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优化从叶状地衣生物监测器中提取无机砷形态。

Optimized extraction of inorganic arsenic species from a foliose lichen biomonitor.

机构信息

Department of Chemistry, Faculty of Natural and Agricultural Sciences, University of Pretoria, Lynnwood Road, Pretoria, 0002, South Africa.

Spectrum Central Analytical Facility, Faculty of Science, University of Johannesburg, Kingsway Road, Johannesburg, 2006, South Africa.

出版信息

Environ Sci Pollut Res Int. 2019 Oct;26(29):29896-29907. doi: 10.1007/s11356-019-06073-2. Epub 2019 Aug 13.

DOI:10.1007/s11356-019-06073-2
PMID:31407267
Abstract

To assess the two most toxicologically relevant species of As, namely arsenite (As(III)) and arsenate (As(V)), chromatographic separations often require two separate chromatographic columns to address the co-elution of arsenobetaine (AsB) with As(III). This issue is typically observed using conventional isocratic methods on anion exchange columns, increasing cost and analysis time. Here, we optimize the extraction of inorganic As from a lichen air biomonitor and develop an isocratic method for the chromatographic separation of five common As species on a PRP X-100 anion exchange column, resulting in the complete baseline separation of all species under study. This method was then applied to lichen biomonitors from an urban and rural site to demonstrate its use. In order of abundance, the various arsenic species in lichens from the urban site in South Africa were As(V) > As(III) > AsB > dimethylarsinic acid (DMA) > monomethylarsonic acid (MMA), and As(V) > AsB > As(III) > DMA > MMA for the rural site, where MMA was present in extremely low, non-quantifiable concentrations in lichens from both sites. Total concentrations of As were higher in samples from the urban site (6.43 ± 0.25 μg/g) than in those from the rural site (1.87 ± 0.05 μg/g), with an overall extraction efficiency of 19% and 40%, respectively. The optimized method utilized relatively inexpensive solvents and is therefore low-cost and eco-friendly in comparison with conventional chromatographic techniques. This is the first study which addresses the optimized extraction and characterization of As species in a South African lichen biomonitor of air pollution. Graphical abstract .

摘要

为了评估两种最具毒理学相关性的砷物种,即亚砷酸盐(As(III))和砷酸盐(As(V)),色谱分离通常需要两个单独的色谱柱来解决砷甜菜碱(AsB)与 As(III)的共洗脱问题。在阴离子交换柱上使用常规等度方法时,通常会观察到这个问题,这会增加成本和分析时间。在这里,我们优化了从地衣空气生物监测器中提取无机砷的方法,并开发了一种等度方法,用于在 PRP X-100 阴离子交换柱上对五种常见砷物种进行色谱分离,从而实现了所有研究物种的完全基线分离。然后将该方法应用于城市和农村地区的地衣生物监测器,以证明其用途。在所研究的地衣中,南非城市地区各种砷物种的丰度顺序为 As(V) > As(III) > AsB > 二甲基砷酸(DMA)> 一甲基砷酸(MMA),而农村地区的丰度顺序为 As(V) > AsB > As(III) > DMA > MMA,而在两个地点的地衣中,MMA 的含量极低,无法定量。城市地区样品中的总砷浓度(6.43 ± 0.25 μg/g)高于农村地区样品(1.87 ± 0.05 μg/g),总提取效率分别为 19%和 40%。优化后的方法使用相对廉价的溶剂,因此与传统的色谱技术相比,成本低廉且环保。这是第一项解决南非空气污染地衣生物监测器中砷物种的优化提取和特征描述的研究。

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