NIR prediction of fruit moisture, free acidity and oil content in intact olives


  • José Antonio Cayuela Instituto de la Grasa (CSIC), Sevilla
  • José María García Instituto de la Grasa (CSIC), Sevilla
  • José María García Instituto de la Grasa (CSIC), Sevilla
  • Nuria Caliani Escuela Universitaria de Ingeniería Técnica Agrícola, Universidad de Sevilla
  • Nuria Caliani Escuela Universitaria de Ingeniería Técnica Agrícola, Universidad de Sevilla



Acidity, Oil, Olive, Moisture, NIR


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. Fruit moisture prediction models showed high accuracy.


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How to Cite

Cayuela JA, García JM, García JM, Caliani N, Caliani N. NIR prediction of fruit moisture, free acidity and oil content in intact olives. Grasas aceites [Internet]. 2009Jun.30 [cited 2024Apr.12];60(2):194-202. Available from: