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Revista internacional de contaminación ambiental

versión impresa ISSN 0188-4999

Rev. Int. Contam. Ambient vol.37  Ciudad de México  2021  Epub 06-Jun-2022

https://doi.org/10.20937/rica.53850 

Articles

HEAVY METALS BIOACCUMULATION AND RISK ESTIMATION IN EDIBLE FRESHWATER FISH FROM PEDROSO RESERVOIR (MAYABEQUE, CUBA)

BIOACUMULACIÓN DE METALES PESADOS Y ESTIMACIÓN DEL RIESGO DE EXPOSICIÓN POR CONSUMO DE PECES DE AGUA DULCE PROVENIENTES DE LA PRESA PEDROSO (MAYABEQUE, CUBA)

María A. Mesa Pérez1  * 

Oscar Díaz Rizo2 

Humberto García Acosta3 

Onelia Adriana Alarcón Santos1 

Marie J. Tavella4 

David Bagué4 

José M. Sánchez-Pérez4 

Lilisbet Guerrero Domínguez5 

Daylen Hernández Rodríguez1 

Carlos Miguel Díaz Almeida6 

1Universidad Agraria de La Habana, Carretera de Tapaste y Autopista Nacional, San José de las Lajas, Mayabeque, Cuba, C.P. 32700.

2Instituto Superior de Tecnologías y Ciencias Aplicadas, Universidad de La Habana, Av. Salvador Allende y Luaces, La Habana, Cuba, C.P. l10400.

3Empresa Provincial de Aprovechamiento Hidráulico, km 3.5 Carretera de Güines, Güines, Mayabeque, Cuba, C.P. 34310.

4Laboratoire d’Ecologie Fonctionnel et Environnemental, Université Toulouse 3, Avenue del´Agrobiopole, BP3 2607 31326, Castanet, Tolosan, Toulouse, France.

5 Instituto Nacional de Ciencias Agrícolas, km 3.5 Carretera de Tapaste y Autopista Nacional. San José de las Lajas, Mayabeque, Cuba, C.P. 32700.

6 Universidad de Matanzas, km 3.5 Autopista a Varadero (Vía Blanca), Ciudad de Matanzas, Matanzas, Cuba, A.P. 44740.


ABSTRACT

This work is a validation of the second step of a heavy metal monitoring procedure in Cuba fluvial ecosystems. Concentrations of seven heavy metals were measured by ICP-MS in water samples collected from the Pedroso reservoir (Mayabeque province, Cuba) and its main tributaries, as well as in edible muscle of three locally consumed fish species: Oreochromis spp., Tinca tinca and Clarias gariepinus. The results show a high concentration of Pb in areas near a paint factory (85.5 μg/L), an asphalt factory and a high traffic area (345.8 μg/L). Metal content (in mg/kg ww) in fish fillet ranged as follows: Cr (0.01-0.58), Co (0.01-0.58), Cu (0.23-88.16), Zn (4.9-29.9), As (0.01-0.86), Cd (0.02-2.93) and Pb (0.01-1.23). According to Cuban regulations, concentrations of Cd in muscle are not safe in 37.5 to 44.0 % of the studied fishes, while Pb is high in 14.0 to 20.0 %. Non-carcinogenic risk (HI) is present when daily intake is above 81 g/day. Carcinogenic risk (ELCR) is calculated to be 5.8 × 10-4 according to the US-EPA methodology. Fishermen families are the most sensitive population sector. Local authorities were informed and different measures were taken to avoid polluted fish consumption and the reduction of pollutant sources.

Key words: heavy metals; water; fish; bioaccumulation; food safety; Cuba

RESUMEN

Este trabajo constituye la validación de la segunda etapa del procedimiento de monitoreo de metales pesados en ecosistemas fluviales de Cuba y mide la concentración de siete metales pesados por ICP-MS en muestras de agua recolectadas en la presa Pedroso (provincia de Mayabeque, Cuba) y sus principales tributarios, así como en el músculo ventral de tres especies de peces utilizadas para consumo humano y animal: Oreochromis spp., Tinca tinca y Clarias gariepinus. Los resultados muestran altas concentraciones de Pb en áreas cercanas a la fábrica de pintura (85.5 μg/L), de asfalto (85.5 μg/L) y a la Autopista Nacional (345.8 μg/L). Las concentraciones de metales pesados (mg/kg peso húmedo) en el músculo del pescado fueron: Cr (0.01-0.58), Co (0.01-0.58), Cu (0.23-88.16), Zn (4.9-29.9), As (0.01-0.86), Cd (0.02-2.93) y Pb (0.01-1.23). De acuerdo con las regulaciones cubanas, las concentraciones de Cd no son recomendables para el consumo en el 37.5-44.0 % de los peces evaluados, mientras que el Pb es elevado en el 14-20 % de los mismos. Se presenta riesgo no carcinogénico (HI) en las poblaciones aledañas cuando el consumo de pescado contaminado alcanza los 81 g/día. El riesgo carcinogénico (ELCR) fue estimado en 5.8 × 10-4 de acuerdo con la metodología de la US-EPA. Los pescadores y sus familias son la población en mayor riesgo de padecer una enfermedad crónica o desarrollar cáncer relacionado con la contaminación por metales pesados en el área. Las autoridades gubernamentales y sanitarias fueron informadas y actualmente se toman medidas para evitar el consumo de peces y disminuir el impacto de las fuentes contaminantes.

Palabras clave: metales pesados; agua; peces; bioacumulación; seguridad alimentaria; Cuba

INTRODUCTION

Heavy metals are among the most common environmental pollutants and their occurrence in waters and biota indicate the presence of natural or anthropogenic sources.

The existence of heavy metals in aquatic environments has become a serious threat due to their toxicity, bioaccumulation, long persistence, and biomagnification in the food chain (Erdoĝrul and Ates 2006, Agah et al. 2009, Yi and Zhang 2012, Monroy et al. 2014).

The Mampostón basin is the smallest hydrological and hydrographic system (157.8 km2) of the Mayabeque River basin in the center of the Cuban province of the same name. It is surrounded by agricultural and livestock lands as well as by highly industrialized areas. The urbanizations of San José de las Lajas and Güines municipalities are also located nearby (Fig. 1).

Fig. 1 Location of the studied stations in the Ganuza River (G), Mamposton River (M) and Pedroso reservoir (P). 

This hydrographic unit was remodeled in 1970 with the construction of two artificial reservoirs: Pedroso (with a capacity of 4 Mm3) and Mampostón (150 Mm3). Both Mampostón river and its tributary Ganuza flow their waters (as well as their potential contaminant charge) into Pedroso reservoir. This water is pumped toward the Mampostón reservoir, which has no direct contaminant source, and it is subsequently sent to irrigate the crops in the southwest region of the most important agricultural zone of the western Cuban provinces via the artificial channel Mampostón-Güira de Melena. Furthermore, the Pedroso reservoir has an overflow channel into the Mayabeque River and its waters are used to irrigate the sugar cane fields located on the eastside of the Mayabeque province.

On the other hand, an important aquaculture center is located on the Mampostón reservoir, focused on tilapia (Oreochromis spp.), tench (Tinca tinca) and catfish (Clarias gariepinus) farming. Fishery activities in the Mampostón reservoir are authorized, while in the Pedroso reservoir they are not. This has led to many locals to furtively capture fish from the Pedroso reservoir and later commercializing the product without first studying its environmental quality parameters. Therefore, the goal of the present study was to determine the heavy metal content in water samples from the Pedroso basin and its tributaries, metal accumulation in the edible muscle of the previously mentioned fish species, and the potential and real risk of different populations in the area.

MATERIALS AND METHODS

Collection and analysis of water samples

Water samples were collected at the beginning of the rainy season at 13 stations located near the previously considered potential contamination sources (Fig. 1): four stations in the Ganuza river (G1: 100 m north of the dairy factory, G2: 50 m south of the dairy factory, G3: 100 m south of a rum factory, and G4: 50 m south of paint factory); five stations in the Mampostón river (M1: 100 m south of an aluminum factory and 50 m north of an asphalt factory, M2: 50 m south of an asphalt factory, M3: in the national highway bridge, M4: in a free zone, and M5: 100 m south of a research center); and four stations in the Pedroso reservoir (P1: Americano River flow into the reservoir, P2: Mampostón River flow into the reservoir, P3: center of the reservoir, and P4: overflow channel of the Pedroso reservoir).

Water samples were collected in the middle of the rivers or 5 m offshore in the reservoir, using acid-washed five-liter nonreactive plastic containers. In the laboratory, samples were first filtered through a Wacksman 70 µm filter to separate the organic particulate fraction, then through a 22 µm cellulose filter to separate the metallic diluted and colloidal fraction from the particulate one.

Fish sampling and analysis

Fish species were selected using two criteria: (i) their consumption by local population, and (ii) their feeding behavior. Tilapia fish consume plant tissue, small fish, shrimp, detritus, and sediments, whereas tench are omnivores fishes with a diverse food spectrum, including bottom invertebrates and aquatic insect larvae. On the other hand, catfish represent the dominant predator in Cuban freshwater ecosystems, feeding off other fishes, insects, crustaceans, plankton, rotting flesh and plants, and trash fish.

Seventy-eight fishes of the studied species were captured by a local fisherman using fishing nets (ø 1 cm2). Fishes were captured in the Pedroso Reservoir during two months at the beginning of the rainy season. Number of samples (96), represents 10 % of estimated annual fishery, around 9350 kg (MIP 2008).

Fishes were measured and weighted on site. Muscle tissue samples were obtained from the ventral area and the fillets were frozen at -20 ºC. Back in the laboratory, muscle samples were firstly dried at 60 ºC, immersed in liquid nitrogen and macerated until fish flour was obtained. The macerated samples were again dried at 60 ºC until a constant weight was obtained.

The total concentration of heavy metals was obtained by digestion mixturing 100-150 mg of the animal’s dry flour with 5 mL HNO3 70 % and 5 mL H2O2 30 % (Huang et al. 2003, Wang et al. 2007). Heavy metals (Cr, Co, As, Cu, Zn, Cd, and Pb) were determined by ICP-MS Agilent Technologies 7500 CE and HR-ICP-MS Thermo Scientific Element XR at the Observatoire Midi-Pyrénées, Toulouse, France. An115In/187Re internal standard of a known concentration (2.032 µg/L) were added to all samples and four quality control samples were introduced following every eight samples to correct for any analyzer deviation. All the determined concentration values were within the detection and quantification limits of the equipment (50 pg/g).

Certified materials SRLS-5 and Tort-2, from the Canadian National Water Research Institute, were used as the calibration verification standards for both water and fish muscle, respectively. For both materials, the results were: 80-89 % of average recovery for Cu, Cd, Zn, Cr, and As; 90-99 % for Pb and 100-110 % for Co. All data were evaluated for normality using the Kolmogorov-Smirnov test and the SPSS 9.0 software. The variability between medians was established by ANOVA and Duncan. Results were considered significant if p < 0.05.

The bioaccumulation factor (BAF), which describes the concentration of a metal in water (Cw) to its concentration in an aquatic animal (Cm) at equilibrium, is generally used to estimate the proneness of the biota to accumulate heavy metals and it is calculated as:

BAF = Cm/Cw (1)

where C m (mg/kg ww) refers to the metal concentration in flesh and C w (μg/L) to metal concentration in water. If BAF > 1.0, metals bioaccumulation occurs in fishes (Canpolat et al. 2014).

Potential and real risk analysis

The methodology for the estimation of excessive lifetime cancer risk (ELCR) and the hazard quotient (HI) was based in the US-EPA Region III risk-based concentration table (US-EPA 2006) using the formulas specified below (Ling et al. 2009):

HQi=Ci × DI × EFr × EDHQCSFo × BWa3BWmsC × BWa × ATHQ × 103 (2)

HI= HQi= HQAs+HQCu+ HQPb+HQCd+HQZn (3)

ELCR=C×DI×EFr×EDELCRCSFo×BWa3BWmsC×BWa×ATELCR×103 (4)

where ELCR is the carcinogenic risk associated with As exposure for fish ingest; HQ is the non-carcinogenic risk for each heavy metal; HI is a hazard index that may result in additive and/or interactive effects of different heavy metal to non-carcinogenic risk (Li et al. 2013, Zaha and Zaman 2013); C (mg/kg) is the heavy metal concentration in flesh muscle (we assumed that a worse scenario [potential risk] is bond to the maximal concentration tested [US-EPA 2006], while the expected scenario [real risk] is related with the average concentration tested [Giri and Singh 2014]); ED ELCR is a lifetime record in Cuba population, fixed in 76 years for men and 80 years for women (INE 2019); ED HQ is a time of exposure fixed in 30 years for adults (US-EPA 2006); DI (g/day) is the daily fish intake; EF r (day/year) is the frequency of exposure; AT ELCR and AT HQ are a number of days corresponding to ED ELCR and ED HQ , respectively; CSFo <is this subscript a zero or an o? (and all the others in these formulas)> is the slope factor for As from the Integrated Risk Information System (IRIS) database provided by USEPA (1.5 mg/kg/day); RfDo is the oral reference doses for each metal from the IRIS database: 1 × 10-3, 4 × 10-2, 3.5 × 10-3, 3 × 10-1, and 3 × 10-4 mg/kg/day for Cd, Cu, Pb, Zn, and inorganic As, respectively (US-EPA 2010) (it is necessary to clarify that for estimating HI and ELCR we assumed that that the first ingested dose was equal to the absorbed pollutant dose and cooking had no effect on the pollutants [US-EPA 2006]); BW msC is the average body weight value for Cuban population considering a significant difference between genera: 61.3 kg for women and 69.6 kg for men (INE 2019); and BW a (kg) is the weigh body in each people tested.

Data for local variations (unknown or unpublished) of BW a , DI, and EF r were obtained using a survey method (Giri and Singh 2014) in the influence area of the Pedroso dam.

The minimal sample dimension for 95 % confidence (n h ) was obtained using the criterion of Cochran (1981) in three of the studied towns with total population N h < 2000 inhabitants. In the remaining two studied towns, with N h > 4000 inhabitants each, the used criterion to established n h was to survey 10 % of N h . The total population survey was 2939 inhabitants from a total 23 733 (12.38 %). The risk assessment calculations were performed for each person separately and were subsequently grouped in a frequency graph to illustrate the potential and actual risks for different consumption patterns.

RESULTS AND DISCUSSION

Heavy metal concentrations in water of the Pedroso dam and its tributaries

The mean heavy metal content, standard deviations and ranges determined in water samples from the Ganuza and Mampostón rivers, as well as the Pedroso reservoir are reported in table I. The order of mean metal concentration in water is different in each studied ecosystem: Zn > Pb > Cr > Cu > As > Co > Cd in the Ganuza river; Pb > Zn > Cr > Cu > As > Co > Cd in the Mampostón river, and Zn > Cr > Cu > Pb > As > Co > Cd in the Pedroso reservoir.

TABLE I HEAVY METAL CONTENT IN THE STUDIED WATERS (MEAN ± SD), RANGES AND PERMISSIBLE LIMITS (μg/L). 

Ganuza river Mampostón river Pedroso reservoir ONN (2017) US-EPA (2009) WHO (2008)
Cr 20.9 ± 20.5 (6.9 - 50.9) 7.6 ± 1.8 (5.5 - 10.2) 9.9 ± 5.1 (5.5 - 17.1) N.A. 100 50
Co 0.3 ± 0.2 (0.1 - 0.4) 1.2 ± 2.5 (0.1 - 5.7) 0.2 ± 0.1 (0.1 - 0.4) N.A. 5 N.A.
Cu 8.1 ± 1.3 (7.2 - 9.9) 3.8 ± 1.9 (1.9 - 5.4) 4.3 ± 0.8 (3.9 - 5.6) 1000 1300 2000
Zn 28.7 ± 16.8 (11.0 - 43.5) 18.1 ± 12.3 (6.9 - 36.3) 43.1 ± 28.7 (21.2 - 81.7) 5000 5000 5000
As 0.6 ± 0.4 (0.2 - 0.9) 0.6 ± 0.2 (0.4 - 0.7) 0.6 ± 0.1 (0.5 - 0.7) 10 10 10
Cd 0.02 ± 0.01 (0.02 - 0.03) 0.06 ± 0.04 (0.03 - 0.11) 0.16 ± 0.26 (0.02 - 0.54) 3 5 3
Pb 24.2 ± 40.9 (1.3 - 85.5) 82.2 ± 147.8 (9.6 -345.8) 1.8 ± 0.3 (1.5 - 2.3) 10 15 10

The largest ranges (maximum to minimum content ratio > 10) were observed only for Pb levels in Ganuza and Mampostón rivers. Its mean Pb contents exceed the permissible levels established for drinking water by Cuban (ONN 2017), US-EPA (2010) and WHO (2008) regulations. The highest Pb concentrations were measured in water samples from stations G4 (85.5 μg/L), M2 (35.1 μg/L) and M3 (345.8 μg/L). Therefore, the Pb content accumulated by decades in soils around the asphalt factory (station M2) and national highway (station M3) must have been dragged by rain, wind or human activities, and subsequently deposited in those river areas. On the other hand, lead was an important raw material in the production paints for many years. A poor operation of the paint factory (station G4) sewage system could be the cause of Pb accumulation in that area of the Ganuza River.

Heavy metal concentrations in edible fish muscle from the Pedroso dam

Metal concentrations in the edible muscle of the three investigated fish species from the Pedroso reservoir are shown in table II. The order of mean metal concentration in edible muscle is different for each of studied species: Zn > Cu > Cd >Pb > Cr > As > Co for tilapia, Zn > Cu > Cd > Cr > Co > As > Pb for tench, and Zn > Cu >Pb > Cr > As > Cd > Co for catfish. The comparison with Cuban, USA and EC regulations (Table II) shows that concentrations for most of the metals in the studied fish species were found to be safe for human consumption.

TABLE II HEAVY METALS CONTENTS IN EDIBLE MUSCLE OF THE STUDIED FISH SPECIES (MEAN ± SD). RANGES AND PERMISSIBLE LIMITS (mg/kg ww). 

Tilapia (Oreochromis spp.) Tench (Tinca tinca) Catfish (Clarias gariepinus) ONN (2015) US-EPA (2010) EC (2001)
n 43 16 19
Length (cm) 11.0-17.8 20.5-30.1 23.0-44.3
Weight (g) 61.4 ± 21.6 168 ± 14 283 ± 138
Cr 0.18 ± 0.13 (0.03-0.52) 0.21 ± 0.10 (0.06-0.58) 0.10 ± 0.06 (0.01-0.25)
Co 0.13 ± 0.13 (0.01-0.42) 0.14 ± 0.20 (0.06-0.58) 0.06 ± 0.07 (0.01-0.25) 0.41
Cu 0.65 ± 0.26 (0.23-1.30) 0.68 ± 0.37 (0.25-1.52) 13.69 ± 32.08 (0.86-88.16) 54
Zn 19.4 ± 9.2 (6.8-29.9) 8.6 ± 8.3 (4.9-29.8) 14.6 ± 5.4 (5.5-20.0) 410
As 0.18 ± 0.22 (0.01-0.86) 0.13 ± 0.13 (0.01-0.36) 0.10 ± 0.10 (0.01-0.27) 1.0 0.41
Cd 0.29 ± 0.25 (0.02-2.13) 0.53 ± 0.85 (0.03-2.93) 0.09 ± 0.13 (0.02-0.45) 0.1 1.4 0.05
Pb 0.20 ± 0.25 (0.01-0.84) 0.08 ± 0.07 (0.01-0.20) 0.30 ± 0.38 (0.03-1.23) 0.3 0.2

However, the Cd content in muscles from 44, 37.5, and 40 % of the studied tilapia, tench and catfish, respectively, exceeded the Cd permissible levels established by Cuban regulations; by the USA regulations by 2.2 and 6.7 % for tilapia and tench, respectively; and the EC regulations by 44, 37.5 and 58 % for tilapia, tench and catfish, respectively. On the other hand, 14 and 23 % of the studied tilapias and 20 and 32 % of catfishes, exceed the Cuban and EC permissible Pb levels, respectively. Furthermore, the Cu content measured in 16 % of the studied catfishes exceed the US permissible levels for human consumption.

By comparing the measured mean content of the most hazardous metals (As, Cd and Pb) with similar worldwide studies previously reported (Table III), and considering the descending order of heavy metals that represent a risk to human health (As > Pb > Cd > Zn > Cr > Cu > Co) according to the US Agency for Toxic Substances and Disease Registry (ATSDR 2013), it can be established that the metal content measured in fish species captured in the Pedroso reservoir is higher than the reported for clean areas (Has-Schön et al. 2008, Aktumsek and Gezgin 2011, Singh et al. 2012, Damodharan and Reddy 2013, Low et al. 2015, Mortuza and al-Misned 2015), and is more in correspondence with reports for polluted environments (Leung et al. 2014).

TABLE III COMPARISON OF AVERAGE AS, CD AND PB CONTENTS IN EDIBLE MUSCLE OF STUDIED FISH SPECIES WITH WORLDWIDE REPORTS (in mg/kgww). 

Species Location As Cd Pb Reference
Tilapia (Oreochromis spp.) Pedroso, Cuba
UppanarRiver, India
Nile, Egypt
Lake Naivasha, Kenya
0.18 ± 0.22
-
< 0.008
-
0.29 ± 0.25
0.011 ± 0.001
0.045
0.74 ± 0.09
0.20 ± 0.25
0.144 ± 0.071
0.55
0.024 ± 0.015
Present study
Damodharan and Reddy (2013)
Dashan et al. (2013)
Otachi et al. (2014)
Pearl River delta, China 0.03 ± 0.02 0.03 ± 0.01 8.62 ± 2.14 Leung et al. (2014)
GlamiLemi, Malaysia 1.07 ± 0.07 0.05 ± 0.02 0.011 ± 0.002 Low et al. (2015)
Long-Jing, Taiwan 0.29 ± 0.20 0.51 ± 0.13 Ling et al. (2009)
Tench (Tinca tinca) Pedroso, Cuba
Beysehir lake, Turkey Beysehir
lake, Turkey
0.13 ± 0.13
0.07 ± 0.05
-
0.53 ± 0.85
0.02 ± 0.01
2.74 ± 1.37
0.08 ± 0.07
0.05 ± 0.04
3.34 ± 1.28
Present study
Aktumsek and Gezgin (2011)
Özparlak et al. (2012)
Yenicağa lake, Turkey 0.26 ± 0.11 0.01 ± 0.01 3.50 ± 2.19 Saygi and Yiĝit (2012)
HutovoBlato, Bosnia and Herzegovina 0.094 ± 0.008 0.011 ± 0.003 0.012 ± 0.005 Has-Schon et al. (2008)
Catfish (Clarias gariepinus) Pedroso, Cuba 0.09 ± 0.13 0.30± 0.38 0.10 ± 0.10 Present study
Wani Hadifa, Saudi Arabia - 0.001 ± 0.001 0.05 ± 0.0 Mortuza and al-Misned (2015)
Pearl River delta, China 0.04 ± 0.09 0.02 ± 0.01 0.37 ± 0.09 Leung et al. (2014)
Uttar Pradesh, India - 0.003 ± 0.00 0.014 ± 0.012 Singh et al. (2012)

The bioaccumulation factor (BAF > 1) suggests the capability of each species to bioaccumulate heavy metals in its tissues. Cu is bioaccumulated in C. gariepinus fillets (BAF (Cu) = 2.6), while Cd is bioaccumulated for all studied species in different proportions: tench (BAF (Cd) = 6.6), tilapia (BAF (Cd) = 3.6), and catfish (BAF (Cd) = 1.2). This behavior is due to the feeding habits of these species and their mechanisms to interact with heavy metals. On the one hand, tilapia and tench follow a sediment-ingestion feeding behavior (Zhou et al. 1998, Kwok et al. 2014), which would directly impact their bioaccumulation levels for metals present in their living environment. On the other hand, catfish are a known trophic generalist (van Wassembergh et al. 2006); therefore, by ingesting smaller fishes of the area they also bioaccumulate heavy metals present in the sediments. In this sense, the study of metal contents in the Pedroso reservoir sediments is recommended.

Population potential and real risk

Pattern of fish consumption

Of the total local population included in the survey, 32.1 % (944 inhabitants) are consumers of fish captured in the Pedroso dam and its tributaries. It was found that a significant group of the surveyed people do not consume fish from the studied area due to four reasons: (i) they never consume freshwater fishes (n h 29.3 %); (ii) they consume freshwater fishes from other locations (n h 16.6 %); (iii) they have information regarding the pollution status of the study area (n h 12 %); and (iv) they do not have access to local fish (n h 10 %).

Taking into consideration the differences between fish consumption patterns, local adult fish consumers must be divided into two groups: fishermen and their families, with an average fish consumption of 59.7 ± 27.4 g/day (n h = 218); and general population, with an average fish consumption of 12.0 ± 7.2 g/day (n h = 594). Frequency of consumption (EF r ) depends on the possibility to access this product, which is in average one time per week for general population and 2-3 times per week for fishermen families (Figure 2). In children, fish consumption pattern is practically the same for both groups. However, a difference in average fish consumption for different age groups was observed: 9.6 ± 5.7 g/day in 2-5 year-old children (n h = 23); 13.2 ± 7.4 g/day in the 6-10 year-old group (n h = 45); and 17.0 ± 11.2 g/day in adolescents (n h = 64). Frequency of exposure (EF r ) in children remains almost constant, because all family members eat the same food at each meal (Figure 3).

Fig. 2 Hazard index (HI) histograms in the influence area of the Pedroso dam. Vertical lines indicate variations in BWa for the daily intake of each fish class in adult population. The horizontal line represents tolerable HI levels (< 1). 

Fig. 3 Hazard index (HI) histograms in the influence area of Pedroso dam. Vertical lines indicate variations in BWa for each age group in children population. The horizontal line represents tolerable HI levels (< 1). 

Risk exposure estimation

Non-carcinogenic risk (HQ) exposure follows this order of heavy metal contribution to HI: Cu (54 %) > As (22 %) > Cd (11 %) > Pb (7 %) > Zn (6 %). and C. gariepinus is the major contributor. Figures 2 and 3 show the histograms of hazard index, considering the daily intake in the influence area of the Pedroso dam. Usually, an HI value < 1 is considered acceptable (US-EPA 2006, Jiang et al. 2016).

The above mentioned heavy metal fish content may induce gastrointestinal damage, neurological disorders and heart diseases. In that sense, the gastrointestinal no-observed-adverse-effects level (NOAEL) for Cu ingestion is 0.011 mg/kg/day, whereas cardiovascular and neurological NOAELs for Cd are 0.2 and 0.53 mg/kg/day, respectively. Hematological NOAEL for Zn is estimated in 0.3 mg/kg/day (ATSDR 2013).

In adults the potential HI is evident when the daily intake is higher than 23 g/day (worst case scenario). In this case, 38.6 % of the surveyed population is at risk of expressing non-carcinogenic diseases due to intake exposure of heavy metals. The tolerable daily intake for real HI is estimated in 81 g/day. This is the equivalent of eating two fillets (115 g) with a frequency of 10 times per month. The daily intake exceeded this HI value in 58 individuals of the surveyed population, all from the fishermen-families group, which suggests they may experience a certain degree of adverse health effects.

Potential HI is > 1 in 56.6 and 31.25% of the 2-5 and 6-10-year-old groups, respectively, and in 35.7 % of the teenagers. However, the actual HI is < 1 for all of them. The tolerable daily intake in the worst scenario is estimated as follows for each class: 45 g/day for teenagers; 8 g/day for 6-10 year-olds and 4 g/day for 2-5 year-olds.

Carcinogenic risk for As exposure through fish ingestion is also shown in figures 4 and 5 (adults and children population, respectively). Cuba does not have any regulatory limits for ELCR. The acceptable levels in USA and Denmark are 1 × 10−6. These levels may change in some cases like Germany (5 × 10-5) and The Netherlands (1 × 10−4), as shown in figure 4. All of these limits are referred to potential risk, because the actual risk (albeit unknown) is unlikely to be higher and may well be very lower (Ferguson et al. 1998).

Regardless of the selected regulatory limit, the existence of potential and real carcinogenic risk in adult population is obvious. In adults and children, 95 % of the ELCR normal distribution is equivalent to 5.8 × 10-4 and 3.21 × 10-4, respectively, following the methodology suggested by the US-EPA (2006) to establish a tolerable risk limit. These values suggest that some local children and adults can develop a cancer-related ailment during their lifetime due to As exposure, and all of them are related to fishermen families.

Fig. 4 Histograms ot carcinogenic risk due to As exposure (ELCR) in the influence area of the Pedroso dam. Verticals lines indicate variations in BWa for each class of fish daily intake in adult population. Horizontal lines represent accepted levels in Germany (continuous line) and Netherlands (dashed line). 

Fig. 5 Histograms of carcinogenic risk due to As exposure (ELCR) in the influence area of the Pedroso dam. Verticals lines indicated variations in BWa for each age group in children population. Horizontal lines represent accepted levels in Germany (continuous line) and Netherlands (dashed line). 

CONCLUSION AND RECOMMENDATIONS

Mean trace-elements concentrations in the water of the Pedroso dam and its tributaries reflected normal values, except in some stations from the Ganuza and Mampostón Rivers, associated with paint and asphalt factories and the national speedway, where Pb contents exceed the permissible levels established by Cuban and international regulations for drinking water. Additionally, the analysis of edible muscle in three fish species (tilapia, tench and catfish) captured in the Pedroso dam, shows Cd, Pb, and Cu contents above the corresponding permissible levels established by Cuban and/or international regulations for human consumption.

Taking into account that obtained results show the metal bioaccumulation capability of the studied species and its probable impact on local population health (specially on children), it is necessary to include this information in the water resources management plan for the Pedroso dam, in order to control the capture and commercialization of fishes, local industries wastes and illegalities. On the other hand, taking into account that water from the Pedroso reservoir is pumped towards the Mampostón reservoir, the metal content analysis in edible muscle of fish farmed in the latter is also recommended.

ACKNOWLEDGMENTS

The authors express sincere gratitude to all families who voluntarily participated in the survey. Also, we appreciate the collaboration of all technicians and specialists from the EcoLab laboratory (Toulouse, France) for their professionalism and dedication to carry out this work.

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Received: January 01, 2020; Accepted: June 01, 2020

* Author for correspondence: mariaa@unah.edu.cu

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