School of Molecular and Life Sciences, Curtin University, Kent Street, Bentley, Western Australia 6102, Australia.
Western Australian Organic and Isotope Geochemistry Centre, The Institute for Geoscience Research, School of Earth and Planetary Science, Curtin University, GPO BOX U1987, Perth, WA 6845, Australia.
Mar Pollut Bull. 2021 Nov;172:112898. doi: 10.1016/j.marpolbul.2021.112898. Epub 2021 Sep 2.
The release of petroleum hydrocarbons into the environment from natural seeps, well blowouts, pipeline leaks, shipping accidents and deliberate tank washing poses an ongoing threat to marine ecosystems. Distinguishing the source of oil contamination in exposed biota can be relatively straightforward if samples of the oil are available but, in their absence, such discrimination in fish poses a major challenge. The use of physiological and behavioral biomarker analysis provides a useful tool to describe sub-lethal effects of toxicant exposure. In this study we describe the responses of 12 biomarkers in Lates calcarifer (Asian seabass) following a 33-day dietary exposure (1%w/w) to heavy fuel oil (HFO) and to Montara, a typical Australian medium crude oil (MCO). Principal components analysis was used to differentiate between fish exposed to HFO from those exposed to MCO. Inferences can be made about the composition of an oil from the biomarker profiles produced in exposed fish.
石油碳氢化合物从自然渗漏、井喷、管道泄漏、航运事故和蓄意洗罐等途径释放到环境中，对海洋生态系统构成持续威胁。如果有可用的油样，那么区分暴露生物群中油污染的来源相对简单，但如果没有油样，鱼类的这种区分则是一个主要挑战。生理和行为生物标志物分析的应用为描述有毒物质暴露的亚致死效应提供了有用的工具。在这项研究中，我们描述了 12 种生物标志物在亚洲羊头鱼（Lates calcarifer）中的反应，这些鱼在 33 天的饮食暴露（1%w/w）中分别接触了重燃料油（HFO）和蒙提拉（Montara），这是一种典型的澳大利亚中质原油（MCO）。主成分分析用于区分暴露于 HFO 的鱼类和暴露于 MCO 的鱼类。可以根据暴露于油的鱼类产生的生物标志物图谱来推断油的组成。
