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Assessment of near infrared spectroscopy for energetic characterization of olive byproducts

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  • Mata Sánchez, Jesús
  • Pérez Jiménez, Jose Antonio
  • Díaz Villanueva, Manuel Jesús
  • Serrano, Antonio
  • Núñez, Nieves
  • López Giménez, Jesús

Abstract

The use of biofuels is a key factor in this transition away from fossil fuels. Today, biofuels are only a small share of world total energy supply. The characterization of biomass is a substantial improvement in the valorization of these resources, allowing a rational and controlled use of its energy potential. Therefore, a fast, reliable and cheap analytical technique is mandatory in order to increase the quality control of these products in the bioenergetic industry and enable comprehensive traceability of raw materials and processes in pursuit of a better use of resources. Near-Infrared (NIR) spectroscopy is eligible for the development of quality control systems of products and processes in accordance with the new demands taking into account their high response speed, low cost per sample, absence of sample preparation, versatility for the analysis of many different products and parameters. NIR spectroscopy prediction model for determination of quality parameters such us moisture, gross energetic value, ash content, volatile fraction content, and elemental composition (Carbon, Hydrogen, and Nitrogen) from ground and dried olive residues have been obtained. High accuracy in prediction for a test set has been achieved for all the parameters (R2 > 0.7) except for Hydrogen content. As expected, Standard Error of Prediction (SEP) for ground samples is better than dried samples except for moisture content. This study illustrates the possibility of using the NIR technique in combination with multivariate data analysis to predict economically important properties of olive byproducts for energetic uses.

Suggested Citation

  • Mata Sánchez, Jesús & Pérez Jiménez, Jose Antonio & Díaz Villanueva, Manuel Jesús & Serrano, Antonio & Núñez, Nieves & López Giménez, Jesús, 2015. "Assessment of near infrared spectroscopy for energetic characterization of olive byproducts," Renewable Energy, Elsevier, vol. 74(C), pages 599-605.
    • Handle: RePEc:eee:renene:v:74:y:2015:i:c:p:599-605
    DOI: 10.1016/j.renene.2014.08.066
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    References listed on IDEAS

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    1. Carneiro, Patrícia & Ferreira, Paula, 2012. "The economic, environmental and strategic value of biomass," Renewable Energy, Elsevier, vol. 44(C), pages 17-22.
    2. Naik, Satyanarayan & Goud, Vaibhav V. & Rout, Prasant K. & Jacobson, Kathlene & Dalai, Ajay K., 2010. "Characterization of Canadian biomass for alternative renewable biofuel," Renewable Energy, Elsevier, vol. 35(8), pages 1624-1631.
    3. Mata-Sánchez, J. & Pérez-Jiménez, J.A. & Díaz-Villanueva, M.J. & Serrano, A. & Núñez-Sánchez, N. & López-Giménez, F.J., 2014. "Development of olive stone quality system based on biofuel energetic parameters study," Renewable Energy, Elsevier, vol. 66(C), pages 251-256.
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    3. José Luis Fernández & Felicia Sáez & Eulogio Castro & Paloma Manzanares & Mercedes Ballesteros & María José Negro, 2019. "Determination of the Lignocellulosic Components of Olive Tree Pruning Biomass by Near Infrared Spectroscopy," Energies, MDPI, vol. 12(13), pages 1-10, June.
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    5. Sirisomboon, Panmanas & Posom, Jetsada, 2019. "On-line measurement of activation energy of ground bamboo using near infrared spectroscopy," Renewable Energy, Elsevier, vol. 133(C), pages 480-488.

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