystems in Todos os Santos Bay, Brazil.

5. Acknowledgements

This research project was supported by the financial help of the Brazilian Science and Technology Ministry Project FINEP - CT-PETRO n° 640002700. JJC wishes to thank the Research Foundation of the State of Bahia - FAPESB - for granting him a research scholarship n° 297/2007.

6. Bibliographic references

Artigo recebido em 08/04/2008

Aprovado em 21/10/2009.

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Publication Dates

  • Publication in this collection
    14 June 2010
  • Date of issue
    June 2010

History

  • Received
    08 Apr 2008
  • Accepted
    21 Oct 2009
Escola de Minas Rua Carlos Walter Marinho Campos, 57 - Vila Itacolomy, 35400-000 Ouro Preto MG - Brazil, Tel: (55 31) 3551-4730/3559-7408 - Ouro Preto - MG - Brazil
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