Determination of heavy metals in selected fish species and seawater from the South Durban Industrial Basin, KwaZulu-Natal, South Africa

Moodley, Roshila; Mahlangeni, Nomfundo; Reddy, Poovendhree

doi:10.1007/s10661-021-09014-0

Cited by 10 publications

(8 citation statements)

References 30 publications

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“…For cape horse mackerel, Durban Basin samples had higher levels of Ni, Pb and Zn above MAL, while Cape Vidal samples bioaccumulated Pb and Zn above the MAL (Table 3 ). Consistent with our findings, Moodley et al ( 2021 ) recently reported a higher bioaccumulation of As, Cr and Pb in fish species (blacktail, karanteen, five finger, mullet, and pompano) caught in the South Durban Industrial Basin (SDIB), straddling the Isipingo Beach, Cuttings Beach, and Amanzimtoti Beach, South Africa. Similarly, we have also previously reported higher Pb and Zn of 8.44 and 56.71 μg g −1 , respectively, in the fleshy tissues of cape horse mackerel in polluted Durban South (Debipersadh et al 2018 ), than reported in the current study.…”

Section: Resultssupporting

confidence: 92%

“…Environmental conditions and biological factors might influence metal levels in fish from the Durban Basin, and there is a need to identify fish species of which consumption may be a threat to human health. To the best of our knowledge, there are limited studies that have been conducted on the relationship between HMs concentration and edible fishes in the Durban Basin, with anecdotal evidence reporting high accumulation of Al and Zn in six edible fish species (Debipersadh et al 2018 ; Moodley et al 2021 ). These studies indicated that the health risks associated with consuming these fish species were relatively low.…”

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confidence: 99%

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Bioaccumulation, Bioindication and Health Risk Assessment of Heavy Metals in Cape Horse Mackerel (Trachurus trachurus) and Slinger Seabream (Chrysoblephus puniceus) in the Durban Basin and Cape Vidal, South Africa

Debipersadh,

Ogola,

Mearns

et al. 2023

Arch Environ Contam Toxicol

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The bioaccumulation of heavy metals (HMs) in marine fish is a growing global concern due to potential human health risks. The study analyzed HM in the muscle tissue, gills, and gut of adult male and female cape horse mackerel and slinger seabream caught in the polluted Durban Basin and pristine Cape Vidal from April 2018 to February 2019. Results revealed interspecific, spatial, and organ-specific variability in HM levels. In the Durban Basin, slinger seabream had bioaccumulation (in mg/kg) of As (2.3 ± 0.2), Cr (2.6 ± 0.2), Ni (2.0 ± 0.1), and Pb (4.1 ± 0.3) while cape horse mackerel had Ni (1.6 ± 0.2), Pb (4.7 ± 0.6), and Zn (52 ± 3.01) exceeding World Health Organization (WHO) regulatory limits. Metal pollution index (MPI) values were also higher in Durban Basin (> 5.13) than Cape Vidal (< 3.32) for both species’ muscles. Liver and gills of slinger seabream and gut of cape horse mackerel exhibited higher HM accumulation patterns proportionate to the environmental concentrations, indicating the bioindicative potential of HM pollution by the two species. Risk assessment indicated that both fish species had target hazard quotient > 1 for Cr, and target cancer risk < 10–4 for Pb, implying significant potential non-carcinogenic and carcinogenic health risks associated with fish consumption from the Durban Basin. The study recommends daily consumption limits of 16 g/day for slinger seabream and 14 g/day for cape horse mackerel to ensure health safety. The findings contribute to the understanding of HM pollution in the Durban Basin and provide important information for decision-makers and policymakers in developing effective strategies to mitigate and manage HM contamination in fish populations.

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Section: Resultssupporting

confidence: 92%

mentioning

confidence: 99%

Bioaccumulation, Bioindication and Health Risk Assessment of Heavy Metals in Cape Horse Mackerel (Trachurus trachurus) and Slinger Seabream (Chrysoblephus puniceus) in the Durban Basin and Cape Vidal, South Africa

Debipersadh,

Ogola,

Mearns

et al. 2023

Arch Environ Contam Toxicol

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“…Five sampling sites were selected within the SDB area. Due to the presence of heavy industrial activity, the area has been known to be a hotspot for toxic chemicals, particularly atmospheric‐borne pollutants and waste originating from improper disposal (Adebayo et al, 2013; Moodley et al, 2021). The SDB is a pollution high‐risk area as it consists of a mix of residential areas as well as three large petrochemical refineries (FFS oil refinery, Engen crude oil refinery, and SAPREF crude oil refinery), paper mill plants (Mondi), numerous hazardous chemical storage facilities (some of which recently spewed large amounts of dangerous chemicals in July 2021 causing one of the largest environmental disasters in South Africa), hazardous waste dumps, as well as a number of crude oil‐dependent industries (Adebayo et al, 2013; Jaggernath, 2010; Muttoo et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

Utility of an alternative method (to USEPA Method 1613) for analysis of priority persistent organic pollutants in soil from mixed industrial–suburban areas of Durban, South Africa

Rimayi¹,

Madikizela

2022

Integr Envir Assess & Manag

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This study evaluates the adequacy of a USEPA Method 1613 alternative analytical method for analysis of persistent organic pollutants (POPs) in soil from the immediate vicinity of industrialized areas in the eThekwini municipal area in South Africa. The objective of this study is in line with the Stockholm Convention Article 11 on research, development, and monitoring. Furthermore, it became imperative to find an alternative analytical procedure to USEPA Method 1613 that could cater to studies conducted in Africa where recent reviews have indicated that most African countries lack the technical and instrumental capacity for performing analysis of dioxin-like compounds according to USEPA Method 1613, which entails the use of high-resolution chromatography and high-resolution mass spectrometry instrumentation. The study aimed to ascertain the utility of an alternative two-dimensional gas chromatography-time of flight mass spectrometry method for analysis of trace-level priority POPs in soil, along with a fast single quadrupole gas chromatography-mass spectrometry method. The analytical methods were applied to the analysis of POPs on soil samples from industrial areas with oil refineries and a pulp and paper manufacturing company, while other samples were collected near the electricity substations and a landfill site. Analytical results showed BDE 209 as the dominant contaminating polybrominated diphenyl ether (concentration ranges from 0.006 to 5.71 ng g −1 ). Polybrominated biphenyls (PBBs) 9, 10, and 49 were the dominant PBBs detected in 78% of the sites tested, although their concentrations were below the limit of quantification (LOQ). Polychlorinated dibenzo-p-dioxins and furans and dioxin-like polychlorinated biphenyls detected could not be quantified above their respective LOQs, indicating that the Durban area has low priority pollutant contamination levels compared to other regions around the world. The methods developed are a starting point that will inform considerations for routine evaluation and management of soil contamination, which plays a vital role in environmental management.

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“…Total metals were also quantified for each surface water and groundwater sample. The EPA Method 3005A and 200.7 were used for the acid digestion and elemental analysis, respectively, to determine total recoverable or dissolved metals [65,66] and HM metal concentrations for SW and GW at limited sampling locations. The elemental analysis was carried out by ICP-OES Optima 8000.…”

Section: Analysis Of Physicochemical Parameters and Hm Concentrationsmentioning

confidence: 99%

Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water

Jesus

Senoro

Cruz

et al. 2022

Toxics

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Limited monitoring activities to assess data on heavy metal (HM) concentration contribute to worldwide concern for the environmental quality and the degree of toxicants in areas where there are elevated metals concentrations. Hence, this study used in-situ physicochemical parameters to the limited data on HM concentration in SW and GW. The site of the study was Marinduque Island Province in the Philippines, which experienced two mining disasters. Prediction model results showed that the SW models during the dry and wet seasons recorded a mean squared error (MSE) ranging from 6 × 10−7 to 0.070276. The GW models recorded a range from 5 × 10−8 to 0.045373, all of which were approaching the ideal MSE value of 0. Kling–Gupta efficiency values of developed models were all greater than 0.95. The developed neural network-particle swarm optimization (NN-PSO) models for SW and GW were compared to linear and support vector machine (SVM) models and previously published deterministic and artificial intelligence (AI) models. The findings indicated that the developed NN-PSO models are superior to the developed linear and SVM models, up to 1.60 and 1.40 times greater than the best model observed created by linear and SVM models for SW and GW, respectively. The developed models were also on par with previously published deterministic and AI-based models considering their prediction capability. Sensitivity analysis using Olden’s connection weights approach showed that pH influenced the concentration of HM significantly. Established on the research findings, it can be stated that the NN-PSO is an effective and practical approach in the prediction of HM concentration in water resources that contributes a solution to the limited HM concentration monitored data.

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Determination of heavy metals in selected fish species and seawater from the South Durban Industrial Basin, KwaZulu-Natal, South Africa

Cited by 10 publications

References 30 publications

Bioaccumulation, Bioindication and Health Risk Assessment of Heavy Metals in Cape Horse Mackerel (Trachurus trachurus) and Slinger Seabream (Chrysoblephus puniceus) in the Durban Basin and Cape Vidal, South Africa

Bioaccumulation, Bioindication and Health Risk Assessment of Heavy Metals in Cape Horse Mackerel (Trachurus trachurus) and Slinger Seabream (Chrysoblephus puniceus) in the Durban Basin and Cape Vidal, South Africa

Utility of an alternative method (to USEPA Method 1613) for analysis of priority persistent organic pollutants in soil from mixed industrial–suburban areas of Durban, South Africa

Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water

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