کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1207285 1493724 2008 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Advantages of PARAFAC calibration in the determination of malachite green and its metabolite in fish by liquid chromatography–tandem mass spectrometry
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Advantages of PARAFAC calibration in the determination of malachite green and its metabolite in fish by liquid chromatography–tandem mass spectrometry
چکیده انگلیسی

This paper reports the properties and advantages of the three-way calibration models based on parallel factor analysis (PARAFAC) in the simultaneous determination of malachite green (MG) and its metabolite (leucomalachite green, LMG) in trout. A recently method proposed by community reference laboratory AFSSA-LERMVD (Fougères, France) has been used. The method is based on liquid chromatography–triple quadrupole mass spectrometry (LC–MS/MS) in multiple reaction monitoring (MRM) mode. The validation of the method has been carried out taking into account the Decision 2002/657/EC. The figures of merit for PARAFAC and univariate calibration models of six non-consecutive days analyzed during a month were evaluated. With the samples of the first 3 days, calibration models were built and the fish fortification samples of the other days were predicted. Decision limits (CCα, α = 0.01), detection capabilities (CCβ, β = 0.05) and mean relative errors in absolute value (in calibration and with test samples) obtained with PARAFAC calibrations were more homogeneous than the ones obtained with the univariate calibrations, especially in LMG. These figures of merit were in the range of 0.2–0.83 μg kg−1 (CCβ) and 0.2–0.49 μg kg−1 (CCα), whereas mean relative errors in absolute value were in the range of 1.1–7.4% in calibration and 3–12% in test samples for MG and LMG with PARAFAC calibrations. The PARAFAC calibrations allow detecting the test samples which are not similar to the calibration samples and in this way their wrong quantification is avoided.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Chromatography A - Volume 1187, Issues 1–2, 11 April 2008, Pages 1–10
نویسندگان
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