Journal
ANALYTICA CHIMICA ACTA
Volume 592, Issue 1, Pages 82-90Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.aca.2007.03.079
Keywords
excitation emission matrix fluorescence (EEMF); parallel factor analysis (PARAFAC); N-way partial least squares regression (N-PLS)
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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. (C) 2007 Elsevier B.V. All fights reserved.
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