Application of pattern deconvolution strategies for the estimation of bromochloro alkane concentrations in indoor dust samples

IF 8.1 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Chemosphere Pub Date : 2024-10-01 DOI:10.1016/j.chemosphere.2024.143370
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Abstract

Bromochloro alkanes (BCAs) are a class of flame retardants similar in structure to polychlorinated alkanes (PCAs), which are the major component of short-chain chlorinated paraffins (SCCPs) listed as Persistent Organic Pollutants under the Stockholm Convention. BCAs have recently been detected for the first time in environmental samples. Due to the complete lack of commercially available analytical standards, no method for quantifying BCAs has been reported to date. In this study, 16 custom-synthesised standards with mixed bromine and chlorine halogenation and carbon chain lengths ranging from C10 to C17 were characterized by liquid chromatography and Orbitrap high-resolution mass spectrometry and used to assess the applicability of pattern deconvolution quantification strategies for BCAs in indoor dust. Br1-9 and Cl1-8 BCAs were detected as [M + Cl] adduct ions among the C10 to C17 standards, as well as numerous PCA homologues. After applying correction factors to account for the presence of PCAs in the standards, triplicate fortification experiments using varied halogenation composition and concentration determined an average measurement accuracy of 81% over the carbon chain lengths studied and coefficient of variance ≤20% between replicates. Overall, approximately 89% of the ΣBCA concentrations quantified in the fortification trials met the European Union Reference Laboratory's accuracy acceptability criteria recommended for PCAs, between 50 and 150%. Application of the BCA pattern deconvolution quantification procedure to seven representative indoor dust samples from the United States of America revealed a low correlation between the homologue distribution in the samples and the prototype standards (R2 ≤ 0.40), which precluded reliable quantification. This study indicates that pattern deconvolution is an appropriate strategy for quantifying BCAs in environmental samples, but that a large set of appropriate mixture standards will be required before more reliable estimates of BCA concentrations can be achieved in indoor dust.

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应用模式解卷积策略估算室内灰尘样本中的溴氯烷烃浓度。
溴氯烷烃(BCA)是一类结构与多氯烷烃(PCA)相似的阻燃剂,后者是被列为《斯德哥尔摩公约》持久性有机污染物的短链氯化石蜡(SCCPs)的主要成分。最近,在环境样本中首次检测到了 BCA。由于完全缺乏商业化的分析标准,迄今为止还没有关于定量 BCAs 方法的报道。在本研究中,采用液相色谱法和 Orbitrap 高分辨率质谱法对 16 种定制合成的标准物质进行了表征,这些标准物质具有溴和氯的混合卤化,碳链长度从 C10 到 C17 不等,并用于评估模式解卷积定量策略对室内灰尘中 BCAs 的适用性。在 C10 至 C17 标准物质中,以[M + Cl]-加成离子形式检测到了 Br1-9 和 Cl1-8 BCAs,以及大量的五氯苯甲醚同系物。在应用校正因子对标准品中存在的五氯苯甲醚进行校正后,使用不同的卤化成分和浓度进行的三重强化实验确定,在所研究的碳链长度范围内,平均测量精度为 81%,重复间的方差系数小于 20%。总体而言,在强化试验中量化的 ΣBCA 浓度中,约 89% 符合欧盟参考实验室推荐的 PCA 精确度接受标准(介于 50% 和 150% 之间)。将 BCA 模式解卷积定量程序应用于来自美国的七种代表性室内灰尘样本时发现,样本中的同系物分布与原型标准之间的相关性较低(R2 ≤ 0.40),因此无法进行可靠的定量。这项研究表明,模式解卷积是量化环境样本中 BCA 的一种适当策略,但在对室内灰尘中的 BCA 浓度进行更可靠的估计之前,还需要大量适当的混合物标准。
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来源期刊
Chemosphere
Chemosphere 环境科学-环境科学
CiteScore
15.80
自引率
8.00%
发文量
4975
审稿时长
3.4 months
期刊介绍: Chemosphere, being an international multidisciplinary journal, is dedicated to publishing original communications and review articles on chemicals in the environment. The scope covers a wide range of topics, including the identification, quantification, behavior, fate, toxicology, treatment, and remediation of chemicals in the bio-, hydro-, litho-, and atmosphere, ensuring the broad dissemination of research in this field.
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