OJMS  Vol.7 No.4 , October 2017
Health Risk Assessment Due to Heavy Metals Exposure via Consumption of Bivalves Harvested from Marudu Bay, Malaysia
ABSTRACT
Concern over health risk from consumption of bivalves originating from Marudu Bay is escalating due to the rapid agricultural development surrounding the bay. This has motivated us to estimate the health risk index (HRI) of heavy metals from four commercially important and highly exploited bivalve species which are abundant in the bay. Samples (n = 30) of green mussel (Perna viridis), Asiatic hard clam (Meretrix meretrix), Pacific oyster (Crassosstrea gigas) and marsh clam (Polymesoda expans) were acquired from fishermen in Kg. Teritipan, Marudu Bay. These bivalves were analyzed for heavy metals content using the Inductively Couples Plasma-Optical Emission Spectroscopy (ICP-OES). The study found that the mean contents of Arsenic (As) and Manganese (Mn) in all analyzed bivalves exceeded the permissible limits as well as copper (Cu), lead (Pb) and zinc (Zn) in Pacific oyster, and Zn in marsh clam. It was also noticed that consumption of different bivalve species may bring about health risk from different metals as indicated by varied Total Hazard Index (THI) values. Consumption of the four bivalves was noticed to promote high health risk from As intoxication. Although metal pollution index (MPI) analysis revealed that the bivalves from the bay are currently not seriously impacted by heavy metal pollution, vigorous efforts should be taken to preserve the natural condition of the bay for years to come. There are several ways to minimize health issues from bivalve consumption which include keeping the bivalve natural habitat away from heavy metals pollution by strictly enforcing environmental laws and policies, establishing zones for bivalve fisheries, monitoring heavy metals concentration in bivalve on a regular basis and making depuration process a compulsory requirement in every seafood restaurant throughout the country.

1. Introduction

Health risk assessment on heavy metals is usually carried out to assess the total exposure of heavy metals among the population in a particular place. It helps to formulate preventive measures in order to take care of the public health [1] [2] [3] . Many health risk assessments have been conducted on bivalves due to its high adaptability to various levels of contaminations [4] . Despite being a good source of low-cost protein, accumulated heavy metals in bivalves can cause major concern to consumer’s health. One of the prominent sites for bivalve fishing in Sabah is Marudu Bay. The bay is located in Kota Marudu district on the northern part of Malaysian Borneo and included in the Tun Mustapha Marine Park, the largest marine protected area within the Malaysian Coral Triangle region. The bay has been known to house at least 22 species of invertebrate fauna including bivalves [5] . In fact, the bay has been alienated for bivalve aquaculture development zone by the Fisheries Department of Sabah.

However, a study by [6] revealed that the farmed green mussel in the bay contained manganese (Mn) that exceeds the permissible limit of 5.4 mg/kg [7] . Although previous study by [8] concluded that the heavy metal level in Marudu Bay was still within the permissible limit, the same study, however, reported high content of Mn in the surface sediment of the bay. Perhaps, one of the possible reasons for this situation is the rapid coastal development around the bay especially human settlement and oil palm plantation.

The ability to identify the sources of heavy metal pollutant is useless without measuring its effects to human health. Hence, health risk assessment is required in order to determine the probability of human health risk due to heavy metals following the consumption of bivalves originating from a collection site. To the best of our knowledge, green-lipped mussel (Perna viridis), Asiatic hard clam (Meretrix meretrix), Pacific oyster (Crassosstrea gigas) and marsh clam (Polymesoda expansa) are the most commercially exploited bivalve species in Marudu Bay. In this paper we estimated the health risk index (HRI) due to heavy metals in relation to the consumption of these bivalve species originating from the bay.

2. Materials and Methods

2.1. Sample Collection

A total of 30 specimens of each bivalve species including green-lipped mussel (P. viridis), Asiatic hard clam (M. meretrix), Pacific oyster (C. gigas) and marsh clam (P. expansa) were acquired from fishermen who harvest different species of bivalves in the Marudu Bay (Figure 1). The specimens were transported to the laboratory in polystyrene box containing ice cubes. The specimens were then dissected by using acid washed stainless steel knife. The whole soft tissues were kept in zip-lock bag then stored in −80˚C ultralow freezer (U570-86, New Brunswick). Prior to further analyses, the specimens were oven-dried at 105˚C for 24 hours [9] . Then grounded to powder using mortar and pestle, and kept in zip-lock bags until analysis.

Figure 1. Sampling area.

2.2. Sample Digestion

Sample digestion was carried out in hot block digester (Tecator Digestor Auto 8, FOSS) according to the method described by [10] . Prior to digestion, all glassware were first rinsed with 1 N nitric acid. Then, 0.5 g of powdered sample was weighed using electronic balance (Pecisa 404A) and placed in digesting tubes. 15 ml of 65% nitric acid (Merck) and 2.5 ml of 70% - 72% perchloric acid (Merck) were added in the tubes. The tubes were heated at 140˚C for 10 minutes in hot block digester. Then, 5 ml of 37% hydrochloric acid (AR Grade, Qrec) was added in the tubes. Subsequently, the temperature was raised to 200˚C and digestion process proceeded for 3 hours. When digestion completed, the tubes were left to cool at room temperature before adding 1.25 ml of 65% nitric acid and 10 ml of double distilled water. The solution was filtered using Whatman filter paper (No. 1001-110) and top-up to 35 ml with double distilled water. Finally, the filtrates were kept in 20 ml glass vials and stored at 4˚C until heavy metal analysis.

2.3. Heavy Metal Determination

Heavy metal content in the bivalve samples was determined by using the Inductively Couples Plasma-Optical Emission Spectroscopy (ICP-OES), Perkin Elmer Optima 5300DV. Quality Control Standard 21 (Perkin Elmer Pure) was used as Standard Reference Material (SRM1646a) for instrument recovery. Triplicate readings were obtained for every sample. Assessment of measurement quality and precision was achieved by running blank samples and certified standard materials Dogfish liver DOLT-5 (National Research Council Canada) alongside with the bivalve samples.

2.4. Health Risk Assessment

Health risk assessment was carried out by calculating the Hazard Quotient (HQ) according to [4] and [11] (Table 1). Health risk assessment of the toxicants was interpreted based on the values of HQ and Total Hazard Index (THI) [12] .

HQ = ( EF ) ( ED ) ( IR ) ( C ) ( RFD ) ( WAB ) ( TA )

The THI is the sum of HQ of respective heavy metal in the sample. Where, HQn is the hazard quotient for metal n in the sample.

THI = HQ = HQ 1 + HQ 2 + HQ 3 + + HQ n

Values of HQ and THI below 1.0 indicate no risk of adverse health effect and the greater the value, the greater the risk level of the heavy metal intoxication [12] .

2.5. Metal Pollution Index

To compare the heavy metal contents in different bivalves, metal pollution index was calculated by using the following formula [15] .

MPI = ( Cf 1 , Cf 2 , , Cf n ) 1 / n

where Cfn is the concentration of the metal n in the sample. The MPI index value was adapted from [2] as shown in Table 2.

2.6. Statistical Analysis

The SPSS Windows Statistical Package (version 22.0) was used for all statistical analyses. All data were subjected to one-way ANOVA with all variables tested for normality and homogeneity of variances. Significance level was set at p <

Table 1. Values used to calculate Hazard Quotient (HQ).

Table 2. MPI index value adapted from [2] .

0.05. One-way ANOVA was performed and followed by the Tukey multiple comparison test (Tukey HSD) to make specific contrast of heavy metals content in the bivalves. A multivariate analysis (Principal component analysis) was performed to highlight the relationship between heavy metals. Varimax rotation was performed to help interpret the principal components.

3. Results

3.1. Heavy Metals Content in Bivalves

The heavy metals contents in the four bivalve species collected from Marudu Bay are as shown in Table 3. It was noted that the As and Mn contents in all species of bivalves exceeded the permissible limits. The same was noticed to Cu, Pb and Zn in Pacific oyster and Zn in marsh clam (Table 3).

3.2. Health Risk Assessment of Bivalves

Hazard Quotient (HQ) exceeding 1.0 is considered threatening human health [1] . In this study, HQ for Fe andLi was not calculated because its oral reference dose and permissible limits have not been specified by any international standard providers. The calculated HQ of heavy metals in the four bivalve species is given in Table 4. Based on the HQ cut-point, it showed that all four bivalves can promote health risk due to As intoxication as the HQ values were greater than 1.0.The cumulative effect of HQ of the respective heavy metals was indicated by the value of THI. It was found that the THI values for all species of bivalves were greater than 1.0. The THI value, in decreasing order, of the respective bivalve begins with Pacific oyster (5.07) follows by green-lipped mussel (4.40), marsh clam (1.86) and Asiatic hard clam (1.60).

3.3. Metal Pollution Index of Bivalves

Table 5 shows the MPI of bivalves obtained from Marudu Bay. The highest MPI was obtained from Pacific oyster (15.03) followed by green-lipped mussel (8.31), marsh clam (6.86) and Asiatic hard clam (5.79).

3.4. Principal Component Analysis

The results of principal component analysis (PCA) of the heavy metals content

Table 3. Heavy metals content (mg/kg) in bivalves obtained from Kota Marudu.

Note: b.d.l = below detection limit, Rfd = oral reference dose (USEPA IRIS, 2006), n.a = value not available, 1) MFR (1985), 2) EU (2002), 3) FAO/WHO (1984).

Table 4. HQ and THI of heavy metals in bivalves.

Note: n.a = value not available. Values of HQ greater than 1.0 are highlighted in bold indicating presence of adverse health effect associated with respective heavy metal.

Table 5. Metal pollution indexes of bivalves obtained from Marudu Bay.

in the four bivalve species are illustrated in Table 6. It showed that heavy metals reduced into four factors with the total variation explained of 35.1%, 18.2%, 17.2% and 10.8% for Factor 1, Factor 2, Factor 3 and Factor 4, respectively. Strong positive correlations were observed between 1) metals As, Cd, Cu, Pb, V and Zn with Factor 1; 2) Fe and Mn with Factor 2; 3) Cd and Li with Factor 3 and 4) Ni with Factor 4. On the other hand, opposite correlations were noticed between a) Fe and Mn with Factor 1; b) As, Cd and Li with Factor 2; c) Cu, Ni, Pb and Zn with Factor 3, and d) Cu, Mn and Zn with Factor 4.

Table 6. Principal component analysis: Varimax rotated component matrix.

4. Discussion

4.1. Heavy Metal Content in Bivalves

Bivalves are known to have the ability to accumulate great level of heavy metals in their body [16] . This makes them good candidates for bio-indicator to assess the level of metal pollutants in an aquatic system. However, the contents of heavy metals in bivalves are affected by numerous factors. It was noted that intrinsic factors such as species, age, size, metabolic demand, spawning process [17] [18] [19] [20] and extrinsic factors such as type of heavy metals, location and various environmental factors [1] [17] [20] can affect the heavy metal content in bivalves. Many human activities (Table 7 and Table 8) and natural sources such as rocks weathering, runoff of mineralized rocks and hydrological conditions are known to contribute to heavy metals load in the aquatic environment [18] . In the present study, we observed that surface runoff [21] , domestic wastewater [22] and boating activities [23] [24] may contribute to the heavy metals deposition in the bay and caused the As and Mn contents in the bivalves to exceed the permissible limits (Table 3).

4.2. Health Risk Assessment

Although the As and Mn contents in all analyzed species exceeding the permissible limits, only the HQ value of As was greater than 1.0, which indicates presence of adverse health effects due to As intoxication. The HQ value is not only attributed to the extent of heavy metal content in the food, but also influenced by the exposure frequency as well as the ingestion rate of the contaminated food [25] . Furthermore, the differences in oral reference dose of the respective metal may also affect the HQ value. Upon consumption, the bio-accumulated heavy metals in bivalves body can eventually transferred to human [26] [27] . Inhalation and dermal contact are other recognized routes of heavy metal exposure [28] in human. As reviewed elsewhere [29] [30] [31] [32] , heavy metals and

Table 7. Source(s) and effect(s) of heavy metals for As, Cd, Cr, Cu, Fe, Li and Ni.

Table 8. Source(s) and effect(s) of heavy metals Mn, Pb, Sr, V and Zn.

metalloids have been reported to cause disturbances at cellular level especially in 1) promoting oxidative stress due to the initiation of reactive oxygen species (ROS), 2) causing DNA damage and impair its repair mechanisms, 3) hindering normal function of cell membrane and the assimilation of nutrient and 4) promoting malfunction of proteins. Moreover, most metals are known to form covalent bonds with carbon and resulting in metal-organic compounds which then interfering the normal functions of various organ systems [33] .

4.2.1. Arsenic

Arsenic is one of the most toxic heavy metals that extensively studied and reviewed regularly by the international bodies [34] . The immediate effects of acute As intoxication including vomiting, abdominal pain and diarrhea. These symptoms are often followed by numbness, muscle cramps and may also lead to death, in extreme cases [35] . Other than that, it can cause skin cancers and various skin problems, suppress the erythrocyte and leucocyte production and hypertension (Table 7). The possible sources of As in the environment could be originated from mineral weathering, arsenic-based pesticides and fertilizers as well as production of paints, dyes and soap (Table 7). In case of Marudu bay, the leaching of fertilizers residue may promote the accumulation of As in the analyzed bivalves at the extent where it exceeds the permissible limit. Subsequently, presenting the risk of As intoxication to human consumers.

4.2.2. Copper

Copper is an essential metal required in various metabolic activities and is well regulated not only in the human body [36] but also in plants [37] . However, prolonged exposure of Cu above tolerable limit may lead to kidney and liver failure, anaemia and gastrointestinal problems (Table 7). According to [38] , Cu could be accumulated in Marudu Bay because it receives inputs from river discharge and surface runoff from the surrounding areas. In the current study, Cu content in Pacific oyster harvested from Marudu Bay has exceeded safe level. Human consuming excessive amount of Pacific oyster may primarily be exposed to adverse health effects of Cu intoxication. Fang and colleagues [39] noticed that oysters (C. rivularis) accumulate higher level of Cu compared to green mussel (P. viridis) and clam (Ruditapes philippinarum).

4.2.3. Lead

The lead content in Pacific oysters originating from the bay was found greater than the permissible limit. Among the known toxic effects of Pb to human, include brain and kidney damage, muscular weakness, hypertension and arthritis (Table 8). Lead also causes mental retardation and birth defects especially to vulnerable populations such as children and pregnant women [40] . Pb is a non-essential metal and considered hazardous to human and animals even at low level. The possible sources of Pb in Marudu Bay include residues of fertilizers and herbicides from oil palm plantation and gasoline from fishing boats [5] [6] [41] [42] .

4.2.4. Manganese

Kota Marudu holds a history of being a former Mn mining area in the late 1903 [43] . Aris and colleagues [41] claimed that metal dispersion, including Mn, might come from the former railway that has been damaged several times during heavy flooding. Other than that, discharge from various domestic wastes is one of the main contributors of Mn in the aquatic system [44] . The suitability of usage of several rivers in Kota Marudu have been doubted by [41] due to high level of contamination from domestic waste discharge. Although Mn is an essential enzyme activator [45] , exposure to high level of Mn, however, disturbs the central nervous system, causes tumor, hypotension and affects fetus development. The content of Mn in all analyzed bivalves were exceeding the permissible limits and may promote potential health risk if frequently consumed despite HQ value was below than 1.0.

4.2.5. Zinc

In marine environment, Zn could be attributed to the weathering process or various human activities such as mining, smelting process, steel production and coal or forest burning (Table 8). As an essential metal, Zn responsible for the normal function of various enzymatic activities and promoting wound healing [45] . However, excess intake or exposure to Zn can cause nausea, vomiting, abdominal pain, lethargy and fatigue. In the present study, we noticed that the content of Zn in Pacific oyster and marsh clam were exceeding the permissible limits. Studies have shown that oysters have the ability to accumulate many heavy metals [46] . Meanwhile, marsh clam has been reported to capable of accumulating the highest level of heavy metals among 13 species of clams collected from 34 sites on the Malaysian coasts [47] .

4.3. Metal Pollution Index

Metal Pollution Index (MPI) is used to identify the extent of heavy metal pollution [48] either in non-biota or biota. According to [25] , variation in MPI values noted in different species of organisms is attributed to the differences in feeding habits. However, variation in MPI can also be influenced by season [48] .

In the present study, it was shown that Pacific oyster exposed to medium contamination while the other species were categorized under low contamination. Previous study has reported that, oyster C. virginica, was unable to eliminate accumulated metals from their soft tissue even after depuration [49] . This condition is attributed to the presence of metallothionein, a cysteine-rich protein that has high affinity to heavy metals [50] which accumulate inside the cells in a non-toxic form [49] . Metallothioneins are responsible in the homeostasis of essential metals (Zn and Cu), detoxification of toxic metals (especially Cd) as well in scavenging free radicals [51] . They were known to be rapidly induced in the liver by a wide range of metals, drugs and inflammatory mediators [52] .

4.4. Principal Component Analysis

Principal Component Analysis (PCA) was applied in order to highlight the relationship among the heavy metals. Metal elements belong to the same groups are usually considered to be originated from the same source [53] . In the present study, As, Cd, Cu, Pb, V and Zn which are dominant variables on Factor 1, are likely to be originated from fertilizers, pesticides and herbicides [5] [6] [41] [42] . These substances are known to be used extensively in oil palm plantation. Leaching of heavy metals from contaminated soil may also occur during surface runoff. Moreover, despite various possible sources of Fe and Mn, both metals could have been originated from the same source of weathering process or from the domestic wastewater discharge. This was evident in current study where Mn and Fe were grouped together under Factor 2. Cd and Li were dominant variables on Factor 3. These elements can be naturally found in rocks minerals, thus weathering process as well as the sand dredging activities which have been reported to have taken place in some rivers flowing into the Marudu Bay [41] may contribute to such finding. Last but not least, oil residue from fishing boats, residues from forest burning during land clearing for agricultural purposes within and in the vicinity areas of study site could have been responsible for the dominance of Ni in Factor 4.

4.5. Reducing Health Risk of Heavy Metal in Bivalves

Water is crucial for the longevity of aquatic organisms. Despite its importance, it receives various environmental threats originating from agricultural activities, effluents from industries and households, and others [62] [63] . Upon the discharge of these wastes, heavy metals and other contaminants are loaded into the aquatic environment. Consequently, these heavy metals will be accumulated in the marine organisms, especially in bivalves following their exposure. This situation can harm human because those metals and other contaminants can be transferred to human through food chain.

Heavy metal contamination can be overcome or removed by mean of bioremediation [64] . It involves the use of living organisms such as algae, bacteria or plants to convert or reduce heavy metals into less toxic forms. The application of microbial bio-sorption to remove or recover heavy metals from aquatic environment has been reviewed by [65] . Risk of heavy metal intoxication and infection of various pathogens arising from the consumption of bivalves can also be reduced by mean of depuration [66] . Depuration is a process whereby bivalves are immersed in clean water environment for a certain period of time to allow purging of biological contaminants and physical impurities from them. El-Gamal [67] noticed that Zn, Pb, Ni, Mn, Cu, Cr and Cd can be reduced by 44%, 23%, 25%, 17%, 61%, 41% and 75% in clam, Paphia undulata after immersion in clean artificial seawater for 24 hours, respectively. The same author also showed that depuration process reduced the presence of Vibrio sp. (75%), Shigella sp. (31%), Escherichia coli (68%) and Salmonella sp. (36%) in the clam. Subjecting the newly caught bivalves to depuration process for more than 24 hours in clean water environment before consumption will help reduce health risk from contaminants including heavy metals.

Besides, strict enforcement of environmental law and policies in the bivalve natural habitat also help keep them away from being exposed to heavy metal contaminants. In Malaysia, the Ministry of Natural Resources and Environment has recognized the important of public participation in the effort to mitigate environmental pollution by providing an online complaint service for public to report any environmental polluting activities occurring in their surroundings [68] .

5. Conclusion

The present study has shown that the levels of As and Mn in the four bivalve species originating from Marudu Bay exceeded the permissible limits. It also found that Pacific oyster in the bay seemed to experience medium heavy metal contamination while the green-lipped mussel, marsh clam and Asiatic hard clam were subjected to low level of heavy metal contamination. Overall, the current study suggests that consumption of bivalves originating from Marudu Bay at high frequency could elevate the risk of heavy metal intoxication particularly from Asernic. Although, thorough analysis is still required, there is already a convincing evident that presence of heavy metals in Marudu Bay is likely to be escalating in the future due to the intense anthropogenic activities. As a step to reduce health risk from heavy metal intoxication associated with bivalve consumption, environmental laws and policies related to wastewater discharge into the aquatic system particularly the natural habitat for bivalve should be strictly enforced, zones for bivalve fisheries should be established, monitoring metals concentration in bivalve on regular basis and last but not least is to make depuration a compulsory requirement in every seafood restaurant.

Acknowledgements

This study was financially supported by a research funding (NRGS0003) from the Ministry of Higher Education (MOHE), Malaysia.

Cite this paper
Denil, D. , Fui, C. and Ransangan, J. (2017) Health Risk Assessment Due to Heavy Metals Exposure via Consumption of Bivalves Harvested from Marudu Bay, Malaysia. Open Journal of Marine Science, 7, 494-510. doi: 10.4236/ojms.2017.74035.
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