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Environmentally Friendly Determination of Quality Parameters of Biodiesel/Diesel Blends Using Fourier Transform Infrared Spectra

  • Original Paper
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Journal of the American Oil Chemists' Society

Abstract

Multivariate calibration models based on data from mid-infrared spectroscopy of biodiesel/diesel blends were obtained. The blends were prepared from diesel oil and esters of soybean oil, waste cooking oil, and hydrogenated vegetable oil in proportions ranging from 0 to 100 % biodiesel. The results showed that the multivariate regression models with interval partial least squares (iPLS), backward interval partial least squares (biPLS), and synergy interval partial least squares (siPLS) were able to determine the fractions of the infrared spectrum that contain the relevant information for estimating the values of physicochemical properties, flash point, specific gravity, and cetane number, which are used in quality control of the blends. In the best models, the values of determination coefficients were greater than 0.9500, proving their efficiency as an alternative to traditional analytical methods.

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References

  1. Samios D, Pedrotti F, Nicolau A, Reiznautt QB, Martini DD, Dalcin FM (2009) A Transesterification Double Step Process—TDSP for biodiesel preparation from fatty acids triglycerides. Fuel Process Technol 90:599–605

    Article  CAS  Google Scholar 

  2. Meira M, Quintella C, Pepe I, Costa Neto P, Santos Tanajura A, Silva H (2012) Prediction of properties of biodiesel–diesel blends using spectrofluorimetry and multivariate calibration. Cent Eur J Chem 10:1328–1337

    Article  Google Scholar 

  3. Qi DH, Lee CF (2014) Influence of soybean biodiesel content on basic properties of biodiesel–diesel blends. J Taiwan Inst Chem Eng 45:504–507

    Article  CAS  Google Scholar 

  4. Hussan MJ, Hassan MH, Kalam MA, Memon LA (2013) Tailoring key fuel properties of diesel-biodiesel-ethanol blends for diesel engine. J Clean Prod 51:118–125

    Article  CAS  Google Scholar 

  5. Rocha WFC, Nogueira R, Vaz BG (2012) Validation of model of multivariate calibration: an application to the determination of biodiesel blend levels in diesel by near-infrared spectroscopy. J Chemom 26:456–461

    Article  CAS  Google Scholar 

  6. Du CW, Zhou JM (2009) Evaluation of soil fertility using infrared spectroscopy: a review. Environ Chem Lett 7:97–113

    Article  CAS  Google Scholar 

  7. dos Santos CAT, Lopo M, Pascoa R, Lopes JA (2013) A review on the applications of portable near-infrared spectrometers in the agro-food industry. Appl Spectrosc 67:1215–1233

    Article  Google Scholar 

  8. Matero S, van Den Berg F, Poutiainen S, Rantanen J, Pajander J (2013) Towards better process understanding: chemometrics and multivariate measurements in manufacturing of solid dosage forms. J Pharm Sci 102:1385–1403

    Article  CAS  Google Scholar 

  9. Khanmohammadi M, Garmarudi AB, de la Guardia M (2012) Characterization of petroleum-based products by infrared spectroscopy and chemometrics. Trends Anal Chem 35:135–149

    Article  CAS  Google Scholar 

  10. Soares IP, Rezende TF, Fortes ICP (2009) Study of the behavior changes in physical-chemistry properties of diesel/biodiesel (B2) mixtures with residual oil and its quantification by partial least-squares attenuated total reflection-Fourier transformed infrared spectroscopy (PLS/ATR-FTIR). Energy Fuels 23:4143–4148

    Article  CAS  Google Scholar 

  11. de Lira LFB, de Vasconcelos FVC, Pereira CF, Paim APS, Stragevitch L, Pimentel MF (2010) Prediction of properties of diesel/biodiesel blends by infrared spectroscopy and multivariate calibration. Fuel 89:405–409

    Article  Google Scholar 

  12. Ferrao MF, Viera MD, Pazos REP, Fachini D, Gerbase AE, Marder L (2011) Simultaneous determination of quality parameters of biodiesel/diesel blends using HATR-FTIR spectra and PLS, iPLS or siPLS regressions. Fuel 90:701–706

    Article  CAS  Google Scholar 

  13. Francesquett JZ, Dopke HB, da Costa AB, Kipper LM, Ferrão MF (2013) Determinação do Poder Calorífico de Amostras de Gasolina Utilizando Espectroscopia no Infravermelho Próximo e Regressão Multivariada (in Portuguese), Orbital: the Electronic. J Chem 5:88–95

    CAS  Google Scholar 

  14. Marinović S, Krištović M, Spehar B, Rukavina V, Jukić A (2012) Prediction of diesel fuel properties by vibrational spectroscopy using multivariate analysis. J Anal Chem 67:939–949

    Article  Google Scholar 

  15. dos Santos DA, Março PH, Valderrama P (2013) Multi-product calibration: preliminary studies to determine quality parameters in industrialized juices based on ultraviolet spectroscopy Br J. Anal Chem 12:495–498

    Google Scholar 

  16. Micklander E, Kjeldahl K, Egebo M, Nørgaard L (2006) Multi-product calibration models of near infrared spectra of foods. J Near Infrared Spectrosc 14:395–402

    Article  CAS  Google Scholar 

  17. Guzatto R, Defferrari D, Reiznautt QB, Cadore IR, Samios D (2012) Transesterification double step process modification for ethyl ester biodiesel production from vegetable and waste oils. Fuel 92:197–203

    Article  CAS  Google Scholar 

  18. Kennard RW, Stone LA (1969) Computer aided design of experiments. Technometrics 11:137–148

    Article  Google Scholar 

  19. Colthup NB, Daly LH, Wiberley SE (1990) Introduction to infrared and Raman spectroscopy. Academic, San Diego

    Google Scholar 

  20. Giakoumis EG (2013) A statistical investigation of biodiesel physical and chemical properties, and their correlation with the degree of unsaturation. Renew Energ 50:858–878

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors are thankful to CNPq for financial support, INCT-Bioanalítica and REFAP for the diesel oil samples, and CECOM/UFRGS for the analysis and infrastructure.

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Authors and Affiliations

  1. Instituto de Química, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, CEP 91501-970, Brazil

    Carla Felippi Chiella Ruschel, Chun Te Huang, Dimitrios Samios & Marco Flôres Ferrão

  2. Instituto Nacional de Ciência e Tecnologia em Bioanalítica (INCT–Bioanalítica), Campinas, SP, CEP 13084-971, Brazil

    Marco Flôres Ferrão

  3. Laboratório de Análises de Combustíveis Automotivos (LACAUT), Centro Politécnico, Universidade Federal do Paraná, Curitiba, PR, CEP 81531-990, Brazil

    Carlos Itsuo Yamamoto & Rubia Carla Barato Plocharski

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  1. Carla Felippi Chiella Ruschel
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  2. Chun Te Huang
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  3. Dimitrios Samios
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  5. Carlos Itsuo Yamamoto
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Correspondence to Carla Felippi Chiella Ruschel.

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Ruschel, C.F.C., Huang, C.T., Samios, D. et al. Environmentally Friendly Determination of Quality Parameters of Biodiesel/Diesel Blends Using Fourier Transform Infrared Spectra. J Am Oil Chem Soc 92, 309–315 (2015). https://doi.org/10.1007/s11746-015-2601-z

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  • DOI: https://doi.org/10.1007/s11746-015-2601-z

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