Literature DB >> 24209332

Analysis of dilute aqueous multifluorophoric mixtures using excitation-emission matrix fluorescence (EEMF) and total synchronous fluorescence (TSF) spectroscopy: a comparative evaluation.

Keshav Kumar1, Ashok Kumar Mishra.   

Abstract

Excitation-emission matrix fluorescence (EEMF) and total synchronous fluorescence (TSF) spectroscopy are two conceptually different fluorescence techniques that have been used to map the fluorescence responses of the fluorophores present in a multifluorophoric mixture. EEMF was introduced four decades back and most of the fluorimeters have the suitable computer program which allows the acquisition EEMF spectra. Recently introduced TSF spectroscopy has been shown to possess good application potential in analytical fluorimetry and has started attracting the attention of analytical chemists. TSF data structure, however, is intrinsically different from EEMF data structure and a better understanding of TSF data structure is crucial to utilising its application potential. In the present work, a comprehensive comparative study between EEMF and TSF spectroscopic data set was performed by taking aqueous mixtures containing low concentrations of benzo[a]pyrene, chrysene, and pyrene as test case. The EEMF and TSF data structures were clearly explained by taking pyrene as an example. The effects of Rayleigh and Raman scattering on the quality of EEMF and TSF data sets were studied. EEMF and TSF data sets of dilute aqueous mixtures of benzo[a]pyrene, chrysene, and pyrene were subjected to three chemometric techniques PARAFAC, N-PLS, and MCR-ALS analysis. TSF data set in particular was found to be highly attuned to MCR-ALS analysis. Obtained results of chemometric analyses on EEMF and TSF data sets show that TSF data of dilute aqueous mixtures provides more accurate spectral and concentration information than EEMF data sets. Therefore, TSF spectroscopy could be considered as an alternate to the EEMF for the analyses of dilute multifluorophoric mixtures.
© 2013 Elsevier B.V. All rights reserved.

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Keywords:  Bilinear; EEMF; MCR-ALS; N-PLS; PARAFAC; Raman scattering; Rayleigh scattering; TSF; Trilinear

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Year:  2013        PMID: 24209332     DOI: 10.1016/j.talanta.2013.09.002

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  5 in total

1.  Processing Excitation-Emission Matrix Fluorescence and Total Synchronous Fluorescence Spectroscopy Data Sets with Constraint Randomised Non-negative Factor Analysis: a Novel Fluorescence Based Analytical Procedure to Analyse the Multifluorophoric Mixtures.

Authors:  Keshav Kumar
Journal:  J Fluoresc       Date:  2018-08-20       Impact factor: 2.217

2.  Introducing 'Simple Variable Selection (SVS) Approach' for Improving the Quantitative Accuracy of Chemometric Assisted Fluorimetric Estimations of Dilute Aqueous Mixtures.

Authors:  Keshav Kumar
Journal:  J Fluoresc       Date:  2018-08-16       Impact factor: 2.217

3.  Application of Genetic Algorithm (GA) Assisted Partial Least Square (PLS) Analysis on Trilinear and Non-trilinear Fluorescence Data Sets to Quantify the Fluorophores in Multifluorophoric Mixtures: Improving Quantification Accuracy of Fluorimetric Estimations of Dilute Aqueous Mixtures.

Authors:  Keshav Kumar
Journal:  J Fluoresc       Date:  2018-03-29       Impact factor: 2.217

4.  Non-negative Factor (NNF) Assisted Partial Least Square (PLS) Analysis of Excitation-Emission Matrix Fluorescence Spectroscopic Data Sets: Automating the Identification and Quantification of Multifluorophoric Mixtures.

Authors:  Keshav Kumar
Journal:  J Fluoresc       Date:  2019-09-10       Impact factor: 2.217

5.  Time-Resolved Synchronous Fluorescence for Biomedical Diagnosis.

Authors:  Xiaofeng Zhang; Andrew Fales; Tuan Vo-Dinh
Journal:  Sensors (Basel)       Date:  2015-08-31       Impact factor: 3.576

  5 in total

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