Suppr超能文献

[采用同位素稀释气相色谱-三重四极杆质谱法测定环境空气中的多氯萘]

[Determination of polychlorinated naphthalenes in ambient air by isotope dilution gas chromatography-triple quadrupole mass spectrometry].

作者信息

Liu Hongyuan, Jin Jing, Guo Cuicui, Chen Jiping, Hu Chun

机构信息

Shenyang Pharmaceutical University, Shenyang 110000, China.

CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.

出版信息

Se Pu. 2022 Jul;40(7):644-652. doi: 10.3724/SP.J.1123.2021.12006.

Abstract

Polychlorinated naphthalenes (PCNs) have a structure similar to that of polychlorinated biphenyls (PCBs) and represent a new type of persistent organic pollutants (POPs) that are widely present in the environment and biological communities. PCNs can migrate and transform via different environmental media, which severely affects the health of humans and organisms. Researchers have devoted considerable focus on ambient air pollution. Although the current ambient air quality has not yet limited the concentration of PCNs, the Stockholm Convention has required parties to prohibit and eliminate their production and use. As one of the contracting parties, China is obligated to improve its environmental monitoring. In other words, the development of a method for monitoring PCNs in ambient air is important for understanding ambient air quality and safeguarding human health. PCNs are generally present at trace levels (pg/m) in ambient air. To achieve accurate quantification of PCNs, high demands are raised on the methods for extraction, purification, and instrumental analysis, which can directly affect the efficiency, accuracy, and sensitivity of a method. Considering the trace-level presence of PCNs in ambient air and the high efficiency and accuracy of the analytical method, accelerated solvent extraction (ASE), combined with column chromatography using a multilayer silica gel column and a neutral alumina column, was established for the extraction and purification of PCNs in ambient air. The important parameters involved in the aforementioned steps, such as the type of extraction and volume of elution solvent, were optimized. The results indicated that dichloromethane-hexane (1∶1, v/v) was the best extraction solvent for the recovery of PCNs. Hexane and dichloromethane-hexane (5∶95, v/v) were used as the elution solvents for the multi-silica gel column and neutral alumina column, respectively. Isotope dilution gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS) was used to quantify the target compounds. Gas chromatographic parameters, such as temperature program conditions and inlet temperature, were also optimized. The oven temperature program was as follows: 80 ℃ for 1 min, 80 ℃ to 160 ℃ at 15 ℃/min, 160 ℃ to 265 ℃ at 3 ℃/min, and 265 ℃ to 280 ℃ at 5 ℃/min, followed by holding the temperature at 280 ℃ for 10 min. The inlet temperature was set at 260 ℃. The optimal characteristics of ion pair, collision energy, and ion source temperature were determined by optimizing the key mass spectrometry parameters. The developed instrumental method, combined with suitable sample preparation techniques, was used to determine the concentrations of PCNs in ambient air samples. Quality control (QC) and quality assurance (QA) were performed by adding isotope internal standards before sampling, extraction, and injection analysis to monitor the entire analysis process. The relative standard deviations (RSDs) of the relative response factors (RRFs) for trichloronaphthalene to octachloronaphthalene were less than 16% in the concentration range of 2-100 ng/mL. The method detection limits (MDLs) for PCN homologues were in the range of 1-3 pg/m(calculated using a sample volume of 288 m). The precision and accuracy of this method for determining PCNs in ambient air samples were evaluated using a spiked matrix. The average spiked recoveries of trichloronaphthalene to octachloronaphthalene were 89.0%-119.4%, 98.6%-122.5% and 93.7%-124.5% at low, medium, and high spiked concentrations (20, 50, and 90 ng/mL), respectively. The RSDs of the assay results were 1.9%-7.0%, 1.6%-6.6%, and 1.0%-4.8%, respectively. During the entire analysis process, the average recoveries of the sampling and extracted internal standards were 136.2%-146.0% and 42.4%-78.1%, respectively, and the corresponding RSDs were 5.6%-7.5% and 2.7%-17.5%. Thus, this method meets the requirements of trace analysis and exhibits good parallelism, high sensitivity, high accuracy, and good precision, and it is suitable for the accurate quantitative determination of trichloronaphthalene to octachloronaphthalene in ambient air.

摘要

多氯萘(PCNs)具有与多氯联苯(PCBs)相似的结构,是一种新型持久性有机污染物(POPs),广泛存在于环境和生物群落中。PCNs可通过不同环境介质迁移和转化,严重影响人类和生物健康。研究人员对环境空气污染给予了相当大的关注。尽管目前环境空气质量尚未对PCNs浓度加以限制,但《斯德哥尔摩公约》要求各缔约方禁止并消除其生产和使用。作为缔约方之一,中国有义务加强环境监测。换言之,开发一种监测环境空气中PCNs的方法对于了解环境空气质量和保障人类健康至关重要。PCNs在环境空气中通常以痕量水平(pg/m)存在。为实现PCNs的准确定量,对萃取、净化及仪器分析方法提出了很高要求,这些直接影响方法的效率、准确性和灵敏度。考虑到环境空气中PCNs的痕量存在以及分析方法的高效性和准确性,建立了加速溶剂萃取(ASE)结合多层硅胶柱和中性氧化铝柱柱色谱法用于环境空气中PCNs的萃取和净化。对上述步骤中涉及的重要参数,如萃取类型和洗脱溶剂体积等进行了优化。结果表明,二氯甲烷 - 己烷(1∶1,v/v)是回收PCNs的最佳萃取溶剂。己烷和二氯甲烷 - 己烷(5∶95,v/v)分别用作多层硅胶柱和中性氧化铝柱的洗脱溶剂。采用同位素稀释气相色谱 - 三重四极杆质谱联用(GC - MS/MS)对目标化合物进行定量。还对气相色谱参数,如程序升温条件和进样口温度等进行了优化。柱温程序如下:80℃保持1分钟,以15℃/分钟从80℃升至160℃,以3℃/分钟从160℃升至265℃,以5℃/分钟从265℃升至280℃,然后在280℃保持10分钟。进样口温度设定为260℃。通过优化关键质谱参数确定了最佳离子对、碰撞能量和离子源温度。所开发的仪器方法结合合适样品制备技术用于测定环境空气样品中PCNs的浓度。通过在采样、萃取和进样分析前添加同位素内标进行质量控制(QC)和质量保证(QA),以监测整个分析过程。在浓度范围为2 - 100 ng/mL时,三氯萘至八氯萘的相对响应因子(RRFs)的相对标准偏差(RSDs)小于16%。PCN同系物的方法检出限(MDLs)在1 - 3 pg/m范围内(使用288 m的样品体积计算)。采用加标基质评估该方法测定环境空气样品中PCNs的精密度和准确度。在低、中、高加标浓度(20、50和90 ng/mL)下,三氯萘至八氯萘的平均加标回收率分别为89.0% - 119.4%、98.6% - 122.5%和93.7% - 124.5%。测定结果的RSDs分别为1.9% - 7.0%、1.6% - 6.6%和1.0% - 4.8%。在整个分析过程中,采样内标和萃取内标的平均回收率分别为136.2% - 146. 和42.4% - 78.1%,相应的RSDs分别为5.6% - 和2.7% - 17.5%。因此,该方法满足痕量分析要求,具有良好的平行性、高灵敏度、高准确度和精密度,适用于环境空气中三氯萘至八氯萘的准确定量测定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71bd/9404119/456893124a02/cjc-40-07-644-img_1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验