Analytical Chemistry of Contaminants Research Group, Department of Chemistry and Physics, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almeria, Agrifood Campus of International Excellence, ceiA3, E-04120 Almeria, Spain.
Analytical Chemistry of Contaminants Research Group, Department of Chemistry and Physics, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almeria, Agrifood Campus of International Excellence, ceiA3, E-04120 Almeria, Spain.
J Chromatogr A. 2020 May 24;1619:460964. doi: 10.1016/j.chroma.2020.460964. Epub 2020 Feb 21.
As a novelty, the combination of headspace solid phase microextraction and gas chromatography coupled to an Orbitrap mass analyzer in full scan mode (HS-SPME-GC-Orbitrap-MS) was evaluated for the monitoring of organic pollutants in wastewaters. The developed methodology showed good linearity (R > 0.999), sensitivity as well as suitable relative recoveries (89-115%) and precision values (RSD = 1-16%) for 15 polycyclic aromatic hydrocarbons (PAHs) selected as target compounds. Naphthalene, acenapthene and phenanthrene were found in the analyzed samples (influent and effluent wastewaters). Naphthalene was present in 62% of them, ranging from 1.33 to 24.32 ng L. Acenapthene was observed in 1 single sample (4.17 ng L) while phenanthrene was found in 7 samples (1.51-8.67 ng L). In addition, in order to identify other pollutants in the samples, retrospective analyses were addressed through target and non-target screenings. An in-house database containing close to 1,000 pollutants including, among others, polychlorinated biphenyls (PCBs), brominated diphenyl ethers (BDEs) and pesticides, was applied in the post-target analysis. For the non-target screening, after a deconvolution process, high resolution filtering (HRF) and Kovats retention index (KI) were used for tentative analyte identification. Thus, 51 additional pollutants were tentatively identified in the wastewaters, most of them used as flavoring agents and household product ingredients, highlighting the presence of linear alkyl benzenes (LABs).
作为一种新颖性,评估了顶空固相微萃取与气相色谱-轨道阱质谱联用(HS-SPME-GC-Orbitrap-MS)在监测废水中有机污染物中的组合应用。所开发的方法对于 15 种被选为目标化合物的多环芳烃(PAHs)表现出良好的线性(R>0.999)、灵敏度以及合适的相对回收率(89-115%)和精密度(RSD=1-16%)。在所分析的样品(进水和出水废水)中发现了萘、苊和菲。萘的存在率为 62%,范围为 1.33-24.32ngL。仅在 1 个样品中观察到苊(4.17ngL),而在 7 个样品中发现了菲(1.51-8.67ngL)。此外,为了识别样品中的其他污染物,通过目标和非目标筛选进行了回溯分析。应用了一个包含近 1000 种污染物的内部数据库,包括多氯联苯(PCBs)、溴化二苯醚(BDEs)和农药等,用于目标后分析。对于非目标筛选,在反卷积过程之后,使用高分辨率过滤(HRF)和科瓦茨保留指数(KI)进行暂定分析物识别。因此,在废水中暂定鉴定了 51 种其他污染物,其中大部分用作调味剂和家用产品成分,突出了线性烷基苯(LABs)的存在。