Determination of per- and polyfluoroalkyl substances (PFAS) in six different fish species from Swiss lakes.

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Analytical and Bioanalytical Chemistry Pub Date : 2024-11-01 Epub Date: 2024-10-01 DOI:10.1007/s00216-024-05524-1
Mylène Soudani, Lucie Hegg, Camille Rime, Camille Coquoz, Denise Bussien Grosjean, Francesco Danza, Nicola Solcà, Fiorella Lucarini, Davide Staedler
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引用次数: 0

Abstract

Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants with bioaccumulation potential, particularly affecting aquatic ecosystems and human health also via fish consumption. There is therefore a need for reliable extraction methods and studies to accurately assess PFAS levels in fish, crucial for understanding bioaccumulation and potential toxicological effects on both fish and humans through consumption. This study investigated PFAS levels in freshwater fish from Swiss lakes, focusing on six common species: Coregonus wartmanni, Cyprinus carpio, Oncorhynchus mykiss, Perca fluviatilis, Salmo trutta, and Squalius cephalus. Utilizing an optimized QuEChERS extraction method, 15 PFAS were analyzed in 218 fish fillet samples using liquid chromatography-mass spectrometry (LC-MS/MS). The results were compared to EU regulations and EFSA guidelines for tolerable weekly intake (TWI), with a specific focus on correlations between fish size and PFAS concentration. Our findings reveal significant PFAS contamination, particularly in Perca fluviatilis with perfluorooctane sulfonic acid (PFOS) and perfluorohexane sulfonic acid (PFHxS) levels often exceeding EU safety limits. TWI, calculated for a person of 70 kg body weight and an intake of 200 g of fish fillet, is exceeded in 95% of Coregonus wartmanni, 100% of Squalius cephalus, and in 55%, 50%, and 36% of the specimens Oncorhynchus mykiss, Salmo trutta, and Perca fluviatilis respectively. Correlation analysis between PFAS concentration and fish size in 121 Salmo trutta specimens revealed significant positive correlations for perfluorobutane sulfonic acid (PFBS), perfluorodecanoic acid (PFDA), and perfluorohexane sulfonic acid (PFHxS), and a negative correlation for perfluoropentanoic acid (PFPeA). These results underscore the critical need for continuous monitoring and regulatory efforts to mitigate PFAS exposure risks to both ecosystems and human health.

测定瑞士湖泊中六种不同鱼类体内的全氟和多氟烷基物质 (PFAS)。
全氟烷基和多氟烷基物质(PFAS)是具有生物累积潜力的持久性环境污染物,尤其会通过食用鱼类影响水生生态系统和人类健康。因此,需要可靠的萃取方法和研究来准确评估鱼类体内的 PFAS 含量,这对于了解生物蓄积性以及食用 PFAS 对鱼类和人类的潜在毒理影响至关重要。本研究调查了瑞士湖泊淡水鱼中的全氟辛烷磺酸含量,重点关注六种常见鱼类:Coregonus wartmanni、Cyprinus carpio、Oncorhynchus mykiss、Perca fluviatilis、Salmo trutta 和 Squalius cephalus。利用优化的 QuEChERS 提取方法,采用液相色谱-质谱法 (LC-MS/MS) 分析了 218 份鱼片样品中的 15 种 PFAS。分析结果与欧盟法规和欧洲食品安全局(EFSA)每周可容忍摄入量(TWI)指南进行了比较,并特别关注了鱼的大小与 PFAS 浓度之间的相关性。我们的研究结果表明,全氟辛烷磺酸(PFOS)和全氟己烷磺酸(PFHxS)污染严重,尤其是在鲈鱼中,其含量往往超过欧盟安全限值。以体重 70 千克的人摄入 200 克鱼片计算,95% 的 Coregonus wartmanni、100% 的 Squalius cephalus 以及 55%、50% 和 36% 的 Oncorhynchus mykiss、Salmo trutta 和 Perca fluviatilis 标本的 TWI 超标。对 121 个鲑鱼标本中 PFAS 浓度和鱼体大小的相关性分析表明,全氟丁烷磺酸 (PFBS)、全氟癸酸 (PFDA) 和全氟己烷磺酸 (PFHxS) 与鱼体大小呈显著正相关,而全氟戊酸 (PFPeA) 与鱼体大小呈负相关。这些结果突出表明,亟需开展持续监测和监管工作,以降低接触全氟辛烷磺酸对生态系统和人类健康造成的风险。
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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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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