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Simultaneous determination of pre-emergence herbicides in environmental samples using HPLC-DAD combined with second-order calibration based on self-weighted alternating trilinear decomposition algorithm

机译:HPLC-DAD结合基于自加权交替三线性分解算法的二阶校正同时测定环境样品中的出苗前除草剂

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摘要

This work presents a novel strategy for simultaneous and rapid quantitative analysis of three pre-emergence herbicides in environmental samples using HPLC-DAD combined with second-order calibration based on the self-weighted alternating trilinear decomposition (SWATLD) algorithm. The sample preparation procedure was simplified only by using water as solvent and methanol as extractant and data were measured in less than 4.2 min by applying an isocratic mode. Although the elution and spectral profiles of the analytes, prometryne (PRO), napropamide (NAP) and alachlor (ALA), are heavily overlapped with each other and with matrix constitutes, the method not only extracts the profiles of the analytes, but also simultaneously determines the concentrations of them in actual complex systems, i.e., river sediment and wastewater samples. In the analysis of river sediment and wastewater samples, the obtained average recoveries were 99 ± 6% and 98 ± 5% for PRO, 108 ± 6% and 100 ± 4% for NAP and 98 ± 5% and 97 ± 4% for ALA, respectively. Furthermore, the accuracy and precision of the proposed method was also evaluated through elliptical joint confidence region tests as well as figures of merit. Such a chemometrics-based protocol may be a very promising tool for more analytical applications in environment monitoring, due to its advantages of easy sample pretreatment, green, sufficient spectral resolution and concentration prediction even in the presence of unknown interferences.
机译:这项工作提出了一种新的策略,该方法使用HPLC-DAD结合基于自加权交替三线性分解(SWATLD)算法的二次校准,可以同时快速定量分析环境样品中的三种除草剂。仅以水为溶剂,以甲醇为萃取剂,简化了样品制备程序,并通过应用等度模式在不到4.2分钟的时间内测量了数据。尽管分析物的洗出液和光谱图,丙三烯(PRO),萘丙酰胺(NAP)和丙草胺(ALA)彼此重迭且与基质组成重叠,但该方法不仅提取分析物的图谱,而且同时提取确定它们在实际复杂系统中的浓度,即河流沉积物和废水样品。在分析河流沉积物和废水样品时,PRO的平均回收率为99±6%和98±5%,NAP的平均回收率为108±6%和100±4%,ALA的为98±5%和97±4% , 分别。此外,还通过椭圆联合置信区域测试以及性能指标评估了所提出方法的准确性和精确性。这种基于化学计量学的方案可能具有非常好的前景,因为它具有易于样品预处理,绿色,足够的光谱分辨率和浓度预测(即使在存在未知干扰的情况下)的优势,可用于环境监测中的更多分析应用。

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