首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Design of experiments and detailed uncertainty analysis to develop and validate a solid-phase microextraction/gas chromatography-mass spectrometry method for the simultaneous analysis of 16 pesticides in water
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Design of experiments and detailed uncertainty analysis to develop and validate a solid-phase microextraction/gas chromatography-mass spectrometry method for the simultaneous analysis of 16 pesticides in water

机译:实验设计和详细的不确定性分析,以开发和验证用于同时分析水中16种农药的固相微萃取/气相色谱-质谱法

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A solid-phase microextraction (SPME)/gas chromatography (GC)-mass spectrometry (MS) multiresidue analytical method was developed for 16 pesticides presenting different physicochemical properties including diphenyl ether, triazine, ureas, acetamides, benzofuran, thiocarbamate, pyridine carboxamides, chloronitrile, piperedine, and azoles. Optimization was achieved by means of the design of experiments methodology. Extraction temperature, extraction time, desorption temperature, and NaCl addition were the factors exhibiting the most significant effects on pesticide extraction. Validation was carried out through model adequacy and specificity tests, limits of quantification and detection determination, and full uncertainty assessment on the whole analytical method. Good first- and second-order model adequacy was found for pesticide calibration. LOQs were in the 0.05-0.5μgL~(-1) range and specificity recoveries varied from 75% to 140%. These results were considered acceptable for our research purposes on highly concentrated agricultural flows. Uncertainty calculations accounted for several steps: standard preparation, calibration model selection, and use. On average, real sample concentration uncertainties were lower than 10%, indicating that the analytical method performed very well. Its application to 61 real water samples confirmed the presence of some pesticide concentrations in relation to farmer use, whereas other molecules were usually either not detected or not quantified.
机译:建立了16种农药的固相微萃取(SPME)/气相色谱(GC)-质谱(MS)多残留分析方法,这些农药具有不同的理化特性,包括二苯醚,三嗪,脲,乙酰胺,苯并呋喃,硫代氨基甲酸酯,吡啶甲酰胺,氯腈,哌啶和吡咯。通过设计实验方法实现了优化。萃取温度,萃取时间,解吸温度和添加NaCl是对农药萃取影响最大的因素。通过模型充分性和特异性测试,定量和检测极限以及整个分析方法的完全不确定性评估来进行验证。一氧化碳和一阶二阶模型在农药校准中具有良好的适应性。 LOQ在0.05-0.5μgL〜(-1)范围内,特异性回收率从75%到140%不等。这些结果对于我们针对高度集中的农业流的研究目的而言是可以接受的。不确定度计算涉及几个步骤:标准准备,校准模型选择和使用。平均而言,实际样品浓度的不确定度低于10%,表明该分析方法的效果非常好。将其应用于61个真实水样后,证实存在与农户使用有关的某些农药浓度,而其他分子通常要么未被检测到,要么未被量化。

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