Prediction of properties of diesel/biodiesel blends by infrared spectroscopy and multivariate calibration

Fuel

Volumn 89, Issue 2, 2010, Pages 405-409

  de Fátima Bezerra de Lira, Liliana ^a   de Vasconcelos, Fernanda Vera Cruz ^a   Pereira, Claudete Fernandes ^b   Paim, Ana Paula Silveira ^a   Stragevitch, Luiz ^a   Pimentel, Maria Fernanda ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

^b FEDERAL UNIVERSITY OF PARAÍBA   (Brazil)

Author keywords

Biodiesel; Calibration transfer; Infrared spectroscopy; Multivariate calibration; Partial least square regression

Indexed keywords

BIODIESEL; DISTILLATION; FORECASTING; INFRARED SPECTROSCOPY; INSTRUMENT ERRORS; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; MULTIVARIABLE SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; SPECTROMETERS;

CALIBRATION TRANSFER; DISTILLATION TEMPERATURE; MULTIVARIATE CALIBRATION; PARTIAL LEAST SQUARE REGRESSION; PARTIAL LEAST SQUARES MODELS; QUALITY PARAMETERS; ROOT MEAN SQUARE ERRORS; SECONDARY INSTRUMENTS;

CALIBRATION;

EID: 71549131338     PISSN: 00162361     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fuel.2009.05.028     Document Type: Article

References (24)

1. Pinto A.C., Guarieiro L.L.N., Rezende M.J.C., Ribeiro N.M., Torres E.A., Lopes W.A., et al. Biodiesel: an overview. J Braz Chem Soc 16 (2005) 1313-1330
2. ASTM 975-09. Standard specification for diesel fuel oils. West Conshohocken, PA: ASTM International; 2009.
3. Knothe G. Analyzing biodiesel: standards and other methods. J Am Oil Chem Soc 83 (2006) 823-833
4. ASTM E 1655-05. Standard practices for infrared multivariate quantitative analysis. West Conshohocken, PA: ASTM International; 2005.
5. Honorato F.A., Neto B.B., Pimentel M.F., Stragevitch L., and Galvão R.K.H. Using principal component analysis to find the best calibration settings for simultaneous spectroscopic determination of several gasoline properties. Fuel 87 (2008) 3706-3709
6. Breitkreitz M.C., Raimundo I.M., Rohwedder J.J.R., Pasquini C., Dantas H.A., Jose G.E., et al. Determination of total sulfur in diesel fuel employing NIR spectroscopy and multivariate calibration. The Analyst 9 (2003) 1204-1207
7. Felício C.C., Brás L.P., Lopes J.A., Cabrita L., and Meneses J.C. Comparison of PLS algorithms in gasoline and gas oil parameter monitoring with MIR and NIR. Chemom Intell Lab Syst 78 (2005) 74-80
8. 1H nuclear magnetic resonance spectroscopy. J Am Oil Chem Soc 78 (2001) 1025-1028
9. Pimentel M.F., Ribeiro G.M.G.S., Cruz R.S., Stragevitch L., Filho J.G.A.P., and Teixeira L.S.G. Determination of biodiesel content when blended with mineral diesel fuel using infrared spectroscopy and multivariate calibration. Microchem J 82 (2006) 201-206
10. Oliveira J.S., Montalvão R., Daher L., Suarez P., and Rubim J.C. Determination of methyl ester contents in biodiesel blends by FTIR-ATR and FTNIR spectroscopies. Talanta 69 (2006) 1278-1284
11. Oliveira F.C., Brandão C.R.R., Ramalho H.F., Costa L.A.F., Suarez P.A.Z., and Rubim J.C. Adulteration of diesel/biodiesel blends by vegetable oil as determined by Fourier transform (FT) near infrared spectrometry and FT-Raman spectroscopy. Anal Chim Acta 587 (2007) 194-199
12. Soares I.P., Rezende T.F., Silva R.C., Castro E.V.R., and Fortes I.C.P. Multivariate calibration by variable selection for blends of raw soybean oil/biodiesel from different sources using Fourier transform infrared spectroscopy (FTIR) spectra data. Energy Fuels 22 (2008) 2079-2083
13. Baptista P., Felizardo P., Menezes J.C., and Correia M.J.N. Multivariate near infrared spectroscopy models for predicting the methyl esters content in biodiesel. Anal Chim Acta 607 (2008) 153-159
14. Knothe G. Rapid monitoring of transesterification and assessing biodiesel fuel quality by near-infrared spectroscopy using a fiber-optic probe. J Am Chem Soc 76 (1999) 795-800
15. Knothe G. Monitoring a progressing transesterification reaction by fiber-optic near infrared spectroscopy with correlation to H-1 nuclear magnetic resonance spectroscopy. J Am Oil Chem Soc 77 (2000) 489-493
16. Zagonel G.F., Peralta-Zamora P., and Ramos L.P. Multivariate monitoring of soybean oil ethanolysis by FTIR. Talanta 63 (2004) 1021-1025
17. Felizardo P., Baptista P., Menezes J.C., and Correia M.J.N. Multivariate near infrared spectroscopy models for predicting methanol and water content in biodiesel. Anal Chim Acta 595 (2007) 107-113
18. Baptista P., Felizardo P., Menezes J.C., and Correia M.J.N. Multivariate near infrared spectroscopy models for predicting the iodine value, CFPP, kinematic viscosity at 40 °C and density at 15 °C of biodiesel. Talanta 77 (2008) 144-151
19. Batista P., Felizardo P., Menezes J.C., and Correia M.J.N. Monitoring the quality of oils for biodiesel production using multivariate near infrared spectroscopy models. J Near Infrared Spectrosc 16 (2008) 445-454
20. Pereira C.F., Pimentel M.F., Galvão R.K.H., Honorato F.A., Stragevitch L., and Martins M.N. A comparative study of calibration transfer methods for determination of gasoline quality parameters in three different near infrared spectrometers. Anal Chim Acta 611 (2008) 41-47
21. Fearn T. Standardisation and calibration transfer for near infrared instruments: a review. J Near Infrared Spectrosc 9 (2001) 229-244
22. ASTM D 4052. Standard test method for density and relative density of liquids by digital density meter, vol. 05. Philadelphia, PA: ASTM International; 1996.
23. ASTM D 4294. Standard test method for sulphur in petroleum and petroleum products by energy dispersive X-ray fluorescence spectroscopy, vol. 05. Philadelphia, PA: ASTM International; 1998.
24. ASTM D 86. Standard test method for distillation of petroleum products, vol. 05. Philadelphia, PA: ASTM International; 2000.