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Automated determination of ammonium in natural waters with reverse flow injection analysis based on the indophenol blue method with o-phenylphenol

机译:基于O-苯基苯酚的吲哚蓝方法,自动测定天然水中铵的氨基铵

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摘要

An automated colorimetric method for the determination of ammonium in natural water was established using an integrated reverse flow injection analysis (rFIA) system based on the indophenol blue method with o-phenylphenol, which is a less toxic phenolic compound. The system was operated with laboratory programmed software written in LabVIEW. The experimental parameters for ammonium determination were optimized based on a univariate experimental design. With the optimized conditions, the detection limit of the proposed method was 0.07 mu mol.L-1 and 0.08 mu mol.L-1, and the linearity was up to 50 mu mol.L-1 and 35 mu mol.L-1 for fresh water and seawater, respectively. The relative standard deviations were below 1.3% (n = 8) and the recoveries varied from 89.8 +/- 1.0% to 106.5 +/- 2.9% for spiked natural water samples. The sample throughput was about 30 h(-1). The salinity effect from seawater was carefully investigated. The system has been successfully applied in-field in the Jiulong River for 24 h on-line monitoring of ammonium concentration in surface water, and also used in the laboratory for analysis of ammonium in estuarine and coastal water samples. The analytical results obtained with the proposed method shown good agreement with those using reference methods. All results indicated that the newly developed automated rFIA method for ammonium determination was well suitable for laboratory analysis as well as for on-line monitoring. (C) 2018 Elsevier B.V. All rights reserved.
机译:使用基于邻苯基苯酚的靛蓝酚蓝方法的集成逆流量注射分析(RFIA)系统建立了用于测定天然水中铵的自动比色法。该系统使用在LabVIEW中编写的实验室编程软件进行操作。基于单变量实验设计优化了铵测定的实验参数。通过优化的条件,所提出的方法的检出限为0.07μmol.L-1和0.08μmol.L-1,并且线性度高达50μmL-1和35μmol.L-1对于淡水和海水。相对标准偏差低于1.3%(n = 8),回收率从89.8 +/- 1.0%变化至106.5 +/- 2.9%,用于尖刺的天然水样。样品通量约为30小时(-1)。仔细研究了海水的盐度效果。该系统已成功应用于九龙河的现场,占地表水中铵浓度的24小时内,也用于分析河口和沿海水样中的铵。通过该方法获得的分析结果与使用参考方法的人达成了良好的一致性。所有结果表明,新开发的铵测定的自动rfia方法很好,适用于实验室分析以及在线监测。 (c)2018 Elsevier B.v.保留所有权利。

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