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Oil accumulation in intact olive fruits measured by near infrared spectroscopy-acousto-optically tunable filter.

Authors :
Bellincontro A
Caruso G
Mencarelli F
Gucci R
Source :
Journal of the science of food and agriculture [J Sci Food Agric] 2013 Apr; Vol. 93 (6), pp. 1259-65. Date of Electronic Publication: 2012 Sep 28.
Publication Year :
2013

Abstract

Background: A field experiment was conducted to test the reliability of the near infrared spectroscopy (NIR)-acousto-optically tunable filter (AOTF) method to measure mesocarp oil content in vivo against nuclear magnetic resonance (NMR) determinations using three different olive cultivars at different stages of ripening.<br />Results: In the partial least squares model carried out for the cultivar 'Arbequina', the coefficient of determination in calibration (R(2)c) was 0.991, while the coefficient of determination in cross-validation (R(2)cv) was 0.979. For the cultivar 'Frantoio' the indexes were 0.982 and 0.971, respectively; while for the cultivar 'Leccino' R(2)c was 0.977 and R(2)cv was 0.965. Finally, for the combined model (sum of the three varieties) these indexes were 0.921 and 0.903, respectively. The residual predictive deviation (RPD) ratio was insufficient for the predictive model of cultivar 'Leccino' only (1.98), whereas in the other cases the RPD ratios were completely sufficient, within the estimation range over 2.5-3 (2.61 in the global model, and 4.23 in the cultivar 'Frantoio'), or in describing a large capacity with values greater than 5, as in the cultivar 'Arbequina' (9.58).<br />Conclusion: NIR-AOTF spectroscopy proved to be a novel, rapid and reliable method to monitor the oil accumulation process in intact olive fruits in the field. The innovative approach of coupling NIR and NMR technologies opens up new scenarios for determining the optimal time for harvesting olive trees to obtain maximum oil production.<br /> (© 2012 Society of Chemical Industry.)

Details

Language :
English
ISSN :
1097-0010
Volume :
93
Issue :
6
Database :
MEDLINE
Journal :
Journal of the science of food and agriculture
Publication Type :
Academic Journal
Accession number :
23023831
Full Text :
https://doi.org/10.1002/jsfa.5899