BIOACCUMULATION OF ENVIRONMENTAL CONTAMINANTS IN OYSTER (Crassostea sp.) TISSUES IN BAYELSA STATE, NIGERIA
Keywords:
Mangrove ecosystem, Crassotrea sp, Heavy metals, PAHs, Niger Delta, PollutionAbstract
This study assessed the levels of heavy metals and polycyclic aromatic hydrocarbons (PAHs) in oyster (Crassostrea sp.) tissues collected from the St. Nicholas River in Brass Local Government Area, an oil-impacted mangrove ecosystem in Nigeria. Heavy metal analysis revealed that of the three metals tested—cadmium (Cd), mercury (Hg), and zinc (Zn)—only zinc was detected. Zinc concentration was significantly higher in dried oyster samples (0.350 µg/g) compared to fresh samples (0.110 µg/g), but remained within the WHO/FAO permissible limit of 3 µg/g. Cadmium and mercury were not detected in either sample type. PAH analysis identified thirteen congeners in the oyster tissues. In dried oysters, fluorene (56.06 ± 0.10 µg/g dry weight) and benzo(a)pyrene (9.36 ± 0.01 µg/g) were the most abundant, while naphthalene had the lowest concentration (0.08 ± 0.10 µg/g). In fresh oysters, benzo(a)pyrene was highest (1.47 ± 0.20 µg/g), and phenanthrene was lowest (0.03 ± 0.20 µg/g). Over 80% of detected PAHs exceeded WHO/FAO permissible limits, including acenaphthylene (1.16 ± 0.16 µg/g vs. limit of 0.01 µg/g), fluorene (56.06 µg/g vs. 0.001 µg/g), and benzo(k)fluoranthene (7.51 ± 0.27 µg/g vs. 0.1 µg/g). Statistical analysis using the Student’s t-test revealed significant differences in contaminant concentrations between dried and fresh oysters (p < 0.05), confirming bioaccumulation. The findings implicate crude oil pollution, unregulated waste disposal, and combustion byproducts as primary sources of contamination. This study concludes that Crassostrea sp. is a reliable sentinel species for environmental monitoring and highlights the urgent need for pollution control, routine monitoring, and community sensitisation to mitigate public health risks
Downloads
Published
Issue
Section
Similar Articles
- Akens Hamilton-Amachree , Phytochemical Profiling of 30% Acetone Honeybee Crude Extract Collected From Ondo West Forest, Ondo State, Nigeria , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Robinson Ogochukwu Isichei, The Intersection of Artificial Intelligence, Music, and Religion: An Extensive Review Highlighting Contemporary and Emerging Perspectives , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Enefiok Archibong Etuk, Omankwu, Obinnaya Chinecherem Beloved, Spiking Neural Networks (SNNs): A Path towards Brain-Inspired AI , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Gideon Wyasu, Batch adsorption of Hg2+ and As3+ ions in Hospital wastewater using activated carbon from Balanites aegyptiaca and Detarium microcarpum , Communication In Physical Sciences: Vol. 5 No. 4 (2020): VOLUME 5 ISSUE 4
- Ifeanyi E. Otuokere, J.C. Anyanwu, K.K. Igwe, Synthesis, Spectra and Antibacterial Studies of 4-{[(E)-phenylmethyl- idene]amino}-N-(1,3-thiazol-2-yl)benzenesulfonamide Schiff Base Ligand and its Ni(II) Complex , Communication In Physical Sciences: Vol. 7 No. 2 (2021): VOLUME 7 ISSUE 2
- Edet O. Odokwo, Ngozi M. Uzoekwe, Gas Chromatography-Mass Spectrometry Vernonia Hymenolepis Analysis of the Solvent-Solvent Extract of Vernonia Hymenolepis Leaves , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Ololade Omosunlade, Curriculum Framework for Entrepreneurial Innovation among Special Needs Students in the Age of Artificial Intelligence , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Innocent C. Eli, Godspower C. Abanum, Comparison Between Analytical and Numerical Result of Stability Analysis of a Dynamical System , Communication In Physical Sciences: Vol. 5 No. 4 (2020): VOLUME 5 ISSUE 4
- Godwin Enin, GC-MS Profiling of Bioactive Compounds in Methanol Extracts of Spices Used in Ibibio Postpartum Healthcare , Communication In Physical Sciences: Vol. 12 No. 4 (2025): VOLUME1 2 ISSUE 4
- Ayomide Ayomikun Ajiboye, Muslihat Adejoke Gaffari, Onaara Enitan Obamuwagun, Predictive Analytics in Sport Management: Applying Machine Learning Models for Talent Identification and Team Performance Forecasting , Communication In Physical Sciences: Vol. 12 No. 7 (2025): Volume 12 issue 7
You may also start an advanced similarity search for this article.



