Microplastic contamination in vertical water columns and fish: a comparative study between the Buriganga River and the Bay of Bengal in Bangladesh.

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Ashiqur Rahman Tamim, Md Abdullah Yousuf Al Harun, Md Atikul Islam, Md Mezbaul Bahar, Md Shaharuf Islam, Mahadi Hasan
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引用次数: 0

Abstract

This study investigated microplastic (MP) contamination in freshwater and marine ecosystems in Bangladesh, focusing on the Buriganga River and the Bay of Bengal. Water and fish samples were collected, digested with H2O2, and analyzed using microscopy and micro-Fourier transform infrared spectroscopy for visual inspection and MP characterization. Microplastics were significantly more prevalent in the freshwater system and its fish compared to the marine environment (p ≤ 0.05), with variations observed across different depths. Fish, particularly those in the benthopelagic zone, showed substantial MPs contamination, predominantly in the form of fibers, fragments, and foam. Transparent MPs dominated in water samples, while colored MPs are more prevalent in fish. Polycarbonate, nitrile, and polypropylene were the major polymers identified in the water and fish samples. A significant positive correlation (r = 0.65, p ≤ 0.05) between MPs in water and fish suggests ingestion of MPs from their habitat.

垂直水柱和鱼类中的微塑料污染:孟加拉国布里甘加河和孟加拉湾的比较研究。
本研究调查了孟加拉国淡水和海洋生态系统中的微塑料污染,重点是布里甘加河和孟加拉湾。收集水和鱼样品,用H2O2消化,并用显微镜和微傅立叶变换红外光谱进行视觉检测和MP表征。与海洋环境相比,微塑料在淡水系统及其鱼类中更为普遍(p≤0.05),并且在不同深度观察到差异。鱼类,特别是底栖区的鱼类,显示出大量的多磺酸粘多糖污染,主要以纤维、碎片和泡沫的形式存在。透明MPs在水样中占主导地位,而彩色MPs在鱼类中更为普遍。聚碳酸酯、腈和聚丙烯是在水和鱼样本中发现的主要聚合物。水中MPs与鱼类之间呈显著正相关(r = 0.65, p≤0.05),表明鱼类从其栖息地摄取MPs。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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