徐映如, 张慧敏, 朱圆圆. 高效液相色谱-电感耦合等离子体质谱法同时测定PM2.5中5种形态砷浓度[J]. 环境与职业医学, 2021, 38(7): 781-788. DOI: 10.13213/j.cnki.jeom.2021.21033
引用本文: 徐映如, 张慧敏, 朱圆圆. 高效液相色谱-电感耦合等离子体质谱法同时测定PM2.5中5种形态砷浓度[J]. 环境与职业医学, 2021, 38(7): 781-788. DOI: 10.13213/j.cnki.jeom.2021.21033
XU Yingru, ZHANG Huimin, ZHU Yuanyuan. Simultaneous determination of five arsenic species in PM2.5 by high performance liquid chromatography and inductively coupled plasma mass spectrometry[J]. Journal of Environmental and Occupational Medicine, 2021, 38(7): 781-788. DOI: 10.13213/j.cnki.jeom.2021.21033
Citation: XU Yingru, ZHANG Huimin, ZHU Yuanyuan. Simultaneous determination of five arsenic species in PM2.5 by high performance liquid chromatography and inductively coupled plasma mass spectrometry[J]. Journal of Environmental and Occupational Medicine, 2021, 38(7): 781-788. DOI: 10.13213/j.cnki.jeom.2021.21033

高效液相色谱-电感耦合等离子体质谱法同时测定PM2.5中5种形态砷浓度

Simultaneous determination of five arsenic species in PM2.5 by high performance liquid chromatography and inductively coupled plasma mass spectrometry

  • 摘要: 背景

    慢性吸入性低浓度砷暴露可能产生远期健康效应。砷化物慢性吸入的危害与其形态及浓度有关,需要建立一种高效、灵敏、准确的多种形态砷的浓度检测方法。

    目的

    通过优化色谱条件和提取条件,采用高效液相色谱-电感耦合等离子体质谱(HPLCICP-MS)联用技术建立同时测定PM2.5中砷甜菜碱(AsB)、二甲基胂酸(DMA)、亚砷酸盐A(Ⅲ)、一甲基s胂酸(MMA)和砷酸盐A(Ⅴ)五种形态砷浓度的方法。

    方法

    比较3种提取液(纯水、0.15 mol·L-1硝酸、0.30 mol·L-1硝酸)和4种超声时间(15、30、60、120 min)的提取效率和稳定性,以及加入抗坏血酸的稳定效果,优化提取方法。采用等梯度洗脱,比较2种色谱柱(反相色谱柱和阴离子交换柱)的分离能力以及4种流动相浓度(20、30、40、50 mmol·L-1碳酸铵)和4种pH值(pH=9.3、9.5、9.7、9.9)对出峰时间、峰形和分离度的影响。将所建立的方法用于检测上海市虹口区2019年全年84份PM2.5滤膜样品中5种形态砷的质量浓度(简称浓度)。

    结果

    酸性提取液比纯水更有利于提取稳定性,添加适量硝酸可明显减缓As(Ⅲ)的氧化,添加抗坏血酸可进一步抑制氧化。最佳提取参数为20mL 0.15 mol·L-1硝酸加50mg抗坏血酸,超声提取时间仅需30 min,此参数下As(Ⅲ)形态稳定,As(Ⅴ)峰形改善,检测灵敏度提高。s阴离子交换柱对5种形态砷分析的分离效果好,但分离度和灵敏度受流动相离子浓度和pH值影响,30 mmol·L-1碳酸铵(pH=9.5)为流动相最优条件。5种形态砷在0.50~100 μg·L-1的线性范围内,所得回归方程均呈较好的线性关系,r > 0.999。以标准状况下采样体积为1056m3,定容体积20mL,5种形态砷的方法检出限为0.008~0.017ng·m-3,定量限为0.027~0.058ng·m-3,相对标准偏差在1.68%~6.28%之间,加标回收率在91.4%~107.9%之间。上海市虹口区2019年全年PM2.5样品中的5种形态砷浓度按中位数从高到低依次为As(Ⅴ)、AsB、As(Ⅲ)、DMA、MMA。

    结论

    该方法提取效率高、形态稳定、分离度好、灵敏度高、操作简便快速、定量准确,适用于PM2.5中AsB、DMA、As(Ⅲ)、MMA、As(Ⅴ)5种形态砷的同时测定。

     

    Abstract: Background

    Chronic low-dose inhalation of arsenic may have long-term health effects. The toxicity of chronic inhalation of arsenic compound is related to its speciation and concentration. Therefore, it is necessary to establish an efficient, sensitive, and accurate method for the simultaneous determination of multiple arsenic species.

    Objective

    This methodological study aims to develop a high performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICP-MS) method for the simultaneous determination of five arsenic species including arsenobetaine (AsB), dimethylarsinate (DMA), arseniteAs(Ⅲ), monomethylarsonate (MMA), and arsenateAs(Ⅴ) in PM2.5 after optimizing chromatographic conditions and extraction conditions.

    Methods

    The extraction efficiency and stability of three kinds of extracts (pure water, 0.15 mol·L-1 nitric acid, and 0.30 mol·L-1 nitric acid) and four ultrasonic time durations (15, 30, 60, and 120 min) were compared, as well as the stability with and without ascorbic acid, to optimize the extraction method. By isocratic chromatography, the separation abilities of two chromatographic columns (reversedphase chromatographic column and anion exchange column) were compared, and the effects of four mobile phase concentrations (20, 30, 40, and 50 mmol·L-1 ammonium carbonate) and four pH values (pH=9.3, 9.5, 9.7, and 9.9) on peak time, peak shape, and resolution were compared. The established method was applied to the detection of five arsenic species in 84 PM2.5 filter membrane samples from Hongkou District, Shanghai, throughout the year of 2019.

    Results

    Compared with pure water extract, acidic extract was more conducive to extraction stability. Adding an appropriate amount of nitric acid in the extraction solution significantly slowed down the oxidation of As(Ⅲ), while adding ascorbic acid further inhibited the oxidation. The optimal extraction parameters were adding 20 mL 0.15 mol·L-1 nitric acid and 50 mg ascorbic acid, and performing ultrasonic extraction for only 30 min. Under these parameters, the As(Ⅲ) speciation was stable, the peak shape of As(Ⅴ) and the detection sensitivity were improved. The anion exchange column had a good separation effect on arsenic species, but its resolution and sensitivity were significantly affected by the ion concentration and pH value of mobile phase. The optimal mobile phase condition was 30 mmol·L-1 ammonium carbonate (pH=9.5). The linear ranges for selected five arsenic species were between 0.50-100 μg·L-1, and the regression equations showed good linear relationships, r > 0.999. Under standard conditions, when the sampling volume was 1 056 m3 and the constant volume was 20 mL, the limits of detection of the five arsenic species were 0.008-0.017 ng·m-3, the limits of quantification were 0.027-0.058 ng·m-3, the relative standard deviations were between 1.68%-6.28%, and the recovery rates of standard addition were 91.4%-107.9%. By applying the established method to the determination of the five arsenic species in the samples collected from Hongkou District, Shanghai in 2019, the median concentrations in descending order were As(Ⅴ), AsB, As(Ⅲ), DMA, and MMA.

    Conclusion

    The method established in this paper has a high extraction efficiency, stable sample speciation, good resolution, and high sensitivity, coupled with simple and quick operation and accurate determination. It is suitable for simultaneous determination of five arsenic species including AsB, DMA, As(Ⅲ), MMA, and As(Ⅴ) in PM2.5.

     

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