Literature DB >> 20869500

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.

Yuan-Na Li1, Hai-Long Wu, Xiang-Dong Qing, Quan Li, Shu-Fang Li, Hai-Yan Fu, Yong-Jie Yu, Ru-Qin Yu.   

Abstract

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.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20869500     DOI: 10.1016/j.aca.2010.08.007

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  2 in total

1.  Reliable methods for determination of triazine herbicides and their degradation products in seawater and marine sediments using liquid chromatography-tandem mass spectrometry.

Authors:  N Rodríguez-González; R Uzal-Varela; M J González-Castro; S Muniategui-Lorenzo; E Beceiro-González
Journal:  Environ Sci Pollut Res Int       Date:  2017-01-27       Impact factor: 4.223

2.  Simultaneous Recognition of Species, Quality Grades, and Multivariate Calibration of Antioxidant Activities for 12 Famous Green Teas Using Mid- and Near-Infrared Spectroscopy Coupled with Chemometrics.

Authors:  Haiyan Fu; Ou Hu; Lu Xu; Yao Fan; Qiong Shi; Xiaoming Guo; Wei Lan; Tianming Yang; Shunping Xie; Yuanbin She
Journal:  J Anal Methods Chem       Date:  2019-01-02       Impact factor: 2.193

  2 in total

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