کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9743336 | 1491187 | 2005 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Application of partial least-squares spectrophotometric-multivariate calibration to the determination of 2-sec-butyl-4,6-dinitrophenol (dinoseb) and 2,6-dinitro-p-cresol in industrial and water samples containing hydrocarbons
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The present report describes the spectrophotometric determination of 2-sec-butyl-4,6-dinitrophenol (dinoseb) and 2,6-dinitro-p-cresol, two inhibitors of the styrene polimerization, in two very different types of matrices. One of them is present in an industrial distillation tower, and contains styrene and more than 60 hydrocarbons. Partial least-squares (PLS) multivariate calibration enabled us to determine both analytes without the necessity of applying extraction processes, as well as significantly reducing the time involved in the currently applied analytical method. The limit of detection for both compounds, referred to the industrial sample, was 1.0 μg mlâ1, for concentration ranges of 0-261 μg mlâ1 (dinoseb) and 0-448 μg mlâ1 (2,6-dinitro-p-cresol). The method was successfully applied to real samples. In addition, dinoseb was simultaneously determined with 2,6-dinitro-p-cresol in hydrocarbon-water mixtures by PLS calibration. In this type of samples, the concentrations are significantly lower and thus a pre-concentration step through solid-phase extraction preceded the spectrophotometric measurements. The limits of detection for the simultaneous determination of dinoseb and 2,6-dinitro-p-cresol were 1.2 and 1.0 ng mlâ1, respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Analytica Chimica Acta - Volume 553, Issues 1â2, 30 November 2005, Pages 141-147
Journal: Analytica Chimica Acta - Volume 553, Issues 1â2, 30 November 2005, Pages 141-147
نویسندگان
Juan A. Arancibia, Gerardo MartÃnez Delfa, Carlos E. Boschetti, Graciela M. Escandar, Alejandro C. Olivieri,