• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

测定南非夸祖鲁-纳塔尔省德班南部工业区选定鱼类物种和海水中的重金属。

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

机构信息

School of Chemistry and Physics, University of KwaZulu-Natal, Durban, 4000, South Africa.

Department of Community Health Studies, Faculty of Health Sciences, Durban University of Technology, Durban, 4000, South Africa.

出版信息

Environ Monit Assess. 2021 Mar 22;193(4):206. doi: 10.1007/s10661-021-09014-0.

DOI:10.1007/s10661-021-09014-0
PMID:33751252
Abstract

The South Durban Industrial Basin (SDIB), South Africa, an economic hub that spans a long coastline, is a disaster management hotspot, which threatens the sustainability of the fishing industry in this region. This study investigated the elemental concentrations in fish and seawater from a mini-ecosystem in the SDIB, to determine if a direct relationship exists between these two matrices, and to assess for metal toxicities. The results showed As and Cr to be above the maximum permissible limits (MPLs) of the World Health Organization (WHO) for all fish species (blacktail, karanteen, five finger, mullet, and pompano), while fish from Isipingo Beach exceeded the WHO MPLs for Pb, As, and Cr. Fish did not display signs of metal toxicity indicating either a harmless form of metals or high tolerance levels. Typical concentrations of metals in seawater (mg L) at (Isipingo Beach, Cuttings Beach, and Amanzimtoti Beach) were found to be for Al (3, 2.7, and 16.4), As (0.17, 0.11, and 0.19), Cr (0.16, 0.17, and 0.23), Cu (0.15, 0.13, and 0.24), Fe (2.7, 3.45, and 33.9), and Zn (2, 2.1, and 2.12). Except for As, estimated daily intakes, target hazard quotients, and carcinogenic risks indicated no associated health risks due to consumption of the fish from the SDIB. However, due to target hazard quotients and carcinogenic risks for As being above 4 and 0.0001, respectively, fish from the SDIB should be consumed in moderation or not consumed to prevent long-term toxic effects of As.

摘要

南非的德班南部工业盆地(SDIB)是一个横跨漫长海岸线的经济中心,是灾害管理的热点地区,这威胁到该地区渔业的可持续性。本研究调查了 SDIB 小型生态系统中的鱼类和海水中的元素浓度,以确定这两个矩阵之间是否存在直接关系,并评估金属毒性。结果表明,所有鱼类(黑尾鱼、karanteen、五指鱼、鲻鱼和鲳鱼)的砷和铬含量均高于世界卫生组织(WHO)的最大允许限量(MPL),而伊西平戈海滩的鱼类铅、砷和铬含量超过了 WHO MPL。鱼类没有表现出金属毒性的迹象,表明金属要么以无害的形式存在,要么具有很高的耐受水平。海水(mg/L)中典型金属浓度(伊西平戈海滩、Cuttings 海滩和阿马祖托蒂海滩)分别为铝(3、2.7 和 16.4)、砷(0.17、0.11 和 0.19)、铬(0.16、0.17 和 0.23)、铜(0.15、0.13 和 0.24)、铁(2.7、3.45 和 33.9)和锌(2、2.1 和 2.12)。除了砷,估计每日摄入量、目标危害系数和致癌风险都表明,由于食用 SDIB 的鱼类,不会对健康造成相关风险。然而,由于目标危害系数和致癌风险的砷分别高于 4 和 0.0001,因此应适量食用或不食用 SDIB 的鱼类,以防止砷的长期毒性作用。

相似文献

1
Determination of heavy metals in selected fish species and seawater from the South Durban Industrial Basin, KwaZulu-Natal, South Africa.测定南非夸祖鲁-纳塔尔省德班南部工业区选定鱼类物种和海水中的重金属。
Environ Monit Assess. 2021 Mar 22;193(4):206. doi: 10.1007/s10661-021-09014-0.
2
Metal concentration in the tourist beaches of South Durban: An industrial hub of South Africa.南非工业中心德班南部旅游海滩的金属浓度。
Mar Pollut Bull. 2017 Apr 15;117(1-2):538-546. doi: 10.1016/j.marpolbul.2017.02.036. Epub 2017 Feb 22.
3
Evaluation of health risks from exposure to arsenic and heavy metals through consumption of ten fish species.评价十种鱼类消费导致的砷和重金属暴露的健康风险。
Environ Sci Pollut Res Int. 2019 Nov;26(32):33311-33320. doi: 10.1007/s11356-019-06450-x. Epub 2019 Sep 13.
4
Investigating toxic metal levels in popular edible fishes from the South Durban basin: implications for public health and food security.调查南德班盆地常见食用鱼类中的有毒金属含量:对公共健康和食品安全的影响。
Environ Monit Assess. 2018 Jul 19;190(8):476. doi: 10.1007/s10661-018-6862-5.
5
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.南非德班盆地和卡普维达尔地区海狼鱼(Trachurus trachurus)和金头鲷(Chrysoblephus puniceus)体内重金属的生物积累、生物指示和健康风险评估。
Arch Environ Contam Toxicol. 2023 Aug;85(2):165-180. doi: 10.1007/s00244-023-01028-8. Epub 2023 Aug 17.
6
Spatial distribution, ecological and health risk assessment of heavy metals in marine surface sediments and coastal seawaters of fringing coral reefs of the Persian Gulf, Iran.伊朗波斯湾边缘珊瑚礁海域表层沉积物和近岸海水中重金属的空间分布、生态和健康风险评估。
Chemosphere. 2017 Oct;185:1090-1111. doi: 10.1016/j.chemosphere.2017.07.110. Epub 2017 Jul 23.
7
Bioavailable metals in tourist beaches of Richards Bay, Kwazulu-Natal, South Africa.南非夸祖鲁-纳塔尔省理查兹湾旅游海滩中的生物可利用金属。
Mar Pollut Bull. 2016 Apr 15;105(1):430-6. doi: 10.1016/j.marpolbul.2016.01.045. Epub 2016 Feb 4.
8
Bioaccumulation of trace metals in freshwater prawn, Macrobrachium rosenbergii from farmed and wild sources and human health risk assessment in Bangladesh.孟加拉国养殖和野生来源的淡水虾 (Macrobrachium rosenbergii) 中痕量金属的生物积累及其对人类健康的风险评估。
Environ Sci Pollut Res Int. 2020 May;27(14):16426-16438. doi: 10.1007/s11356-020-08028-4. Epub 2020 Mar 2.
9
Accumulation of trace elements in selected fish and shellfish species from the largest natural carp fish breeding basin in Asia: a probabilistic human health risk implication.亚洲最大的天然鲤鱼养殖区中部分鱼类和贝类体内微量元素的积累:对人类健康的潜在风险。
Environ Sci Pollut Res Int. 2020 Oct;27(30):37852-37865. doi: 10.1007/s11356-020-09766-1. Epub 2020 Jul 1.
10
Heavy metals in sediment and their accumulation in commonly consumed fish species in Bangladesh.孟加拉国沉积物中的重金属及其在常见食用鱼类中的积累。
Arch Environ Occup Health. 2017 Jan 2;72(1):26-38. doi: 10.1080/19338244.2016.1152946. Epub 2016 Feb 16.

引用本文的文献

1
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.南非德班盆地和卡普维达尔地区海狼鱼(Trachurus trachurus)和金头鲷(Chrysoblephus puniceus)体内重金属的生物积累、生物指示和健康风险评估。
Arch Environ Contam Toxicol. 2023 Aug;85(2):165-180. doi: 10.1007/s00244-023-01028-8. Epub 2023 Aug 17.
2
Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water.基于神经粒子群优化算法的地下水和地表水中重金属浓度原位预测模型
Toxics. 2022 Feb 18;10(2):95. doi: 10.3390/toxics10020095.