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Occurrence, distribution, and tissue concentrations of organochlorine pesticides in marine sediments, bivalves, and two reef fish (Siganus sutor and Lethrinus nebulosus) from coastal waters of Unguja Island, Tanzania: baseline levels, sediment-quality screening and dietary risk

Our take

Baseline data on organochlorine pesticide (OCP) contamination are crucial for effective marine ecosystem management. This study establishes initial levels of ten target OCPs in sediments, bivalves, and reef fish (*Siganus sutor* and *Lethrinus nebulosus*) from Unguja Island, Tanzania, revealing concentrations dominated by endrin ketone, p,p′-DDT, and p,p′-DDE. Notably, sediment concentrations of p,p′-DDT and dieldrin exceeded established quality guidelines, raising concerns for benthic biota. Further research, including lipid and organic carbon measurements, is prioritized to refine dietary risk assessments, as highlighted in related discussions
Occurrence, distribution, and tissue concentrations of organochlorine pesticides in marine sediments, bivalves, and two reef fish (Siganus sutor and Lethrinus nebulosus) from coastal waters of Unguja Island, Tanzania: baseline levels, sediment-quality screening and dietary risk

The persistence of organochlorine pesticides (OCPs) in marine environments is a long-recognized challenge, and this recent study from Unguja Island, Tanzania, underscores the continued relevance of this issue, particularly in regions with limited baseline data. The research, quantifying ten target OCPs across sediments, bivalves, and reef fish at two coastal locations, highlights a concerning reality: even in seemingly remote tropical ecosystems, legacy pollutants continue to exert a measurable influence. It’s a theme we’ve observed elsewhere, such as in the assessment of fish populations off the coast of Southeast Florida Fish? Southeast FL from Atlantic Ocean, and it reinforces the need for ongoing monitoring efforts to understand the scope and impact of these contaminants. The focus on rabbit fish and spangled emperor, ecologically and economically important species, adds further weight to the findings, as these organisms represent potential pathways for human exposure. Similarly, questions regarding the diets of deep-sea creatures, like the oarfish Oarfish diet question!! What kind of squid do they eat?, often reveal the complex web of contamination that can exist throughout the ocean food chain.

The study’s meticulous approach, employing gas chromatography–mass spectrometry across multiple sampling stations, provides a robust dataset, although limitations are clearly acknowledged by the authors. The relatively small sample size (n=3) prevents definitive conclusions about spatial differences between Chwaka and Nungwi, and the absence of measurements for sediment organic carbon, tissue lipid content, and trophic position restricts a full understanding of bioaccumulation processes. Nevertheless, the identification of sediment concentrations exceeding marine quality guidelines for p,p′-DDT and dieldrin is a significant finding, indicating a potential for adverse effects on benthic communities. The DDT-dominated signal, coupled with the legacy endrin-ketone profile, provides a temporal snapshot of historical pollution sources, suggesting both recent and past inputs of these persistent chemicals. The calculation of hazard indices exceeding 1 for high and child consumers, despite the absence of US FDA action levels in the fish samples, is particularly alarming, underscoring the potential for dietary exposure and associated health risks. Even seemingly minor political events, like the renaming of Lake Ontario U.S. President Donald Trump Renames Lake Ontario ‘Lake America’ Amid U.S.-Canada Trade War, can highlight the importance of clear, scientifically-grounded environmental data.

The authors’ transparent discussion of limitations and the clearly articulated "priority next steps" – wet-weight confirmation, lipid and organic-carbon data, and local consumption rates – are hallmarks of rigorous scientific inquiry. This emphasis on data refinement is crucial for translating screening-level findings into actionable management strategies. The focus on dietary risk assessment, in particular, demonstrates a commitment to understanding the human health implications of environmental contamination. This aligns with World Data Ocean’s core values of purpose-driven impact and global collaboration; the findings emphasize the urgent need for integrated data ecosystems to accurately assess risk and inform effective mitigation efforts. The study’s approach, combining chemical analysis with ecological and human health considerations, provides a valuable framework for similar assessments in other tropical coastal regions facing comparable challenges.

Ultimately, this research serves as a stark reminder that the legacy of OCP pollution continues to impact marine ecosystems globally. While the study provides a valuable baseline assessment, the next phase of research, addressing the identified limitations, is critical for a more complete understanding of the risks and informing targeted interventions. The question remains: how can we leverage this data, alongside similar studies from around the world, to build robust monitoring programs and ultimately reduce the burden of persistent pollutants on both marine life and human populations?

Organochlorine pesticides (OCPs) persist in tropical marine ecosystems, yet baseline data for the eastern and northern coasts of Unguja Island, Tanzania, are absent. This study quantified ten target OCPs (α-HCH, aldrin, dieldrin, endosulfan, p,p′-DDE, p,p′-DDT, isodrin, endrin, endrin ketone and heptachlor epoxide) in surface sediments, bivalves, rabbit fish (Siganus sutor) and spangled emperor (Lethrinus nebulosus) at Chwaka (east coast) and Nungwi (northern tip) by gas chromatography–mass spectrometry (three station composites per matrix per site; n = 3). Nine compounds were detected; endosulfan was not detected in any sample, and α-HCH, endrin and heptachlor epoxide were below detection in all sediments. Mean ΣOCP in sediment was 59.4 ± 23.4 ng g−1 dry weight (dw) at Chwaka and 57.5 ± 23.4 at Nungwi, dominated by endrin ketone, p,p′-DDT and p,p′-DDE. Inter-site differences were negligible to small (Hedges’ g = 0.06–0.48); at n = 3 the design resolves only differences of 72–310 ng g−1 at 80% power, so non-significant results are inconclusive rather than evidence of spatial homogeneity. Mean ΣOCP was higher in biota than in co-located sediment (bivalves 97.9; rabbit fish 121.6; spangled emperor 182.6 ng g−1 dw; matrix-to-sediment concentration quotients 1.7–3.1). Because sediment organic carbon, tissue lipid content and trophic position were not measured, these quotients are descriptive only and are explicitly not interpreted as bioaccumulation, biota–sediment accumulation factors, or trophic transfer. Sediment p,p′-DDT (9.7–29.1) and dieldrin (10.1–22.1 ng g−1 dw) exceeded CCME marine interim sediment quality guidelines and probable-effect levels, indicating a screening-level probability of adverse effects on benthic biota. Sediment DDE/(DDE+DDT) ratios of 0.29–0.40 indicate a DDT-dominated signal consistent with comparatively recent input, whereas the endrin-ketone-dominated cyclodiene profile indicates legacy input. No matrix approached US FDA action levels for fish. Deterministic dietary estimates nevertheless gave hazard indices above 1 for high and child consumers at several matrix–site combinations, and incremental lifetime cancer risks of 1.1 × 10−5 to 6.2 × 10−4 exceeding the 10−4 benchmark for high consumers driven by dieldrin and aldrin. Wet-weight confirmation, lipid and organic-carbon data, and local consumption rates are the priority next steps.

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