Application of near infrared spectroscopy to the quality control of citrus fruits and mango

This work has been partially funded by INIA through research projects RTA2012-00062-C04-01 and RTA2012-00062-C04-03 with the support of FEDER funds and by GVA through the project AICO/2015/122. S. Munera thanks INIA for the grant FPI-INIA #43 (CPR2014-0082) partially supported by FSE. V. Cortés thanks the MEC for the FPU grant FPU13/04202.Blasco Ivars, J.; Lorente Garrido, D.; Cortes-Lopez, V.; Talens Oliag, P.; Cubero-García, S.; Munera Picazo, SM.; Aleixos Borrás, MN. (2016). Application of near infrared spectroscopy to the quality control of citrus fruits and mango. NIR news. 27(7):4-7. https://doi.org/10.1255/nirn.163747277Aleixos, N., Blasco, J., Navarrón, F., & Moltó, E. (2002). Multispectral inspection of citrus in real-time using machine vision and digital signal processors. Computers and Electronics in Agriculture, 33(2), 121-137. doi:10.1016/s0168-1699(02)00002-9Lorente, D., Aleixos, N., Gómez-Sanchis, J., Cubero, S., García-Navarrete, O. L., & Blasco, J. (2011). Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment. Food and Bioprocess Technology, 5(4), 1121-1142. doi:10.1007/s11947-011-0725-1Magwaza, L. S., Opara, U. L., Nieuwoudt, H., Cronje, P. J. R., Saeys, W., & Nicolaï, B. (2011). NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review. Food and Bioprocess Technology, 5(2), 425-444. doi:10.1007/s11947-011-0697-1Lorente, D., Escandell-Montero, P., Cubero, S., Gómez-Sanchis, J., & Blasco, J. (2015). Visible–NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit. Journal of Food Engineering, 163, 17-24. doi:10.1016/j.jfoodeng.2015.04.010Cortés, V., Ortiz, C., Aleixos, N., Blasco, J., Cubero, S., & Talens, P. (2016). A new internal quality index for mango and its prediction by external visible and near-infrared reflection spectroscopy. Postharvest Biology and Technology, 118, 148-158. doi:10.1016/j.postharvbio.2016.04.01