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使用电泳微芯片结合非接触式电导检测监测环境样品中的亚硝酸盐、硝酸盐、氯化物和硫酸盐。

Monitoring of nitrite, nitrate, chloride and sulfate in environmental samples using electrophoresis microchips coupled with contactless conductivity detection.

机构信息

Instituto de Química, Universidade Federal de Goiás, Campus Samambaia, 74690-900 Goiânia, GO, Brazil.

Instituto de Química, Universidade Federal de Goiás, Campus Samambaia, 74690-900 Goiânia, GO, Brazil.

出版信息

Talanta. 2016 Jan 15;147:335-41. doi: 10.1016/j.talanta.2015.09.075. Epub 2015 Oct 3.

Abstract

This report describes the development of an analytical methodology on microchip electrophoresis (ME) devices coupled with capacitively coupled contactless conductivity detection (C(4)D) to monitor inorganic anions in environmental samples. The buffer composition as well as detection operating parameters were optimized to achieve the best separation selectivity and detector sensitivity, respectively. Electrophoretic separations of Cl(-), NO3(-), SO4(2-) and NO2(-) were successfully performed within 60s using a running buffer composed of 30mmol L(-1) latic acid and 15mmol L(-1)l-histidine (His). The best detectability levels were found applying a sinusoidal wave with 1100-kHz-frequency and 60-Vpp amplitude. Quantitative analyzes of inorganic anions were carried out in the presence of Cr2O7(2-) ion as internal standard (IS), which ensured great repeatability in terms of migration times (<1%) and peak areas (6.2-7.6%) for thirty consecutive injections. The analytical performance revealed a linear behavior for concentration ranges between 0-120μmol L(-1) (Cl(-), NO2(-) and NO3(-)) and 0-60μmol L(-1) (SO4(2-)) and limits of detection (LODs) varying from 2.0 to 4.9μmol L(-1). The concentration levels of anionic species were determined in aquarium, river and biofertilizer samples with recovery values between 91% and 105%. The nitrification steps associated with conversion of ammonium to nitrite followed by the conversion of nitrite to nitrate were successfully monitored in a simulated environment without fishes during a period of twelve weeks. Lastly, the monitoring of anionic species was carried out during eight weeks in an aquarium environment containing ten fishes from Danio rerio (Ciprynidae). The recorded data revealed the absence of nitrite and a gradual increase on the ammonium and nitrate concentration levels during eight weeks, thus suggesting the direct conversion of ammonium to nitrate. Based on the data herein reported, the proposed analytical methodology can be used for routine environmental analysis.

摘要

本报告描述了在微芯片电泳(ME)设备上开发的分析方法,该方法与电容耦合非接触式电导检测(C(4)D)相结合,用于监测环境样品中的无机阴离子。优化了缓冲液组成和检测操作参数,分别实现了最佳的分离选择性和检测器灵敏度。使用由 30mmol L(-1) 乳酸和 15mmol L(-1) l-组氨酸(His)组成的运行缓冲液,成功在 60s 内实现了 Cl(-)、NO3(-)、SO4(2-) 和 NO2(-) 的电泳分离。发现应用频率为 1100kHz、幅度为 60Vpp 的正弦波可获得最佳的检测灵敏度。在 Cr2O7(2-) 离子作为内标(IS)的存在下进行了无机阴离子的定量分析,这确保了迁移时间(<1%)和峰面积(6.2-7.6%)在连续 30 次进样中的良好重复性。分析性能表明,Cl(-)、NO2(-) 和 NO3(-)浓度范围在 0-120μmol L(-1) 之间,SO4(2-) 浓度范围在 0-60μmol L(-1) 之间具有线性行为,检出限(LOD)在 2.0 至 4.9μmol L(-1) 之间变化。在水族馆、河流和生物肥料样品中测定了阴离子的浓度水平,回收率在 91%至 105%之间。在没有鱼类的模拟环境中成功监测了与氨氮转化为亚硝酸盐以及亚硝酸盐转化为硝酸盐相关的硝化步骤,持续了十二周。最后,在包含 10 条斑马鱼(Ciprynidae)的水族馆环境中进行了为期八周的阴离子监测。记录的数据表明亚硝酸盐不存在,并且在八周期间铵和硝酸盐浓度水平逐渐增加,因此表明铵直接转化为硝酸盐。基于本文报道的数据,该分析方法可用于常规环境分析。

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