Díez C, Barrado E, Marinero P, Sanz M
Agrarian Technological Institute of "Castilla y León", Ctra. Burgos, km. 119, 47071 Valladolid, Spain.
J Chromatogr A. 2008 Feb 8;1180(1-2):10-23. doi: 10.1016/j.chroma.2007.12.036. Epub 2007 Dec 23.
Nearly 40 herbicides, commonly used for barley, were selected for analysis in soils of this crop. The primary objective was to develop a multiresidue method taking into account that herbicides belonged to different chemical families. Some preliminary experiments with different solvents in combination with water, acetic acid and ammonium hydroxide, were developed in order to design the predefined region covered by the orthogonal array design used for optimization. Final extracts were splitted in two aliquots, one of them was directly analyzed by gas chromatography-mass spectrometry (GC-MS), and the other one was derivatized before the acidic analyte analysis. Principal component analysis (PCA) was applied to the data generated in the preliminary experiments, in order to clarify the relationships among the different variables studied. According to the obtained results, the following variables were selected: solvent type and ratio, amount of acetic acid and extraction time. The statistical analysis revealed that all the factors were significant being the most important, the type and ratio of solvent for basic and neutral herbicides and the acetic acid percentage for acid herbicides. The final optimized method consisted of shaking previously wet soil samples for 30 min with 30 ml of acetone acidified with 1% acetic acid. Method validation was evaluated following the EU guidelines.
选取了近40种常用于大麦的除草剂,对该作物种植土壤进行分析。主要目的是开发一种多残留方法,同时考虑到除草剂属于不同的化学类别。开展了一些将不同溶剂与水、乙酸和氢氧化铵结合使用的初步实验,以便设计用于优化的正交阵列设计所涵盖的预定义区域。最终提取物分成两份,其中一份直接通过气相色谱-质谱联用仪(GC-MS)进行分析,另一份在酸性分析物分析前进行衍生化处理。对初步实验中产生的数据进行主成分分析(PCA),以阐明所研究的不同变量之间的关系。根据所得结果,选择了以下变量:溶剂类型和比例、乙酸用量和提取时间。统计分析表明,所有因素均具有显著性,其中最重要的是碱性和中性除草剂的溶剂类型和比例以及酸性除草剂的乙酸百分比。最终优化方法是将预先湿润的土壤样品与30毫升用1%乙酸酸化的丙酮振荡30分钟。按照欧盟指南对方法验证进行了评估。