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用于海洋沉积物中微塑料定量的 Plackett Burman 设计。

Plackett Burman design for microplastics quantification in marine sediments.

机构信息

Instituto Español de Oceanografía (IEO), Centro Oceanográfico de Vigo, Subida a Radio Faro, 50-52, 36390 Vigo, Spain.

Instituto Español de Oceanografía (IEO), Centro Oceanográfico de Vigo, Subida a Radio Faro, 50-52, 36390 Vigo, Spain.

出版信息

Mar Pollut Bull. 2021 Jan;162:111841. doi: 10.1016/j.marpolbul.2020.111841. Epub 2020 Nov 16.

Abstract

Microplastics are gaining worldwide attention due to their omnipresence. The marine environment is one of the most affected systems; especially the sediment compartment. Microplastic separation from the sediment matrix is the first step to evaluate its abundance and availability. Nevertheless, a lack of consistency in extraction protocols is a fact. This paper describes the optimization of the microplastic extraction procedure from marine sediments. The Plackett-Burman saturated factorial design was used to identify the significant factors and to select optimum working conditions. With this purpose, the following variables were studied: the number of extractions; the amount of sediment; the settling time; the density separation solution volume; the agitation time and the suitability of using wet or freeze-dried sediment. The Plackett-Burman design has revealed that the most statistically significant variables were sediment mass and agitation time. The optimized method was applied for two marine sediments collected in the Mar Menor Lagoon.

摘要

微塑料因其无处不在而引起了全球关注。海洋环境是受影响最严重的系统之一;特别是沉积物部分。从沉积物基质中分离微塑料是评估其丰度和可用性的第一步。然而,提取方案缺乏一致性是事实。本文描述了从海洋沉积物中提取微塑料的方法的优化。采用 Plackett-Burman 饱和因子设计来确定显著因素并选择最佳工作条件。为此,研究了以下变量:提取次数;沉积物量;沉降时间;密度分离溶液体积;搅拌时间以及使用湿或冻干沉积物的适宜性。Plackett-Burman 设计表明,最具统计学意义的变量是沉积物质量和搅拌时间。优化后的方法应用于在 Mar Menor 泻湖采集的两种海洋沉积物。

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