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Introducing Principal Coordinate Analysis (PCoA) Assisted EEMF Spectroscopic Based Novel Analytical Approach for the Discrimination of Commercial Gasoline Fuels

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Abstract

In the present work, a novel analytical procedure by integrating principal coordinate analysis (PcoA) with excitation-emission matrix fluorescence (EEMF) spectroscopy was introduced for discriminating the commercial gasoline fuels. The PcoA technique involved analysis of the distance matrices containing the dissimilarity information and it can serve as an efficient tool for capturing the major as well as subtle compositional differences among the analyzed commercial gasoline samples. The utility of the proposed PcoA assisted EEMF analytical procedure was successfully tested by discriminating gasoline fuel samples belonging to five different industrial brands. The obtained results clearly showed that combination of PcoA and EEMF could provide a simple, sensitive and economical analytical procedure to carry out the rapid analyses of the gasoline samples belonging to different brands.

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References

  1. Lopez RR, Elizalde-Martinez I, Balderas-Tapia L (2010) Complete catalytic oxidation of methane over Pd/CeO2–Al2O3: the influence of different ceria loading. Catal Today 150:358–336

    Google Scholar 

  2. Scherzer J, Gruia AJ (1996) Hydrocracking science and technology. Marcel Dekker, Inc., NewYork

    Google Scholar 

  3. Kumar K, Tarai M, Mishra AK (2017) Unconventional steady-state fluorescence spectroscopy as an analytical technique for analyses of complex-multifluorophoric mixtures. Trends Anal Chem 97:216–243

    CAS  Google Scholar 

  4. IARC monographs Occupational exposures in petroleum refining; crude oil and major petroleum fuels, IARC Monogr Eval Carcinog Risks Hum. 45 (1989) 1–322

  5. Goayal P (2003) Sidhartha, present scenario of air quality in Delhi: a case study of CNG implementation. Atmos Environ 37:5423–5431

    Google Scholar 

  6. Ritter S (2005) Gasoline. Sci Technol 83:37

    Google Scholar 

  7. Kumar K, Mishra AK (2012) Quantification of ethanol in ethanol-petrol and biodiesel in biodiesel-diesel blends using fluorescence spectroscopy and multivariate methods. J Fluorsc 22:339–347

    CAS  Google Scholar 

  8. Lakowicz JR (2006) Principles of fluorescence spectroscopy. Springer, New York

    Google Scholar 

  9. Valuer B (2001) Molecular fluorescence: principles and applications. Wiley-VCH Verlag GmbH, New York

    Google Scholar 

  10. Freegarde M, Hatchard CG, Parker CA (1971) Oil spilt at sea: its identification, determination, and ultimate fate. Lab Pr 20:35–40

    CAS  Google Scholar 

  11. Warner IM, Callis JB, Davidsion ER, Goutermann M, Christian GD (1975) Fluorescence analysis: a new approach. Anal Lett 8:665–681

    CAS  Google Scholar 

  12. Rho JH, Stuart JL (1978) Automated three-dimensional plotter for fluorescence measurements. Anal Chem 50:620–625

    CAS  Google Scholar 

  13. Kumar K, Mishra AK (2013) Analysis of dilute aqueous multifluorophoric mixtures using excitation-emission matrix fluorescence (EEMF) and total synchronous fluorescence (TSF) spectroscopy: a comparative evaluation. Talanta 117:209–220

    CAS  PubMed  Google Scholar 

  14. Warner IM, Callis JB, Davidson ER, Christian GD (1976) Multicomponent analysis in clinical chemistry by use of rapid scanning fluorescence spectroscopy. Clin Chem 22:1483–1492

    CAS  PubMed  Google Scholar 

  15. Warner IM, Christian GD, Davidson ER, Callis JB (1977) Analysis of multicomponent fluorescence data. Anal Chem 49:564–573

    Article  CAS  Google Scholar 

  16. Warner IM, Davidson ER, Christian GD (1977) Quantitative analyses of multicomponent fluorescence data by the methods of least squares and non-negative least sum of errors. Anal Chem 49:2155–2159

    Article  CAS  Google Scholar 

  17. Coble PG (1996) Characterization of marine and terrestrial DOM in seawater using excitation emission matrix spectroscopy. Mar Chem 51:325–346

    Article  CAS  Google Scholar 

  18. Sierra MM, Giovanela M, Parlanti E, Soriano-Sierra EJ (2005) Fluorescence fingerprint of fulvic and humic acids from varied origins as viewed by single-scan and excitation/emission matrix techniques. Chemosphere 58:715–733

    Article  CAS  Google Scholar 

  19. Sheng GP, Yu HQ (2006) Characterization of extracellular polymeric substances of aerobic and anaerobic sludge using three-dimensional excitation and emission matrix fluorescence spectroscopy. Water Res 40:1233–1239

    Article  CAS  Google Scholar 

  20. Richards-Kortum R, Rava RP, Petras RE, Fitzmaurice M, Sivak M, Feld MS (1991) Spectroscopic diagnosis of colonic dysplasia. Photochem Photobiol 53:777–786

    CAS  PubMed  Google Scholar 

  21. M. Brewer, U. Utzinger, E. Silva, D. Gershenson, R.C. Bast, M. Follen, R. Richards-Kortum,Fluorescence spectroscopy for in vivo characterization of ovarian tissue., Lasers Surg. Med. 29 (2001)128–135

  22. Johnson DW, Callis JB, Christian GD (1977) Rapid scanning fluorescence spectroscopy. Anal Chem 49:747–757

    Google Scholar 

  23. Wolfbeis OS, Leiner M (1985) Mapping of the total fluorescence of human blood serum as a new method for its characterization. Anal Chim Acta 167:203–215

    CAS  Google Scholar 

  24. E. Sikorska, A. Romaniuk, I. V. Khmelinskii, R. Herance, J.L. Bourdelande, M. Sikorski, J.Koziol (2004) Characterization of edible oils using total luminescence spectroscopy in: J. Fluoresc, pp. 25–35

  25. Kurdi RE, Kumar K, Patra D (2018) Random initialisation of the excitation-emission matrix fluorescence spectral variables in constraint fashion for subsequent multivariate curve resolution alternating least square analysis on a peculiarly designed calibration set: simultaneous sensing of nine polycyclic aromatic hydrocarbons in water samples. Spectrochim Acta A 204:354–361

    Google Scholar 

  26. Young G, Householder AS (1938) Discussion of a set of points in terms of their mutual distances. Psychometrika 3:19–22

    Google Scholar 

  27. Gower JC (1996) Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53:325–338

    Google Scholar 

  28. Krzanowski WJ, Marriott FHC (1994) Multivariate analysis, part I: distributions. Halstead Press London, Ordination and Inference

    Google Scholar 

  29. Borg I, Groenen P (1997) Modern multidimensional scaling: theory and applications. Springer, New York

    Google Scholar 

  30. Legendre P, Legendre L (1998) Numerical ecology, second edn. Elsevier, Amsterdam

  31. Kumar K, Cava F (2018) Principal coordinate analysis assisted chromatographic analysis of bacterial cell wall collection: a robust classification approach. Anal Biochem 550:8–14

    CAS  PubMed  Google Scholar 

  32. Kumar K (2017) Principal component analysis (PCA) the most favourite tool in chemometrics. Reson 8:747–759

    Google Scholar 

  33. Brereton GR (2009) Chemometrics for pattern recognition. John Wiley & Sons, Chichester

    Google Scholar 

  34. Kramer R (1998) Chemometric techniques for quantitative analysis. Marcel Dekker, Newyork

    Google Scholar 

  35. Zadora G, Martyna A, Ramos D, Aitken C (2014) Statistical analysis in forensic science: evidential value of multivariate physicochemical data, John Wiley &Sons, Chichester

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Acknowledgments

Financial support provided by Munib and Angela Masri Institute of Energy and Natural Resources Grant, American University of Beirut, Lebanon to carry out this work is greatly acknowledged.

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Author notes

  1. Keshav Kumar

    Present address: Hochschule Geisenheim University, Geisenheim, Germany

Authors and Affiliations

  1. Department of Chemistry, American University of Beirut, Beirut, Lebanon

    Riham El Kurdi & Digambara Patra

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  1. Riham El Kurdi
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  2. Keshav Kumar
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  3. Digambara Patra
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Correspondence to Keshav Kumar or Digambara Patra.

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El Kurdi, R., Kumar, K. & Patra, D. Introducing Principal Coordinate Analysis (PCoA) Assisted EEMF Spectroscopic Based Novel Analytical Approach for the Discrimination of Commercial Gasoline Fuels. J Fluoresc 30, 1583–1589 (2020). https://doi.org/10.1007/s10895-020-02617-9

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