首页> 外文期刊>Grasas y Aceites: International Journal of Fats and Oils >NIR prediction of fruit moisture, free acidity and oil content in intact olives.
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NIR prediction of fruit moisture, free acidity and oil content in intact olives.

机译:NIR预测完整橄榄中水果的水分,游离酸度和油含量。

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摘要

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.
机译:在这项工作中,已经研究了通过使用近红外光谱仪(NIRS)直接测量水果来预测橄榄果实和初榨橄榄油的质量参数,并评估了便携式光谱仪的有效性。使用各个橄榄果实的己烷-异丙醇萃取和橄榄酱的索氏萃取法开发了模型和校准测试。分析的参数是橄榄油中的游离酸度,物理提取的油收率,含油量(指鲜重),含油量(指干物质和水果水分)。结果表明两种方法均具有良好的预测潜力,并通过扩大标定来鼓励改进所获得模型。水果水分预测模型显示出较高的准确性。

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