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HERO ID
1612389
Reference Type
Journal Article
Title
NIR prediction of fruit moisture, free acidity and oil content in intact olives
Author(s)
Antonio Cayuela, J; Maria Garcia, J; Caliani, N
Year
2009
Is Peer Reviewed?
1
Journal
Grasas y Aceites
ISSN:
0017-3495
EISSN:
1988-4214
Publisher
CONSEJO SUPERIOR INVESTIGACIONES CIENTIFICAS-CSIC
Location
MADRID
Volume
60
Issue
2
Page Numbers
194-202
Language
English
DOI
10.3989/gya.097308
Web of Science Id
WOS:000266714400012
Abstract
In this work, the prediction of olive fruit and virgin
olive oil quality parameters through the direct measuring of the fruit using near infrared
spectrometry (NIRS) has been investigated and the effectiveness of a portable spectrometer has
been assessed. Models and calibration tests were developed using both the hexane-isopropanol
extraction of individual olive fruits, and the Soxhlet extraction of olive paste. The parameters
analyzed were the free acidity in olive oil, oil yield from physical extraction, oil content
referring to fresh weight, oil content referring to dry matter and fruit moisture. The results
indicate a good predictive potential with both methodologies and serve to encourage improvement
in the obtained models through the enlargement of the calibrations.
Keywords
Acidity; Oil; Olive; Moisture; NIR
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