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Spectrofluorimetric study of the herbicide bentazone in organized media: analytical applications

机译:有机介质中除草剂苯达松的荧光光谱研究:分析应用

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The present work is devoted to the study of the spectrofluorimetric behavior of the herbicide bentazone in the presence of selected organized assemblies, with the purpose of optimizing the working conditions for its determination in environmental samples. Bentazone is one of the most applied herbicides in countries of profuse agriculture, and belongs to the group of relevant persistent pollutants. Among the studied media, methyl-β-cyclodextrin produced the largest fluorescence signals for bentazone, and was selected as auxiliary reagent for the quantitative analyses. The selectivity of the method, i.e., its capability to measure accurately an analyte in the presence of interferents that may be present in the sample matrix, was improved through second-order multivariate calibration, measuring excitation–emission fluorescence matrices for both artificial and real samples, and processing them with the algorithm parallel-factor analysis (PARAFAC). A detection limit of 3 ng mL?1 and a relative error of prediction of 5.6% for bentazone were obtained in samples without interferents. In samples containing seven additional agrochemicals acting as interferences, the limit of detection and the relative error of prediction were 5 ng mL?1 and 9.9%, respectively. The method was successfully applied to spiked natural water samples, with statistical parameters in these cases which were similar to those calculated in samples with interferences. In this study, the advantages of coupling fluorescence measurements in organized media and second-order chemometric analysis are exploited in order to rapidly quantify a frequent pollutant at low concentrations in a very interfering medium and using green chemicals...
机译:目前的工作致力于在选择的有组织的组件的存在下对除草剂苯达松的荧光光谱行为进行研究,以优化在环境样品中测定其的工作条件。 Bentazone是大量农业国家中使用最广泛的除草剂之一,属于相关的持久性污染物。在研究的介质中,甲基-β-环糊精对苯达松产生最大的荧光信号,并被选作定量分析的辅助试剂。该方法的选择性,即在样品基质中可能存在干扰物的情况下,能够准确测量分析物的能力,通过二阶多元校准,测量了人工样品和真实样品的激发-发射荧光矩阵得到了改善,并使用算法并行因子分析(PARAFAC)对其进行处理。在没有干扰物的样品中,苯达松的检出限为3 ng mL?1,相对预测误差为5.6%。在含有另外7种农药的样品中,检出限和预测相对误差分别为5 ng mL?1和9.9%。该方法已成功应用于加标的天然水样品中,在这些情况下的统计参数与受干扰样品中计算出的统计参数相似。在这项研究中,利用耦合荧光测量在有组织的介质中进行化学计量分析和二级化学计量分析的优势,以便快速定量地在非常干扰的介质中以低浓度使用绿色化学物质对常见污染物进行定量。

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