首页|高效液相-电感耦合等离子体质谱法检测松花江水中6种形态砷的优化研究

高效液相-电感耦合等离子体质谱法检测松花江水中6种形态砷的优化研究

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砷以其高毒性成为水环境监测中的重要监测对象,而对砷形态的研究亦不容忽视.针对松花江水体中的6种形态砷,优化了高效液相-电感耦合等离子体质谱法(HPLC-ICP-MS),确立了一种快速、准确的检测技术路线.研究结果表明:选择磷酸二氢铵作为流动相可以实现对6种形态砷的有效分离,且随着流动相浓度的增大,分离时间减少;pH为6~8时,分离效果最佳.亚砷酸盐[As(Ⅲ)]、砷酸盐[As(Ⅴ)]、砷甜菜碱(AsB)、一甲基砷(MMA)、二甲基砷(DMA)、砷胆碱(AsC)的检出限分别为0.113、0.194、0.167、0.225、0.273、0.146 μg/L.针对实际水样,开展了回收率测试与方法验证,以确保分析过程的精确度和再现性.优化后的方法可将6种形态砷在25 min内有效分离并检出,检出限低至ng水平,满足国家生态环境标准要求.通过对HPLC-ICP-MS进行系统优化,使得该方法可以在砷环境监测和风险评估方面发挥关键作用,同时也拓展了将该方法应用于现场快速检测的可能.
Optimization Study of Liquid Chromatography-Inductively Coupled Plasma Mass Spectrometry for the Detection of Six Arsenic Species in the Songhua River
Hexavalent arsenic forms have become a focus of monitoring due to their high toxicity,while research on other arsenic forms is also indispensable.In this study,the high-performance liquid chromatography-inductively coupled plasma mass spectrometry(HPLC-ICP-MS)was optimized for the detection of six arsenic species in the Songhua River,a rapid and accurate detection technique was established.The results showed that selecting ammonium dihydrogen phosphate as the mobile phase enabled the separation of the six arsenic species,and the separation time decreased with the increase of mobile phase concentration.The optimal pH for separation was found when the pH was between 6 and 8.The detection limits for As(Ⅲ),As(Ⅴ),AsB,MMA,DMA,and AsC were determined to be 0.113 μg/L,O.194 pg/L,0.167 μg/L,0.225 pg/L,O.273 pg/L,and 0.146 μg/L,respectively.Recovery tests and method validation were conducted on actual water samples to ensure the accuracy and reproducibility of the analysis process.The optimized method allowed for the effective separation and detection of the six arsenic species within 25 minutes,with detection limits lowered to the nanogram level,meeting national environmental standards.Through systematic optimization of the detection method,HPLC-ICP-MS technology can play a crucial role in arsenic environmental monitoring and risk assessment,while also expanding the possibility of applying this method to on-site rapid detection.

the Songhua Riverarsenic formmethod optimizationenvironmental monitoring

蒋智伟、陈芳、冯程程、王鹏杰、赵雨峰、刘婧祎、孟庆庆

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黑龙江省生态环境监测中心,黑龙江哈尔滨 150056

东北农业大学资源与环境学院,黑龙江哈尔滨 150030

黑龙江省环境科学研究院,黑龙江哈尔滨 150056

松花江 砷形态 方法优化 环境监测

2024

中国环境监测
中国环境监测总站

中国环境监测

CSTPCD北大核心
影响因子:1.761
ISSN:1002-6002
年,卷(期):2024.40(z1)