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Measurements of cadmium in soil extracts using multi-variate data analysis and electrochemical sensors

机译:使用多元数据分析和电化学传感器测量土壤提取物中的镉

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There is a growing awareness of potential health risks due to exposure to heavy metals. One source of uptake is via agriculture, when heavy metals in the soil are taken up by the crop. The metal cadmium holds a special position, since it is considered to be a health risk, even at the low concentrations observed in our food supply, furthermore, it is ranked as eight on the top 20 hazardous substances list. Two measurement systems are described based on stripping voltammetry for analysis of cadmium. One is based on a three metal direct probe system (TMDPS) with three working electrodes (platinum, gold and rhodium), combined with a polishing unit, the other is an automatic flow through system, using one working electrode of gold, also equipped with a polishing unit. A number of different soils were extracted with an ammonium-lactate solution and analyzed with the systems, and the data obtained were subjected to multi-variate data analysis (MVDA). Using modeling based on partial least square (PLS), concentrations of cadmium in the soil extracts could be predicted for the TMDPS in the concentration area 0.5-10 og/l with a root mean square error of prediction (RMSEP) of 0.8 og/l and a relative predicted deviation (RPV) of 2.0. One sample could be analyzed in 4 min. It was also shown that by using different PLS models, the concentration of the elements copper, aluminum, lead and iron could be predicted. The possibilities of using the technique for field use were also evaluated by studies of mixtures of different soils in 0.1 M HNO solution, the time for an analysis was, however, rather large, around 20 min.
机译:人们越来越意识到由于接触重金属而可能造成的健康风险。吸收的一种来源是通过农业吸收土壤中的重金属。金属镉具有特殊的地位,因为即使在我们的食品供应中观察到低浓度的镉,也被认为具有健康风险,而且在前20种有害物质清单中排名第8。基于溶出伏安法描述了两种用于分析镉的测量系统。一种是基于具有三个工作电极(铂,金和铑)的三金属直接探针系统(TMDPS),结合了抛光单元,另一种是自动流过系统,使用一个金工作电极,还配有抛光单元。用乳酸铵溶液萃取了许多不同的土壤,并用系统进行了分析,并对获得的数据进行了多变量数据分析(MVDA)。使用基于偏最小二乘(PLS)的模型,可以预测0.5-10 og / l浓度区域中TMDPS的土壤提取物中镉的浓度,预测的均方根误差(RMSEP)为0.8 og / l相对预测偏差(RPV)为2.0。可以在4分钟内分析一个样品。还表明,通过使用不同的PLS模型,可以预测铜,铝,铅和铁元素的浓度。还通过研究0.1 M HNO溶液中不同土壤的混合物,评估了将该技术用于现场的可能性,但是,分析时间相当长,大约20分钟。

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