کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1170974 960698 2007 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multivariate methods on the excitation emission matrix fluorescence spectroscopic data of diesel–kerosene mixtures: A comparative study
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Multivariate methods on the excitation emission matrix fluorescence spectroscopic data of diesel–kerosene mixtures: A comparative study
چکیده انگلیسی

Quantitative determination of kerosene fraction present in diesel has been carried out based on excitation emission matrix fluorescence (EEMF) along with parallel factor analysis (PARAFAC) and N-way partial least squares regression (N-PLS). EEMF is a simple, sensitive and nondestructive method suitable for the analysis of multifluorophoric mixtures. Calibration models consisting of varying compositions of diesel and kerosene were constructed and their validation was carried out using leave-one-out cross validation method. The accuracy of the model was evaluated through the root mean square error of prediction (RMSEP) for the PARAFAC, N-PLS and unfold PLS methods. N-PLS was found to be a better method compared to PARAFAC and unfold PLS method because of its low RMSEP values.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Analytica Chimica Acta - Volume 592, Issue 1, 29 May 2007, Pages 82–90
نویسندگان
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