Citation
Abstract
We identified marine fish species most preferred by women at reproductive age in Selangor, Malaysia, mercury concentrations in the fish muscles, factors predicting mercury accumulation and the potential health risk. Nineteen most preferred marine fish species were purchased (n = 175) from selected fisherman’s and wholesale market. Length, weight, habitat, feeding habit and trophic level were recognised. Edible muscles were filleted, dried at 80 °C, ground on an agate mortar and digested in Multiwave 3000 using HNO3 and H2O2. Total mercury was quantified using VP90 cold vapour system with N2 carrier gas. Certified reference material DORM-4 was used to validate the results. Fish species were classified as demersal (7) and pelagic (12) or predators (11), zoo benthos (6) and planktivorous (2). Length, weight and trophic level ranged from 10.5 to 75.0 cm, 0.01 to 2.50 kg and 2.5 to 4.5, respectively. Geometric mean of total mercury ranged from 0.21 to 0.50 mg/kg; maximum in golden snapper (0.90 mg/kg). Only 9 % of the samples exceeded the JECFA recommendation. Multiple linear regression found demersal, high trophic (≥4.0) and heavier fishes to accumulate more mercury in muscles (R 2 = 27.3 %), controlling for all other factors. About 47 % of the fish samples contributed to mercury intake above the provisional tolerable level (45 μg/day). While only a small portion exceeded the JECFA fish Hg guideline, the concentration reported may be alarming for heavy consumers. Attention should be given in risk management to avoid demersal and high trophic fish, predominantly heavier ones.
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Official URL or Download Paper: https://link.springer.com/article/10.1007%2Fs11356...
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Environmental Studies Faculty of Medicine and Health Science |
DOI Number: | https://doi.org/10.1007/s11356-016-7402-x |
Publisher: | Springer Verlag |
Keywords: | Marine fish; Mercury; Malaysia; Predictors; Fish characteristics; Linear regression; Health risk |
Depositing User: | Nurul Ainie Mokhtar |
Date Deposited: | 24 Apr 2018 04:08 |
Last Modified: | 24 Apr 2018 04:08 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s11356-016-7402-x |
URI: | http://psasir.upm.edu.my/id/eprint/54783 |
Statistic Details: | View Download Statistic |
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