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Quantification of the contents in biojet fuel blends using near infrared spectroscopy and multivariate calibration

Abstract

In this work a methodology was developed for quantification of the contents of petroleum-derived, hydroprocessed esters and fatty acids (HEFA) and farnesane jet fuels in binary and ternary mixtures using near infrared spectroscopy and multivariate calibration based on partial least squares (PLS) regression. The developed models are simpler, faster and cheaper when compared to the standard reference method ASTM D6866-12, with further advantage of differentiation between biofuels. Petroleum-derived jet fuel and biofuels were determined in binary blends with values of root mean square error of prediction (RMSEP) of 0.48% for both HEFA and petroleum-derived jet fuels, with limit of detection of 0.32%. Ternary blends presented values of RMSEP of 0.69%, 0.35% and 0.44% for HEFA, farnesane and petroleum-derived jet fuels, respectively, with limits of detection in the range of 0.22 to 0.39%. The developed models, based on bias and permutation tests, did not present systematic errors and trends in residuals, turning them appropriated for analysis of biojet fuel blends.

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Publication details

The article was accepted on 15 Jul 2017 and first published on 17 Jul 2017


Article type: Paper
DOI: 10.1039/C7AY01550J
Citation: Anal. Methods, 2017, Accepted Manuscript
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    Quantification of the contents in biojet fuel blends using near infrared spectroscopy and multivariate calibration

    L. A. Terra, P. R. Filgueiras, J. L. Alves and R. J. Poppi, Anal. Methods, 2017, Accepted Manuscript , DOI: 10.1039/C7AY01550J

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