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首页> 外文期刊>Analytica chimica acta >Quantitative analysis of triazine herbicides in environmental samples by using high performance liquid chromatography and diode array detection combined with second-order calibration based on an alternating penalty trilinear decomposition algorithm
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Quantitative analysis of triazine herbicides in environmental samples by using high performance liquid chromatography and diode array detection combined with second-order calibration based on an alternating penalty trilinear decomposition algorithm

机译:基于交替罚三线性分解算法的高效液相色谱-二极管阵列检测与二阶校正相结合的环境样品中三嗪类除草剂的定量分析

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摘要

A novel application of second-order calibration method based on an alternating penalty trilinear decomposition (APTLD) algorithm is presented to treat the data from high performance liquid chromatography-diode array detection (HPLC-DAD). The method makes it possible to accurately and reliably analyze atrazine (ATR), ametryn (AME) and prometryne (PRO) contents in soil, river sediment and wastewater samples. Satisfactory results are obtained although the elution and spectral profiles of the analytes are heavily overlapped with the background in environmental samples. The obtained average recoveries for ATR, AME and PRO are 99.7± 1.5, 98.4±4.7 and 97.0±4.4% in soil samples, 100.1 ±3.2, 100.7±3.4 and 96.4±3.8% in river sediment samples, and 100.1 ±3.5, 101.8±4.2 and 101.4±3.6% in wastewater samples, respectively. Furthermore, the accuracy and precision of the proposed method are evaluated with the elliptical joint confidence region (EJCR) test. It lights a new avenue to determine quantitatively herbicides in environmental samples with a simple pretreatment procedure and provides the scientific basis for an improved environment management through a better understanding of the wastewater-soil-river sediment system as a whole.
机译:提出了一种基于交替罚三线性分解(APTLD)算法的二阶标定方法在高效液相色谱-二极管阵列检测(HPLC-DAD)中的新应用。该方法使准确,可靠地分析土壤,河流沉积物和废水样品中的at去津(ATR),a啶(AME)和pro丸(PRO)含量成为可能。尽管分析物的洗脱和光谱图与环境样品中的背景高度重叠,但仍获得令人满意的结果。获得的ATR,AME和PRO的平均回收率在土壤样品中为99.7±1.5%,98.4±4.7和97.0±4.4%,在河流沉积物中为100.1±3.2、100.7±3.4和96.4±3.8%,以及100.1±3.5、101.8废水样品中分别为±4.2%和101.4±3.6%。此外,该方法的准确性和精密度通过椭圆联合置信区间(EJCR)测试进行了评估。它为通过简单的预处理程序定量测定环境样品中的除草剂开辟了一条新途径,并通过更好地了解整个废水-土壤-河流沉积物系统,为改善环境管理提供了科学依据。

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