Article

Marine Mollusks as Bioindicators of Heavy Metal Contamination in the Aquatic Ecosystem of Guang-guang, Pujada Bay, Philippines

1,5★, 1,2,4, 1,2,3, 1,2, 1, 1,2,5★ Corresponding author

  1. 1Faculty of Advanced and International Studies, Davao Oriental State University (DOrSU), City of Mati, Davao Oriental, PHILIPPINES.
  2. 2Faculty of Agriculture and Life Sciences, DOrSU, City of Mati, Davao Oriental, PHILIPPINES.
  3. 3University Research Complex-Institute for Bioassay and Testing, DOrSU, City of Mati, Davao Oriental, PHILIPPINES.
  4. 4University Research Complex-Institute for Soil and Water, DOrSU, City of Mati, Davao Oriental, PHILIPPINES.
  5. 5University Research Complex-Institute for Natural Products Discovery and Development, DOrSU, City of Mati, Davao Oriental, PHILIPPINES.

CORRESPONDENCE

Hayma Tayongtong Usman

Faculty of Advanced and International Studies, Davao Oriental State University (DOrSU), City of Mati, Davao Oriental, PHILIPPINES.

haymausman@gmail.com

Received: 14-06-2026; Revised: 05-08-2026; Accepted: 21-09-2026.

Volume 15, Issue 3 · pp. 648–658 · 2026 · DOI: 10.5530/ajbls.20260117

View on AJBLS original site ↗

ABSTRACT

This study investigated heavy metal contamination in water, sediment, and five (5) marine mollusk species (Periglypta puerpera, Codakia tigerina, Anadara antiquata, Canarium erythrinum, and Lambis millepeda) within Guang-guang, Pujada Bay, Davao Oriental, Philippines, assessing their bioindicator potential for Cadmium (Cd), Chromium (Cr), Nickel (Ni), Iron (Fe), and Lead (Pb). Heavy metal concentrations were determined using Atomic Absorption Spectroscopy, and the study also evaluated associated ecological and human health risks. Analysis of water and sediment revealed generally low concentrations of these metals, although Cr in water (0.06 mg/L) notably exceeded the DENR DAO No. 2016-08 ( 2016) standard of 0.05 mg/L and the United States Environmental Protection Agency (US EPA) (2002) of 0.05 mg/L indicating possible contamination. Significantly, heavy metal concentrations in mollusk tissues varied, with L. millepeda exhibiting a Cd concentration of 0.2 mg/kg, surpassing both the Codex Stan 193-1995 (amended 2023) limit (0.1 mg/kg) and the EU 1881/2006 (2006) limit (0.05-0.1 mg/kg), thereby posing a potential health risk to consumers. Biota-Water Accumulation Factors (BWAF) and Biota-Sediment Accumulation Factors (BSAF) demonstrated considerable bioaccumulation (values >1) for Cd, Cr, and Ni across several species, particularly in

L. millepeda, highlighting its pronounced capacity to concentrate these metals from its environment even when ambient levels are low. Fe also showed extremely high BWAF values across all species, while Pb exhibited limited accumulation. These findings underscore that low environmental metal concentrations do not necessarily prevent accumulation in biota, emphasizing the critical role of marine mollusks as effective bioindicators for heavy metal pollution. Therefore, continued monitoring of both environmental matrices and bioindicator species is crucial for safeguarding the marine ecosystem and ensuring seafood safety in Guang-guang, Pujada Bay.

KEYWORDS

0% READ

FULL TEXT

INTRODUCTION

Marine ecosystems are crucial for global biodiversity and human well-being, yet they face increasing threats from persistent and toxic heavy metal pollution (Ahamad et al., 2024; El-Sharkawy et al., 2025). These contaminants can bioaccumulate through the food chain, posing significant risks to aquatic life and human health (Oros et al., 2025; Radomyski et al., 2018). While conventional environmental monitoring often relies on heavy metal concentrations in water and sediment, these measurements may not fully reflect the actual biological exposure and accumulation within marine organisms. This results in a limited understanding of true ecological impacts and potential human health risks (Artar et al., 2024; DeForest et al., 2007).

Marine mollusks, owing to their sessile nature and filter-feeding habits, are widely recognized as effective bioindicators capable of concentrating contaminants in their tissues. This characteristic provides a more integrated and accurate measure of environmental contamination than abiotic sampling alone (Azratul et al., 2017; Boudammoussi et al., 2024; Ong and Yunus, 2019). However, the extent to which low environmental concentrations translate into hazardous levels in edible mollusks, and the species-specific differences in accumulation, necessitates comprehensive investigation to safeguard seafood safety and public health (Primost et al., 2017; Swaleh et. al., 2016).

Pujada Bay, located in the City of Mati, Davao Oriental, is known for its exceptional ecological significance, encompassing rich coral reefs, expansive seagrass beds, and thriving mangrove forests (Sanchez-Delute et al., 2025), and holds the classification of a protected landscape and seascape (Terayama et al., 2021; Wang et al., 2023). Despite its ecological importance, existing studies in the bay have indicated concerns regarding heavy metal presence, with reports of non-essential heavy metals like Cd and Pb in sea hare egg strings exceeding established standards (Tayone, 2017), alongside other heavy metal assessments in marine mollusks in the region (Tayone et al., 2020). While these findings highlight a potential threat, a comprehensive, species-specific assessment that quantifies multiple heavy metal concentrations across all abiotic compartments (water, sediment) and five (5) distinct marine mollusk species within Guang-guang, Pujada Bay remains largely unexplored. The lack of detailed data on species-specific bioaccumulation patterns, particularly using Biota-Sediment Accumulation Factors (BSAF) and Biota-Water Accumulation Factors (BWAF), impedes a full understanding of the ecological implications and potential health risks to human populations that rely on these marine resources.

This study aimed to evaluate the concentration levels of Cd, Cr, Ni, Fe, and Pb in the water column, sediment, and five (5) selected mollusk species (Periglypta puerpera, Codakia tigerina, Anadara antiquata, Canarium erythrinum, and Lambis millepeda) from Guang-guang, Pujada Bay. Moreover, this research assessed the potential of mollusks as bioindicators and thoroughly analyzed bioaccumulation dynamics using BSAF and BWAF. This robust approach yielded a detailed understanding of metal contamination, its transfer, and the associated ecological and human health risks, which is essential for developing informed conservation strategies and ensuring the long-term sustainability and seafood safety of this vital marine ecosystem.

METHODOLOGY

Pujada Bay in the City of Mati, Davao Oriental (Figure 1), recognized as one of the world's most beautiful bays, is a protected area known for its rich coral reefs, seagrass beds, and mangrove forests (Proclamation No. 431, 1994). Prior to the study, approval was secured from the Protected Area Management Board through PAMB Resolution No. 8, Series of 2025.

A preliminary site inspection and interview with the local guide were conducted prior to sample collection. Five (5) sampling stations were strategically selected for mollusk collection based on species abundance and habitat suitability. The collected mollusk species, along with their local names and coordinates, were: P. puerpera (Bug-atan) (Linnaeus, 1758) at 6.91346ºN, 126.26539ºE; C. tigerina (Tambayang) (Linnaeus, 1758) at 6.91974ºN, 126.25918ºE; A. antiquata (Litob) (Linnaeus, 1758) at 6.91346ºN, 126.26547ºE; C. erythrinum (Aninikad) (Dillwyn, 1817) at 6.91337ºN, 126.26551ºE; and L. millepeda (Lima-lima) (Linnaeus, 1758) at 6.90944ºN, 126.26188ºE (Figure 2).

Sample collection, preparation, and heavy metal analysis

Water Samples

were collected at a depth of 50 cm and stored in acid-washed plastic bottles. To ensure a representative analysis of the study area, composite water samples were prepared by combining subsamples from the five sampling locations. The collected samples were immediately placed in a cooler for transport to the Davao Oriental State University laboratory, where they were acidified and refrigerated at 4ºC until analysis (American Public Health Association [APHA] et al., 2017).

At least 100 mL of a well-mixed, acid-preserved water sample was digested with concentrated HNO₃ by gentle evaporation and refluxing until a clear or stable digest was obtained, followed by the addition of HCl to dissolve any residues. The digest was cooled, filtered to remove insoluble materials, transferred to a 100 mL volumetric flask, and diluted to volume with distilled water. Metal determination was performed using Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES) after proper instrument start-up, calibration with multi-element standard solution bracketing expected concentrations, and blank correction. Samples were aspirated via the autosampler, with intermittent nebulizer rinsing using dilute HNO₃, and analyzed at element-specific wavelengths within the optimum concentration range.

Sediment Samples

Sediment sampling was done using a plastic shovel. Similar to the water sampling procedure, composite sediment samples were prepared by combining subsamples from the five sampling locations to obtain a representative measure of sediment characteristics across the study area. A one (1) kg sediment sample was placed in a polyethylene Ziplock bag. The sediment sample underwent air-drying for three (3) days. The dried sediments were packed in a polyethene Ziplock bag with proper labelling until its analysis.

For the analysis of heavy metals (Cd, Cr, Ni, Fe, and Pb), sediment samples were first thoroughly mixed and sieved to ensure homogeneity. A 1 g dry-weight sample was digested with 1:1 HNO₃ and heated at 95±5ºC, followed by repeated addition of concentrated HNO₃ (not exceeding 10 mL) until complete oxidation was achieved. The digest was reduced, treated with water and 30% H₂O₂ to complete oxidation, reheated to near dryness, and finally refluxed with concentrated HCl at 95±5ºC for 15 min to complete digestion. The digestate was then filtered through Whatman No. 41 filter paper (or equivalent), the filtrate collected in a 100 mL volumetric flask, made up to volume with deionized water, and subsequently analyzed for metal concentrations using Atomic Absorption Spectrophotometry (AAS).

Mollusk Samples

About 250 g per mollusk (tissue) were collected. The collection involved manual harvesting using plastic shovels. The samples were washed with distilled water, and the tissue was separated from the shell by cracking the shell open using a wooden hammer and a plastic knife. The soft tissue was stored in a ziplock and kept in the freezer set to -20ºC (Ebol et al., 2020) until analysis. The separated shells were buried in a 2-foot-deep hole to prevent odor and ensure proper decomposition. Since the shell is composed of calcium carbonate, it poses no environmental harm and will naturally break down without causing pollution.

Analytical Chemists (AOAC) 972.23, wherein approximately five (5) g of sample was dried at 135-150ºC, ashed at 500ºC overnight, and treated with HNO₃ to obtain a clean, carbon-free ash. The ash was dissolved in 1 M HCl with heating, transferred to a 25 mL volumetric flask, diluted to volume with 1 M HCl, and the resulting solution was analyzed by AAS (AOAC, 2000).

Mollusk sample preparation followed Association of Official

Bioindicator Potential Determination

The BWAF as shown in equation 1 represents the ratio of the concentration of a heavy metal in the tissue of an aquatic organism to its concentration in the surrounding water, while the BSAF as shown in equation 2 refers to the ratio of the concentration of a heavy metal in the organism's tissue to that in the sediment (Louma and Rainbow, 2008; Wang et al., 2012; Rainbow, 2002). These two indices are widely used to describe the ability of aquatic organisms to absorb and retain metals from their environment. They help determine the extent of bioaccumulation, reflecting the potential exposure risks to aquatic life and humans through seafood consumption, the availability of heavy metals in the aquatic system, and the role of organisms as indicators of metal contamination (Rainbow, 2002; Bryan and Langston, 1992; Li et al., 2010).

BWAF=[HM]mollusk[HM]water(Equation 1)

Biota-Water Accumulation Factor

Where [HM]mollusk -is the heavy metal concentration of mollusk Where [HM]water -heavy metal concentration of water

BSAF=[HM]mollusk[HM]sediment(Equation 2)

Biota-Sediment Accumulation Factor

Where [HM]mollusk -is the heavy metal concentration of mollusk Where [HM]sediment -is the heavy metal concentration of sediment

Statistical Analysis

Heavy metal concentrations in water, sediment, and mollusk tissues were summarized using descriptive statistics and reported in mg/L for water and mg/kg for sediment and biota. The measured concentrations were directly compared with relevant environmental and food safety standards to evaluate compliance and potential ecological and human health risks. Furthermore, bioaccumulation was evaluated using the (BWAF) and (BSAF). Values greater than 1 indicate net accumulation, allowing assessment of each mollusk species' ability to concentrate metals from its environment.

RESULTS

Heavy Metal Concentrations

Water Samples

The assessment of heavy metal contamination in marine environments is vital due to the persistent and toxic nature of these pollutants, which can bioaccumulate through trophic levels and pose significant risks to both aquatic life and human health (Lin et al., 2024; Mahmudiono et al., 2024). Marine mollusks are recognized as effective bioindicators for heavy metal pollution in coastal areas due to their ability to concentrate contaminants within their tissues, providing a time-integrated measure of environmental contamination (Conti et al., 2019; Fred et al., 2019 , Phương, 2014; Primost et al., 2017; Salah-Tantawy et al., 2022; Sami et al., 2020; Zongo et al., 2022).

A water sample analysis from Guang-guang, Pujada Bay revealed that Cd concentrations were below both the Philippine Department of Environmental and Natural Resources Administrative Order No. 2016-08 (DENR DAO No. 2016-08) standard and the United States Environmental Protection Agency’s (US EPA) recommended Criterion Continuous Concentration (CCC) for marine water. In contrast, Cr level exceeded both the DENR DAO No. 2016-08 (2016) standard of 0.05 mg/L and the US EPA (2002) of 0.05 mg/L. Pb concentrations were comparable to the DENR DAO No. 2016-08 (2016) standard and fell below the US EPA 2002) recommended CCC for marine water. Ni was detected; however, both Ni and Fe concentrations were within permissible limits and below the established standards. The elevated Cr concentration in the water column, although within some broader international guidelines, warrants attention due to its exceedance of both the DENR DAO 2016-08 (2016) and US EPA (2002) standard (Table 1).

Sediment Samples

In sediment samples from Guang-guang, Pujada Bay, the concentrations of most heavy metals were found to be low. Cd, Cr, Ni, and Pb levels were all significantly below the National Oceanic and Atmospheric Administration (NOAA) SQuiRT tables (Buchman, 1999) Threshold Effect Level and Probable Effect Level. For Fe, no specific NOAA TEL/PEL values were identified in the available literature for direct comparison. These consistently low levels across multiple heavy metals indicate good sediment quality at the time of sampling, suggesting a low immediate risk for benthic organisms (Ergen, 2020).

Figure 1: Map of the sampling site in Guang-guang, Dahican, Pujada Bay, City of Mati, Davao Oriental, Philippines.
Table 1: Concentration of heavy metals in water and sediment samples compared with environmental standards.

A. Water

Heavy Metals

Concentration (mg/L)

DENR DAO Limit (mg/L)

US EPA (mg/L)

Cd

0.001

0.003

0.0093

Cr

0.06

0.05

0.05

Ni

0.02

0.2

0.022

Fe

0.02

1.5

-

Pb

0.01

0.01

0.0081

B. Sediment

Heavy Metals

Concentration (mg/kg)

NOAA TEL Standard Limit (mg/kg)

NOAA PEL Standard Limit(mg/kg)

Cd

0.001

0.7

4.2

Cr

0.06

52.3

160

Ni

0.02

15.9

42.8

Fe

0.02

-

-

Pb

0.01

30.2

112

Note: No available standard (-).

Mollusk Samples

The heavy metal concentrations in the mollusk samples, as summarized in Table 2, showed varying levels, particularly for Cd. While Cr, Ni, and Fe often lack specific standard limits in mollusk tissues for consumption, and Pb concentrations (0.01 mg/kg for (-). all species) were well below Codex Stan 193-1995 (amended 2023 ) and EU 1881 /2006 (2006) limits of 0.3 mg/kg, Cd levels presented a concern. L. millepeda exhibited a Cd concentration of 0.2 mg/kg, which is twice the Codex Stan 193-1995 limit of 0.1 mg/kg and exceeds the EU 1881/2006 limit of 0.05-0.1 mg/kg for Cd in mollusks. C. erythrinum (0.09 mg/kg) and A. antiquata (0.07 mg/kg) also approached or slightly exceeded the upper range of the EU limit for Cd. In contrast, P. puerpera (0.02 mg/kg) and C. tigerina (0.02 mg/kg) showed lower Cd concentrations, remaining within acceptable international ranges. This highlights that even with relatively low environmental concentrations, certain mollusk species can accumulate metals to levels of concern for human consumption (Phương, 2014; Primost et al., 2017; Sami et al., 2020).

Bioindicator Potential

Biota-Sediment Accumulation Factors

The BSAF and BWAF are critical for understanding how heavy metals transfer from the environment into marine organisms. Values greater than 1 indicate bioaccumulation, in which the organism concentrates the metal at a higher level than the surrounding matrix (Ahmed et al., 2017; Wang et al., 2025; Yu et al., 2022; Zhang et al., 2025).

The BSAF summarized in Table 3 revealed significant bioaccumulation of Cd, Cr, and Ni from sediment into the mollusks. L. millepeda exhibited exceptionally high BSAF values for Cd and Ni (62.5), indicating a strong capacity to accumulate these metals from the sediment. Other species also showed considerable accumulation of Cd, such as C. erythrinum and A. antiquata. Cr also demonstrated bioaccumulation across most species, with P. puerpera showing a BSAF of 10. In contrast, Fe and Pb generally had BSAF values below 1, suggesting limited accumulation from sediment, possibly due to regulatory mechanisms or lower bioavailability in the sediment phase (Bakhshalizadeh, 2022).

Biota-Water Accumulation Factors

The BWAF in Table 3 showed similar patterns of accumulation from the water column. L. millepeda again displayed very high BWAF values for Cd and Ni, further confirming its pronounced ability to accumulate these elements from the dissolved phase. Significant BWAF values for Cd were also observed in C. erythrinum and A. antiquata. Cr also showed accumulation, with P. puerpera recording a BWAF of 20. Notably, Fe presented extremely high BWAF values across all species, with L. millepeda reaching 45100, and other species like P. puerpera and A. antiquata also demonstrated substantial water-to-biota transfer. This high Fe accumulation might be linked to its essential role in biological processes or specific environmental factors (Hu et al., 2022 (Hu et al., 2023)). Similar to BSAF, Pb showed very low BWAF values, indicating minimal accumulation from water. The high BSAF and BWAF values for Cd, Cr, and Ni, particularly in L. millepeda, underscore the effectiveness of these mollusks as bioindicators capable of concentrating metals even when ambient environmental concentrations are low (Conti et al., 2019; Fred, 2019; Phương, 2014; Salah-Tantawy et al., 2022; Zongo et al., 2022).

Table 2: Heavy metal concentration (mg/kg) in selected mollusk species compared with regulatory standards.

Mollusk Species

Cd

Cr

Ni

Fe

Pb

Codex Stan 193-1995 (FAO/WHO)

EU 1881/2006

P. puerpera

0.02

1.2

0.04

68.6

0.01

Cd: 0.1, Pb: 0.3 Cr, Ni, Fe=No standard limit

Cd: 0.05-0.1, Pb: 0.3 Cr, Ni, Fe=No standard limit

C. tigerina

0.02

0.11

0.04

15.6

0.01

Cd: 0.1, Pb: 0.3 Cr, Ni, Fe=No standard limit

Cd: 0.05-0.1, Pb: 0.3 Cr, Ni, Fe=No standard limit

A. antiquata

0.07

0.21

0.04

68.4

0.01

Cd: 0.1, Pb: 0.3 Cr, Ni, Fe=No standard limit

Cd: 0.05-0.1, Pb: 0.3 Cr, Ni, Fe=No standard limit

C. erythrinum

0.09

0.14

0.04

30.1

0.01

Cd: 0.1, Pb: 0.3 Cr, Ni, Fe=No standard limit

Cd: 0.05-0.1, Pb: 0.3 Cr, Ni, Fe=No standard limit

L. millepeda

0.2

0.71

2.5

902

0.01

Cd: 0.1, Pb: 0.3 Cr, Ni, Fe=No standard limit

Cd: 0.05-0.1, Pb: 0.3 Cr, Ni, Fe=No standard limit
Table 3: Biota-Sediment Accumulation Factor (BSAF) and Biota-Water Accumulation Factor (BWAF).

Mollusk

Biota-Sediment Accumulation Factor (BSAF)

Cd

Cr

Ni

Fe

Pb

P. puerpera

10

20

1

0.0786

0.0004

C. tigerina

10

1.8333

1

0.0179

0.0004

A. antiquata

35

3.5

1

0.0784

0.0004

C. erythrinum

45

2.3333

1

0.0345

0.0004

L. millepeda

100

11.8333

62.5

1.0332

0.0004

Mollusk

Biota-Water Accumulation Factor (BWAF)

P. puerpera

20

20

2

3430

1

C. tigerina

20

1.8333

2

780

1

A. antiquata

70

3.5

2

3420

1

C. erythrinum

90

2.3333

2

1505

1

L. millepeda

200

11.8333

125

45100

1
Figure 2: Selected mollusks collected from Guang-guang, Pujada Bay, City of Mati, Davao Oriental, Philippines: (1) Periglypta puerpera (Linnaeus, 1771), (2) Codakia tigerina (Linnaeus, 1758), (3) Anadara antiquata (Linnaeus, 1758), (4) Canarium erythrinum (Dillwyn, 1817), (5) Lambis millepeda (Linnaeus, 1758).

DISCUSSION

The heavy metals enter the marine environment, primarily through various land-based human activities. These include industrial, municipal, and domestic wastewater effluents, as well as surface runoff, which serve as primary pathways for heavy metals into marine ecosystems (Deocaris et al., 2022; Diwa et al., 2022; El-Sharkawy et al., 2025). Rapid industrialization and urbanization, coupled with inadequate waste management in developing countries, significantly contribute to this pollution (Deocaris et al., 2022; El-Sharkawy et al., 2025). For instance, in the Philippines, industrial zones contribute to elevated Cd and Zn levels in coastal waters, including in Davao City and the Island Garden City of Samal (Aya-ay et al., 2025). Mining activities, such (as those in Manicani, Guiuan, Eastern Samar, lead to Pb, Cu, and Ni pollution (Corales-Ultra et al., 2019), while artisanal tailings from mining have impacted Mambulao Bay in Camarines Norte with various heavy metals ( Gibaga et al., 2024). Agricultural effluents and river influx, as seen in Manila Bay, also transport contaminants from land to coastal waters (Ebol et al., 2020; Diwa et al., 2022). Other identified sources include chemical enterprises, port operations, rock weathering, and metal smelting (Wang et al., 2025).

In Guang-guang, Pujada Bay, the concentrations of heavy metals in water and sediment samples were generally low, with sediment levels consistently below established safety thresholds, indicating a relatively pristine abiotic environment at the time of sampling. However, an important exception was the elevated Cr detected in the water, which exceeded both DENR and US EPA standards, mirroring concerns found elsewhere in the Philippines, such as in dumpsite soil in Iligan City (Aja et al., 2021). While the low heavy metal concentrations in sediment from Guang-guang, Pujada Bay are generally favorable compared to some other Philippine coastal areas, such as the moderately polluted fishpond sediments in Batan Bay, Aklan (Nillos et al., 2020), or the highly contaminated Lake Mainit sediments with Ni (Laudiño et al., 2024), or Manila Bay sediments with elevated concentrations (Olivares et al., 2019; Prudente et al., 1994), the presence of even low levels of metals in the water column can initiate the next critical stage which is bioaccumulation.

The journey of heavy metals continues as they are absorbed by marine organisms, a process known as bioaccumulation. Mollusks, in particular, are recognized as effective bioindicators due to their sessile nature and filtration feeding, which make them susceptible to accumulating contaminants from their environment (Phương, 2014; Zongo et al., 2022; Azratul et al., 2017; Kocabaş and Kocabaş, 2023). In Guang-guang, Pujada Bay, despite the generally low heavy metal levels in sediments, a significant concern arises from the high Cd concentrations found in L. millepeda. This observation aligns with findings in other Philippine mollusks, highlighting their consistent role as bioindicators; for instance, studies in Malita, Davao Occidental, have also investigated the bioaccumulation potential of marine bivalve seashells (Marquez and Avenido, 2022). Further local studies in Pujada Bay complement these findings by detailing species-specific bioaccumulation patterns, as seen in research on trace metal and nutrient composition in the egg strings of Dolabella auricularia (Tayone, 2017) and heavy metal concentrations and health risk assessments in selected mollusks (Tayone et al., 2020). Sedimentation rates using sediment traps revealing high deposition rates influenced by upland runoff have also been studied in Pujada Bay (Sorrosa et al., 2015).

The bioaccumulation of heavy metals, especially in food sources such as mollusks, poses significant risks implications to both ecological health and human consumers. The elevated Cd levels in L. millepeda from Guang-guang, Pujada Bay, which exceed international food safety limits, strongly suggest a potential health risk to consumers, similar to findings in Indonesian green mussels for Pb, Hg, and Cd (Liu et al., 2020). The consumption of bivalves with elevated heavy metal concentrations can pose significant human health risks, as evidenced by studies indicating high Hazard Index (HI) or Target Hazard Quotient (THQ) values for metals like Pb, Cd, and As in other regions (Li et al., 2010; Lin et al., 2024; Saleh et al., 2021; Yu et al., 2022). For example, a study in Manila Bay revealed considerable human health risk due to Pb in shellfish (Liu et al., 2020), and in Marudu Bay, Malaysia, As intoxication was a concern from bivalve consumption despite low levels of other metals (Perelonia et al., 2017). In contrast, some studies in Malaysia and Thailand found THQ values below 1 for various metals in mussels, implying no significant health risks from individual metals (Denil et al., 2017; Rajan and Ishak, 2017; Rattikansukha et al., 2021; Tanhan et al., 2022; Yap and Al-Mutairi, 2021).

The varying concentrations observed across water, sediment, and mollusks in Guang-guang, Pujada Bay underscore the complex interplay of environmental factors and anthropogenic influences, reflecting a global challenge (El-Sharkawy et al., 2025; Yu et al., 2022). Similar to the concerns in Guang-guang, Pujada Bay, other Southeast Asian countries also grapple with heavy metal contamination in seafood, with human health risk assessments in Pattani Bay, Thailand, revealing bioaccumulation in mollusks (Rattikansukha et al., 2021), and Indonesian green mussels having levels exceeding maximum acceptable limits for various metals (Liu et al., 2020). Studies in Malaysia also highlight Cd and Pb contamination in clams (Yona et al., 2021). The issue of heavy metal bioaccumulation in marine organisms is a global concern, with studies on green mussels in Bangladesh finding Pb, Cd, and Hg concentrations (Hossen et al., 2015). Positive correlations between metals such as Cd and Pb often indicate a common origin, such as industrial and municipal wastes (Hossen et al., 2015). The effectiveness of mollusks as bioindicators, even in relatively clean environments, is a consistent finding across many international studies (Azratul et al., 2017; Islam et al., 2016; Ibrahim et al., 2023), further emphasizing the need for continuous monitoring to safeguard both marine ecosystems and public health.

Biota-Sediment and Biota-Water Accumulation Factors

The BSAF, calculated as the ratio of metal concentration in biota tissue to that in sediment, is a critical index for assessing heavy metal bioavailability, transfer efficiency from sediments to organisms, and potential trophic magnification in marine food webs (Yu et al., 2022; Kim et al., 2025). Values >1 indicate net bioaccumulation, underscoring mollusks' role as effective biomonitors for sediment pollution even at low environmental levels, with implications for ecological risk and human health via seafood consumption (Sami et al., 2020; Zhang et al., 2025). Comparable high BSAF for Cd and Cr have been reported in gastropods (Thais bitubercularis, Nerita lineata) and bivalves from Malaysian and Kenyan coasts, confirming species-specific accumulation patterns influenced by feeding habits and sediment chemistry (Swaleh et al., 2016; Zhang et al., 2025; Ismail et al., 2017). Although local Philippine studies specifically computing BSAF are scarce, bioaccumulation research on Asiatic clams (Corbicula fluminea) from Laguna de Bay showed positive correlations between sediment and tissue concentrations for several metals (e.g., Cu, Zn), indicating similar transfer dynamics (Diwa et al., 2022), while bivalves in Davao Occidental demonstrated heavy metal uptake potential from coastal sediments (Marquez and Avenido, 2022).

Like BSAF, BWAF provides a key index for evaluating the bioavailability and transfer efficiency of heavy metals from the dissolved water phase to mollusk tissues, with values >1 signifying net bioaccumulation and highlighting the organisms' sensitivity to trace dissolved contaminants (Yu et al., 2022; Zhang et al., 2025). The elevated BWAF for Cd, Cr, and Ni observed here mirrors patterns in other coastal systems; for instance, bivalves in Daya Bay, China, exhibited BAF (equivalent to BWAF) values ranging from 286 to 89,362 for Cd, Cr, Cu, Zn, Pb, As, and Hg, attributed to filtration feeding and strong enrichment capacity, especially for Cr despite its non-essential status (Yu et al., 2022). Similarly, the Mediterranean mussel Mytilus galloprovincialis from the Romanian Black Sea coast showed high BCF (bioconcentration factor, akin to BWAF) prioritizing Cu and Ni accumulation from seawater (Sami et al., 2020). These comparable high BWAF/BAF/BCF values underscore species-specific accumulation influenced by feeding habits, metal speciation, and water chemistry, positioning mollusks such as L. millepeda and P. puerpera as robust biomonitors for early detection of waterborne metal pollution (Conti et al., 2019; Zhang et al., 2025). The exceptionally high Fe BWAF aligns with findings in Malaysian gastropods (Nerita lineata, Thais bitubercularis), where elevated tissue Fe reflects natural background levels and metabolic demands rather than pollution (Zhang et al., 2025).

Implications include potential trophic transfer to predators and human consumers via seafood, amplifying ecological and health risks even at low water concentrations, and emphasizing the need for routine mollusk-based monitoring in coastal management (Sami et al., 2020; Yu et al., 2022).

CONCLUSION

The findings from Guang-guang, Pujada Bay, reveal a complex picture where low heavy metal concentrations in water and sediment do not necessarily translate to low levels in marine biota. The elevated levels of Cd in certain mollusk species, such as L. millepeda, exceeding international food safety limits, along with high BSAF and BWAF values for Cd, Cr, and Ni, confirm the significant role of marine mollusks as bioindicators for heavy metal pollution. The specific bioaccumulation patterns highlight species-specific differences in metal uptake and potential ecological and human health risks. Exceeding the DENR (2016) standard and US EPA (2002) for Cr levels in water also indicates a potential environmental concern. These results emphasize that direct environmental measurements alone may not fully capture the extent of heavy metal exposure within the ecosystem, and bioindicator species provide a more integrated and accurate assessment of environmental contamination. The potential health implications for consumers of these mollusks, especially regarding Cd, suggest a need for further monitoring and risk assessment in Guang-guang, Pujada. Continued monitoring of both environmental matrices and bioindicator species is crucial for safeguarding marine ecosystem health and ensuring the safety of seafood for coastal communities. The identified anthropogenic sources, ranging from industrial and agricultural runoff to mining activities, underscore the need for environmental management and stricter regulatory enforcement to mitigate heavy metal input into the bay.

SUMMARY

Heavy metals enter marine environments primarily through land-based human activities, including industrial, municipal, and domestic wastewater discharge, surface runoff, and mining operations (Deocaris et al., 2022; Diwa et al., 2022; El-Sharkawy et al., 2025). In developing regions like the Philippines, rapid industrialization, urbanization, and insufficient waste management exacerbate contamination, contributing to elevated levels of Cd, Zn, Pb, Cu, and Ni in coastal waters (Aya-ay et al., 2025; Corales-Ultra et al., 2019; Gibaga et al., 2024). Agricultural effluents, riverine inputs, port activities, and metal processing further transport metals into marine ecosystems (Wang et al., 2025; Ebol et al., 2020; Diwa et al., 2022). In Guang-guang, Pujada Bay, water and sediment analyses revealed generally low heavy metal concentrations, with sediment consistently below established safety thresholds, indicating a relatively pristine environment; however, Cr in the water exceeded national standards, signaling localized anthropogenic influence and the potential for bioaccumulation (Aja et al., 2021; Nillos et al., 2020; Laudiño et al., 2024; Olivares et al., 2019; Prudente et al., 1994). Bioaccumulation in marine organisms, particularly mollusks, reflects their role as effective bioindicators due to filtration feeding and limited mobility (Phương, 2014; Zongo et al., 2022; Azratul et al., 2017; Kocabaş and Kocabaş, 2023; Zafar et al., 2023). In Pujada Bay, L. millepeda exhibited elevated Cd levels exceeding international food safety limits, highlighting potential health risks to consumers (Ghosn, 2019; Saleh et al., 2021). Other species, including C. erythrinum and A. antiquata, showed moderate Cd accumulation, while Cr and Ni also demonstrated species-specific uptake (Tayone, 2017; Tayone et al., 2020; Marquez and Avenido, 2022; Sorrosa et al., 2015). Comparable patterns of metal accumulation have been observed in Southeast Asia, emphasizing mollusks' sensitivity to environmental contamination (Tanhan et al., 2022; Saleh et al., 2021; Hossen et al., 2015; Islam et al., 2016). These findings underscore the importance of continuous monitoring, as even low environmental concentrations can bioaccumulate in seafood, posing ecological and public health concerns (Kocabaş and Kocabaş, 2023; Kim et al., 2025; Ibrahim et al., 2023).

ACKNOWLEDGEMENT

The authors gratefully acknowledge DOrSU for funding this study, the Protected Area Management Board (PAMB) for its approval to conduct the research, and Dr. Cirilo Ybañez, a marine biologist for the mollusk verification and taxonomic identification.

ABBREVIATIONS

AAS
Atomic Absorption Spectroscopy
BSAF
Biota-Sediment Accumulation Factor
BWAF
Biota-Water Accumulation Factor
Cd
Cadmium
Cr
Chromium
DENR
Department of Environmental and Natural Resources
DOrSU
Davao Oriental State University
EU
European Union
Fe
Iron
ICP-OES
Inductively Coupled Plasma Optical Emission Spectrometry
Ni
Nickel
NOAA
National Oceanic and Atmospheric Administration
PAMB
Protected Area Management Board
Pb
Lead
PEL
Probable Effect Level
TEL
Threshold Effect Level
US EPA
United States Environmental Protection Agency.

CONFLICT OF INTEREST

The authors declare that there is no conflict of interest.

AUTHORS CONTRIBUTIONS

Hayma T. Usman was responsible for securing PAMB approval to conduct the study, performing the sample collection, field and laboratory work, data curation, and preparing the original draft. Conceptualization, funding acquisition, and writing contributors-including editing, polishing, and guidance-were provided by Janeth C. Tayone, Wilanfranco C. Tayone, Roselyn V. Regino, and France Guillian B. Rapiz. Statistical analysis was conducted by Ivan L. Saligumba

REFERENCES

As published

Showing references and in-text citations exactly as published.

  1. Agency, U. S. E. P. (2002). National recommended water quality criteria: 2002 (EPA-822-R-02-047). Office of Water.GOOGLE SCHOLAR
  2. Ahamad, M. I, Yao, Z, Ren, L, Cheng, Z, Li, T, & Lu, H. (2024). Impact of heavy metals on aquatic life and human health: A case study of river Ravi, pakistan. Frontiers in Marine Science, 11, 1374835. https://doi.org/10.3389/fmars.2024.1374835CrossrefGOOGLE SCHOLAR
  3. Ahmed, Q, Ali, Q. M, & Bat, L. (2017). Assessment of heavy metals concentration in holothurians, sediments and water samples from coastal areas of pakistan (northern arabian sea). Journal of Coastal Life Medicine, 5(5), 191–197. https://doi.org/10.12980/jclm.5.2017j7-56CrossrefGOOGLE SCHOLAR
  4. Aja, D, Okolo, C. C, Nwite, N. J, & Njoku, C. (2021). Environmental risk assessment in selected dumpsites in abakaliki metropolis, ebonyi State, southeastern nigeria. Environmental Challenges, 4, 100143. https://doi.org/10.1016/j.envc.2021.100143CrossrefGOOGLE SCHOLAR
  5. Amini, Z, Hatami-Manesh, M, Aazami, J, & Savabieasfahani, M. (2022). Bioavailability of heavy metals in surface sediment of anzali international Wetland, iran. Research Square. https://doi.org/10.21203/rs.3.rs-2005906/v1CrossrefGOOGLE SCHOLAR
  6. Artar, E, Olgunoglu, M. P, & Olgunoglu, I. A. (2024). Evaluation of heavy metal accumulation and associated human health risks in three commercial marine fish species from the aegean Sea, Türkiye. Italian Journal of Food Science, 36(2), 136–149.GOOGLE SCHOLAR
  7. Association, A. P. H, Association, A. W. W, & Federation, W. E. (2017). (2017). Standard Methods for the Examination of Water and Wastewater (23rd Ed.). APHA.GOOGLE SCHOLAR
  8. Aya-ay, A. M, Badong, V. C, Badang, M. C. N, Fernandez, V. L, Duarte, R. C, & Añonuevo, L. E. (2025). Spatial variation of heavy metals and pathogenic bacteria in coastal waters of davao city and IGACOS: Assessing sources, environmental impact, and health risks. E3s Web of Conferences, 608, 5009. https://doi.org/10.1051/e3sconf/202560805009CrossrefGOOGLE SCHOLAR
  9. Azratul, M. D, John, A, Kamaruzzaman, B. Y, Hassan, B, Jalal, C. A. K, & Faizul, N. (2017). Biomonitoring selected heavy metal concentration in nerita sp. Collected From Tanjung Lumpur Mangrove Forest. Environmental Ecosystem Science, 1(1), 4–7. https://doi.org/10.26480/ees.01.2017.04.07CrossrefGOOGLE SCHOLAR
  10. Bakhshalizadeh, S, Liyafoyi, A. R, Fazio, F, Mora-Medina, R, & Ayala-Soldado, N. (2022). Health risk assessment of heavy metal concentration in muscle of chelon auratus and chelon saliens from the southern caspian sea. Environmental Geochemistry and Health, 45(6), 3377–3389. https://doi.org/10.1007/s10653-022-01401-xCrossrefGOOGLE SCHOLAR
  11. Boudammoussi, M. E, Hammoudani, Y. E, Haboubi, K, Achoukhi, I, Moudou, M, & Faiz, H. (2024). State of the art of trace metal detection in the mediterranean coastal marine environment: Combinatorial approach using mytilus galloprovincialis and surface sediments. E3s Web of Conferences, 527, 2009. https://doi.org/10.1051/e3sconf/202452702009CrossrefGOOGLE SCHOLAR
  12. Bryan, G. W, & Langston, W. J. (1992). Bioavailability, accumulation and effects of heavy metals in sediments with special reference to united kingdom estuaries: A review. Environmental Pollution, 76(2-3), 89–131. )90099-V. https://doi.org/10.1016/0269-7491(92CrossrefGOOGLE SCHOLAR
  13. Buchman, M. F. (1999). NOAA screening quick reference tables (SQuiRTs). NOAA HAZMAT Report 99-1. National Oceanic and Atmospheric Administration.GOOGLE SCHOLAR
  14. Chris, D. I, Wokeh, O. K, Lananan, F, & Azra, M. N. (2023). Assessment of temporal variation of water quality parameters and ecotoxic trace metals in southern nigeria coastal water. Polish Journal of Environmental Studies, 32(5), 4493–4504. https://doi.org/10.15244/pjoes/166594CrossrefGOOGLE SCHOLAR
  15. Commission, C. A. (2023). General standard for contaminants and toxins in food and feed (CXS 193-1995, amended 2023). Food and Agriculture Organization of the United Nations (FAO) and World Health Organization (WHO).GOOGLE SCHOLAR
  16. Commission, E. (2006). Commission regulation (EC) no 1881/2006 of 19 december 2006 setting maximum levels for certain contaminants in foodstuffs. Official Journal of the European Union.GOOGLE SCHOLAR
  17. Conti, M. E, Tudino, M, Finoia, M. G, Simone, C, & Stripeikis, J. (2019). Performance of two patagonian molluscs as trace metal biomonitors: The overlap bioaccumulation index (OBI) as an integrative tool for the management of marine ecosystems. Ecological Indicators, 101, 749–756. https://doi.org/10.1016/j.ecolind.2019.01.060CrossrefGOOGLE SCHOLAR
  18. Corales-Ultra, O. G, Peja, R, & Casas, E. V. (2019). Baseline study on the levels of heavy metals in seawater and macroalgae near an abandoned mine in Manicani, Guiuan, eastern Samar, philippines. Marine Pollution Bulletin, 149, 110549. https://doi.org/10.1016/j.marpolbul.2019.110549CrossrefGOOGLE SCHOLAR
  19. DeForest, D. K, Brix, K. V, & Adams, W. J. (2007). Assessing metal bioaccumulation in aquatic environments: The inverse relationship between bioaccumulation factors, trophic transfer factors and exposure concentration. Aquatic Toxicology, 84(2), 236–246. https://doi.org/10.1016/j.aquatox.2007.02.022CrossrefGOOGLE SCHOLAR
  20. Denil, D. J, Ching, F. F, & 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(4), 494–505. https://doi.org/10.4236/ojms.2017.74035CrossrefGOOGLE SCHOLAR
  21. Deocaris, C. C, Diwa, R. R, & Tucio, P. (2022). Assessment of heavy metal levels in an urban river in the philippines using an unconstrained ordination- And GIS-based approach: Evidence of the return of past pollution after the 2013 typhoon haiyan (yolanda). H2open Journal, 5(3), 412–424. https://doi.org/10.2166/h2oj.2022.012CrossrefGOOGLE SCHOLAR
  22. Dillwyn, L. (n.d.). W. (1817). a Descriptive Catalogue of Recent Shells, Arranged According to the Linnæan Method; With Particular Attention to the Synonymy (vols. 1-2). J. and A. Arch. https://doi.org/10.5962/bhl.title.10437CrossrefGOOGLE SCHOLAR
  23. Diwa, R. R, Elvira, M, Deocaris, C. C, Fukuyama, M, & Belo, L. (2022). Transport of toxic metals in the bottom sediments and health risk assessment of corbicula fluminea (asiatic clam) collected from laguna de Bay, philippines. Science of the Total Environment, 838, 156522. https://doi.org/10.1016/j.scitotenv.2022.156522CrossrefGOOGLE SCHOLAR
  24. Ebol, E. L, Donoso, C. H, Saura, R. B. D, Ferol, R. J. C, Mozar, J. R. D, & Bermon, A. N. (2020). Heavy metals accumulation in surface waters, bottom sediments and aquatic organisms in lake Mainit, philippines. International Letters of Natural Sciences, 79, 40–52. https://doi.org/10.56431/p-mfp52dCrossrefGOOGLE SCHOLAR
  25. El-Sharkawy, M, Alotaibi, M. O, Li, J, Du, D, & Mahmoud, E. (2025). Heavy metal pollution in coastal environments: Ecological implications and management strategies: A review. Sustainability, 17(2), 701. https://doi.org/10.3390/su17020701CrossrefGOOGLE SCHOLAR
  26. Ergen (2020). Sediment-friendly formulas: A review on the sediment quality guidelines. Dergipark (istanbul University).GOOGLE SCHOLAR
  27. Fred, A. O. (2019). A 50-year review on heavy metal pollution in the environment: Bivalves as bio-monitors. African Journal of Environmental Science and Technology, 13(6), 220–230. https://doi.org/10.5897/AJEST2018.2597CrossrefGOOGLE SCHOLAR
  28. Ghosn, M. (2019). Chemical contamination in different marine organisms along the lebanese coast: Environmental implications and health risks (thesis). HAL Archives Ouvertes.GOOGLE SCHOLAR
  29. Gibaga, C. R, Samaniego, J, Tanciongco, A, & Quierrez, R. N. (2023). Pollution assessment of mercury and other potentially toxic elements in the marine sediments of mambulao Bay, jose Panganiban, camarines Norte, philippines. Marine Pollution Bulletin, 192, 115032. https://doi.org/10.1016/j.marpolbul.2023.115032CrossrefGOOGLE SCHOLAR
  30. Hossen, M. F, Hamdan, S, & Rahman, M. R. (2015). Review on the risk assessment of heavy metals in malaysian clams. The Scientific World Journal, 905497. https://doi.org/10.1155/2015/905497CrossrefGOOGLE SCHOLAR
  31. Hu, S, Chen, X, Xue, Y. X, Zhi, L. Y, Yang, Y, & Zhu, Y. (2022). Metal(loid)s in aquatic products and their potential health risk. Research Square. https://doi.org/10.21203/rs.3.rs-2154214/v1CrossrefGOOGLE SCHOLAR
  32. Hu, S, Chen, X, Xue, Y. X, Zhi, L. Y, Yang, Y, & Zhu, Y. (2023). Metal(loid)s in aquatic products and their potential health risk. Exposure and Health, 16(1), 57–69. https://doi.org/10.1007/s12403-023-00536-1CrossrefGOOGLE SCHOLAR
  33. Ibrahim, A. M, Haleem, A, G, S. A, & Taha, R. G. (2023). Biomonitoring of manganese metal pollution in water and its impacts on biological activities of biomphalaria alexandrina snails. Environmental Science and Pollution Research, 30(48), 105967–105976. https://doi.org/10.1007/s11356-023-29786-xCrossrefGOOGLE SCHOLAR
  34. International, A. (2000). Official methods of analysis (17th ed, vol. 1: Metals and Other Elements). AOAC International.GOOGLE SCHOLAR
  35. Islam, M. S, Bhuyan, M. S, Monwar, M. M, & Akhtar, A. (2016). Some health hazard metals in commercially important coastal molluscan species in bangladesh. Bangladesh Journal of Zoology, 44(1), 123–134. https://doi.org/10.3329/bjz.v44i1.30182CrossrefGOOGLE SCHOLAR
  36. Ismail, T. H. T, Adnan, N. A. F, & Samah, M. A. A. (2017). Study on accumulation of Fe, Pb, Zn, ni and cd in nerita lineata and thais bitubercularis from tanjung harapan and teluk Kemang, malaysia. Journal of Clean Water and Sanitation, 1(1), 6–16. https://doi.org/10.26480/jcleanwas.01.2017.06.16CrossrefGOOGLE SCHOLAR
  37. Kim, N. T. T. H, Duong, V. H, Chu, T. T, Pham, T. T. X, Nguyen, X. Q, Vu, V, & S. (2025). Mussels as bioindicators for the rapid detection of heavy metal fluctuations in marine coastal waters: A case study of seasonal bioaccumulation monitoring and assessment of perna viridis from the gulf of tonkin coastline, hai Phong, vietnam. Water, 17(17), 2552. https://doi.org/10.3390/w17172552CrossrefGOOGLE SCHOLAR
  38. Kocabaş, F, & Kocabas, M. (2023). Structural and elemental analysis of sediments from Demirköprü dam lake by SEM/EDS (scanning electron microscopy/energy dispersive spectroscopy) and ecological risk evaluation. Research Square. https://doi.org/10.21203/rs.3.rs-3372383/v1CrossrefGOOGLE SCHOLAR
  39. Laudiño, F. A, Agtong, R. J, Jumawan, J. C, Fukuyama, M, & Elvira, M. (2024). Assessment of contamination and potential ecological risks of heavy metals in the bottom sediments of lake Mainit, philippines. Journal of Hazardous Materials Advances, 15, 100443. https://doi.org/10.1016/j.hazadv.2024.100443CrossrefGOOGLE SCHOLAR
  40. Li, J, Zhang, J, & Wang, W. X. (2010). Bioaccumulation of heavy metals in marine organisms and implications for human health. Chemosphere, 81(2), 145–151. https://doi.org/10.1016/j.chemosphere.2010.06.023CrossrefGOOGLE SCHOLAR
  41. Lin, H, Luo, X, Yu, D, He, C, Cao, W, & He, L. (2024). Risk assessment of As, Cd, Cr, and pb via the consumption of seafood in haikou. Research Square. https://doi.org/10.21203/rs.3.rs-4395865/v1CrossrefGOOGLE SCHOLAR
  42. Linnaeus, C. (n.d.). (1758). Systema Naturae Per Regna Tria Naturae, Secundum Classes, Ordines, Genera, Species, Cum Characteribus, Differentiis. (10th Ed.). Laurentii Salvii.GOOGLE SCHOLAR
  43. Liu, Y, Yang, S, Tang, F. D, Ma, W, & Li, Y. (2020). Concentration distribution of heavy metals in manila clam (ruditapes philippinarum) and potential health risk in the coastal areas of liaodong Bay, china. Applied Ecology and Environmental Research, 18(1), 77–88. https://doi.org/10.15666/aeer/1801_077088CrossrefGOOGLE SCHOLAR
  44. Luoma, S. N, & Rainbow, P. S. (2008). Metal contamination in aquatic environments: Science and lateral management. Cambridge University Press.GOOGLE SCHOLAR
  45. Mahmudiono, T, Esfandiari, Z, Zare, A, Sarkhoshkalat, M, Mehri, F, & Fakhri, Y. (2024). Concentration of potentially toxic elements in fillet shrimps of the mediterranean Sea: Systematic review, meta-analysis and health risk assessment. Food Chemistry X, 21, 101206. https://doi.org/10.1016/j.fochx.2024.101206CrossrefGOOGLE SCHOLAR
  46. Marquez, E. T, & Avenido, P. (2022). Bioaccumulation potential of marine bivalve seashells on heavy metals along the intertidal zone of selected coastal barangays in Malita, davao Occidental, philippines. South Florida Journal of Development, 3(2), 2915–2925. https://doi.org/10.46932/sfjdv3n2-104CrossrefGOOGLE SCHOLAR
  47. Molera, A. J, Hernández-Martínez, A. M, García-March, J. R, & Tena-Medialdea, J. (2024). Copper, lead, and cadmium monitoring via the small-spotted catshark (scyliorhinus canicula; Linnaeus, 1758): Space-time driven variability in western mediterranean populations. Environmental Science and Pollution Research, 31(39), 51300–51312. https://doi.org/10.1007/s11356-024-34536-8CrossrefGOOGLE SCHOLAR
  48. Molera, A. J, Hernández-Martínez, A. M, García-March, J. R, & Tena-Medialdea, J. (2023). Copper, lead and cadmium monitoring via the small-spotted catshark (scyliorhinus canicula; Linnaeus, 1758): Space-time driven variability in western mediterranean populations. Research Square. https://doi.org/10.21203/rs.3.rs-3210738/v1CrossrefGOOGLE SCHOLAR
  49. Nillos, M. G, Taberna, H. S, Sesbreño, R. S, Pahila, I. G, Okamoto, Y, & Añasco, N. C. (2020). Geochemical speciation of metals (Cu, Pb, cd) in fishpond sediments in batan Bay, Aklan, philippines. Environmental Monitoring and Assessment, 192(10), 658. https://doi.org/10.1007/s10661-020-08613-7CrossrefGOOGLE SCHOLAR
  50. Olivares, R, Maria, E. S, & Sombrito, E. Z. (2019). Environmental assessment of metal pollution in manila bay surface sediments. Philippine Journal of Science, 149(S1), 21–35. https://doi.org/10.56899/149.s1.21CrossrefGOOGLE SCHOLAR
  51. Ong, M. C, & Yunus, K. (2019). Metals pollution in tropical wetlands. In Intechopen Ebooks. Intechopen. https://doi.org/10.5772/intechopen.82153CrossrefGOOGLE SCHOLAR
  52. Oros, & Andra (2025). Bioaccumulation and trophic transfer of heavy metals in marine fish: Ecological and ecosystem-level impacts. Journal of Xenobiotics, 15(2), 59. https://doi.org/10.3390/jox15020059CrossrefGOOGLE SCHOLAR
  53. Perelonia, K. B, Abendanio, C, Raña, J, Opinion, A. G, Villeza, J, & Cambia, F. (2017). Heavy metal contamination in water and fishery resources in manila bay aquaculture farms. Philippine Journal of Fisheries, 24(2), 74–85. https://doi.org/10.31398/tpjf/24.2.2016a0014CrossrefGOOGLE SCHOLAR
  54. Philippines (1994). July 31). Proclamation No. 431, S. : Declaring Pujada Bay and Its Vicinity As a Protected Seascape Under the National Integrated Protected Areas System (NIPAS). Official Gazette of the Republic of the Philippines.GOOGLE SCHOLAR
  55. Phương, T. T. (2014). Bioaccumulation of heavy metals in nha trang Bay, khanh Hoa, viet nam (thesis). HAL Archives Ouvertes.GOOGLE SCHOLAR
  56. Primost, M. A, Gil, M. N, & Bigatti, G. (2017). High bioaccumulation of cadmium and other metals in patagonian edible gastropods. Marine Biology Research, 13(7), 774–782. https://doi.org/10.1080/17451000.2017.1296163CrossrefGOOGLE SCHOLAR
  57. Prudente, M. S, Ichihashi, H, & Tatsukawa, R. (1994). Heavy metal concentrations in sediments from manila Bay, philippines and inflowing rivers. Environmental Pollution, 86(1), 83–88. )90009-4. https://doi.org/10.1016/0269-7491(94CrossrefGOOGLE SCHOLAR
  58. Radomyski, A, Lei, K, Giubilato, E, Critto, A, Lin, C, & Marcomini, A. (2018). Bioaccumulation of trace metals in aquatic food web: A case study, liaodong Bay, NE china. Marine Pollution Bulletin, 137, 555–563. https://doi.org/10.1016/j.marpolbul.2018.11.002CrossrefGOOGLE SCHOLAR
  59. Rainbow, P. S. (2002). Trace metal concentrations in aquatic invertebrates: Why and so what? Environmental Pollution, 120(3), 497-507. )00238-, 5. https://doi.org/10.1016/S0269-7491(02CrossrefGOOGLE SCHOLAR
  60. Rajan, S, & Ishak, N. S. (2017). Estimation of target hazard quotients and potential health risks for metals by consumption of shrimp (litopenaeus vannamei) in Selangor, malaysia. Sains Malaysiana, 46, 1825–1830. https://doi.org/10.17576/jsm-2017-4610-20CrossrefGOOGLE SCHOLAR
  61. Rakočević, Jelena, Šuković, Danijela, Marić, & DragoS (2018). Distribution and relationships of eleven trace elements in muscle of six fish species from skadar lake (montenegro). Turkish Journal of Fisheries and Aquatic Sciences, 18(5). https://doi.org/10.4194/1303-2712-v18_5_01CrossrefGOOGLE SCHOLAR
  62. Rattikansukha, C, Sratongtian, S, Janta, R, & Sichum, S. (2021). Health risk assessment of cadmium and mercury via seafood consumption in coastal area of nai Thung, nakhon si thammarat Province, thailand. Walailak Journal of Science and Technology, 18(10), 9244. https://doi.org/10.48048/wjst.2021.9244CrossrefGOOGLE SCHOLAR
  63. Salah-Tantawy, A, Mahdy, A, Dar, M. A, Young, S. S, & Abdelreheem, A. M. A. (2022). Assessment of heavy metal pollution in seawater, benthic flora and fauna and their ability to survive under stressors along the northern red Sea, egypt. Oceanological and Hydrobiological Studies, 51(4), 355–367. https://doi.org/10.26881/oahs-2022.4.05CrossrefGOOGLE SCHOLAR
  64. Saleh, I, Syamsir, S, Pramaningsih, V, & Hansen, H. (2021). The use of green mussel as bioindicator of heavy metal pollution in Indonesia: A review. Environmental Analysis, Health and Toxicology, 36(4). https://doi.org/10.5620/eaht.2021026CrossrefGOOGLE SCHOLAR
  65. Sami, M, Ibrahim, N. K, & Mohammad, D. A. (2020). Impact of the size of commercial bivalves on bioaccumulation and depuration of heavy metals. Egyptian Journal of Aquatic Biology and Fisheries, 24(7), 553–566. https://doi.org/10.21608/ejabf.2020.122312CrossrefGOOGLE SCHOLAR
  66. Sanchez-Delute, C. C, Atoy, S. E. B, & Ybañez, C. (2025). Seagrass ecosystems in pujada Bay, davao Oriental, Philippines: Evaluating the impact of anthropogenic pressures on species richness. Academic Journal of Biology, 47(3), 13. https://doi.org/10.15625/2615-9023/22573CrossrefGOOGLE SCHOLAR
  67. Sorrosa, J, Tayone, J. C, Tayone, W. C, Eballe, A, Nanual, B, & Saligumba, I. (2015). Sediment accumulation rates in pujada bay as determined by sediment traps. Davao Research Journal, 11(1), 15–22. https://doi.org/10.59120/drj.v11i1.17CrossrefGOOGLE SCHOLAR
  68. Swaleh, M. M, Ruwa, R. K, Wainaina, M. N, Ojwang, L, Shikuku, S. L, & Maghanga, J. K. (2016). Heavy metals bioaccumulation in edible marine bivalve mollusks of tudor Creek, Mombasa, kenya. IOSR Journal of Environmental Science, Toxicology and Food Technology, 10(8), 43–52. https://doi.org/10.9790/2402-1008024352CrossrefGOOGLE SCHOLAR
  69. Tanhan, P, Lansubsakul, N, Phaochoosak, N, Sirinupong, P, Yeesin, P, & Imsilp, K. (2022). Human health risk assessment of heavy metal concentration in seafood collected from pattani Bay, thailand. Toxics, 11(1), 18. https://doi.org/10.3390/toxics11010018CrossrefGOOGLE SCHOLAR
  70. Tayone, J. C. (2017). Tracing metal concentrations in egg strings of sea hare, dolabella auricularia, from pujada bay. International Journal of Advanced and Applied Sciences, 4(2), 134–139. https://doi.org/10.21833/ijaas.2017.02.022CrossrefGOOGLE SCHOLAR
  71. Tayone, J. C, Ortiz, J. C. C, & Tayone, W. C. (2020). Selected mollusks from pujada Bay, Philippines: Heavy metal health risk assessment and antibacterial activities. Asian Journal of Biological and Life Sciences, 9(2), 177–184. https://doi.org/10.5530/ajbls.2020.9.27CrossrefGOOGLE SCHOLAR
  72. Terayama, K, Mizuno, K, Tabeta, S, Sakamoto, S, Sugimoto, Y, & Sugimoto, K. (2021). Cost-effective seafloor habitat mapping using a portable speedy sea scanner and deep-learning-based segmentation: A sea trial at pujada Bay, philippines. Methods in Ecology and Evolution, 13(2), 339–350. https://doi.org/10.1111/2041-210X.13744CrossrefGOOGLE SCHOLAR
  73. Wang, E, Yang, Y, Sun, Y, Wang, J, Chen, X, & Yang, J. (2025). Comprehensive assessment of heavy metal pollution in northeast fuqing Bay: Integrating sediments, seawater, and marine organisms analysis with multivariate techniques. Frontiers in Marine Science, 12. https://doi.org/10.3389/fmars.2025.1684021CrossrefGOOGLE SCHOLAR
  74. Wang, S, Mizuno, K, Tabeta, S, Terayama, K, Sakamoto, S, & Sugimoto, Y. (2023). An efficient segmentation method based on semi-supervised learning for seafloor monitoring in pujada Bay, philippines. Ecological Informatics, 78, 102371. https://doi.org/10.1016/j.ecoinf.2023.102371CrossrefGOOGLE SCHOLAR
  75. Wang, W. X, Rainbow, P. S, & Liu, F. (2012). Accumulation and biological effects of trace metals in aquatic organisms. Environmental Toxicology and Chemistry, 31(1), 20–27. https://doi.org/10.1002/etc.708CrossrefGOOGLE SCHOLAR
  76. Yap, C. K, & Al-Mutairi, K. A. (2021). Ecological-health risk assessments of heavy metals (Cu, Pb, and zn) in aquatic sediments from the ASEAN-5 emerging developing countries: A review and synthesis. Biology, 11(1), 7. https://doi.org/10.3390/biology11010007CrossrefGOOGLE SCHOLAR
  77. Yap, C. K, Cheng, W. H, Karami, A, & Ismail, A. (2016). Health risk assessments of heavy metal exposure via consumption of marine mussels collected from anthropogenic sites. Science of the Total Environment, 553, 285–296. https://doi.org/10.1016/j.scitotenv.2016.02.092CrossrefGOOGLE SCHOLAR
  78. Yona, D, Sartimbul, A, Rahman, M. A, Sari, S. H. J, Mondal, P, & Hamid, A. (2021). Bioaccumulation and health risk assessments of heavy metals in mussels collected from madura Strait, indonesia. Jurnal Ilmiah Perikanan Dan Kelautan, 13(1), 20–28. https://doi.org/10.20473/jipk.v13i1.24677CrossrefGOOGLE SCHOLAR
  79. Yu, X, Sun, L, Zhu, X, Bian, G, Zhou, W, & Cao, Q. (2022). Distribution characteristics and risk assessment of heavy metals in seawater, sediment and shellfish in the inner and outer daya Bay, guangdong. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.1064287CrossrefGOOGLE SCHOLAR
  80. Zafar, F. H. S, Bat, L, Mehmood, S, & Hussein, S. I. (2023). Heavy metals analysis of the limpet cellana karachiensis (Winckworth, 1930) from two rocky shores of the karachi coasts of pakistan. International Journal of Environment and Geoinformatics, 7(1), 80–87. https://doi.org/10.30897/ijegeo.683454CrossrefGOOGLE SCHOLAR
  81. Zhang, S, Dong, C, Wang, J, Zheng, M, Chen, X, & Zhou, Y. (2025). Spatial variations and potential risks of heavy metals in sediments, seawater, and marine organisms of yuhuan coastal area, china. Frontiers in Marine Science, 12. https://doi.org/10.3389/fmars.2025.1708328CrossrefGOOGLE SCHOLAR
  82. Zongo, S, Ngohang, F. E, Mabert, B. D. C. K, & Moundounga, N. R. (2022). Molluscs organisms diversity and temperature fluctuation of cap Estérias rocky foreshore (gabon). Research Square. https://doi.org/10.21203/rs.3.rs-2034818/vCrossrefGOOGLE SCHOLAR

Cite this article

SELECT FORMAT

Usman, H. T., Tayone, J. C., Regino, R. V., Rapiz, F. G. B., Saligumba, I. L., & Tayone, W. C. (2026). Marine Mollusks as Bioindicators of Heavy Metal Contamination in the Aquatic Ecosystem of Guang-guang, Pujada Bay, Philippines. Asian Journal of Biological and Life sciences, 15(3), 648–658. https://doi.org/10.5530/ajbls.20260117