Abundance and Characteristics of Fibrous Microplastics and Microfibers Isolated in Mullus barbatus from the Adriatic Sea—Preliminary Investigation

Serena Santonicola, Michela Volgare, M. Cocca, G. Colavita
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Abstract

Despite the wide distribution of textile microfibers in the marine environment, there is still limited knowledge on microfiber ingestion in fish species intended for human consumption, mostly due to analytical issues. The present study aims to assess the occurrence of microfibers in red mullet (Mullus barbatus) samples collected from the Italian waters of the central Adriatic Sea. M. barbatus is a bottom fish that lives in contact with sediment and therefore was proposed as a sentinel species for the monitoring plastic pollution. A visual approach based on the evaluation of specific microfiber surface morphology was applied for the identification of particles of different origins. The preliminary findings showed the presence of microfibers in 80% of red mullet samples with a mean of 5.95 microfibers/individual. The majority (>80%) of the isolated microfibers were of natural/artificial origin, while the dominant colors were blue and black. The obtained results confirmed that benthic fish species are susceptible to microfiber ingestion and indicate the high availability of these particles in the Adriatic basin. Considering the spectroscopic drawbacks in microfiber analyses and the need to improve the current knowledge on the rate of contamination of fishery products, the visual approach could be a feasible, easy, and accessible method in the study of microfiber pollution, and the assessment of consumer health risks.
亚得里亚海鲻鱼中分离出的纤维状微塑料和微纤维的丰度和特征--初步调查
尽管纺织微纤维在海洋环境中分布广泛,但人们对供人类食用的鱼类摄入微纤维的了解仍然有限,这主要是由于分析问题造成的。本研究旨在评估从亚得里亚海中部意大利水域采集的红鲻(Mullus barbatus)样本中出现的超细纤维。鲻鱼是一种与沉积物接触的底层鱼类,因此被建议作为监测塑料污染的哨兵物种。采用了一种基于特定微纤维表面形态评估的视觉方法来识别不同来源的颗粒。初步研究结果表明,80% 的鲻鱼样本中含有微纤维,平均每条样本含有 5.95 微纤维。大部分(大于 80%)分离出的微纤维来自天然/人工来源,主要颜色为蓝色和黑色。研究结果证实,底栖鱼类很容易摄入超细纤维,并表明亚得里亚海盆地存在大量此类微粒。考虑到超细纤维分析中的光谱学缺陷,以及需要改善目前对渔业产品污染率的了解,在研究超细纤维污染和评估消费者健康风险时,视觉方法可能是一种可行、简便和容易获得的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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