Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università degli Studi di Perugia , Via S. Costanzo, 06126 Perugia, Italy.
J Agric Food Chem. 2014 Apr 30;62(17):3813-22. doi: 10.1021/jf405753c. Epub 2014 Apr 22.
Response surface modeling (RSM) was used to optimize temperature and oxygen concentration during malaxation for obtaining high quality extra virgin olive oils (EVOOs). With this aim, those chemical variables closely related to EVOO quality, such as the phenolic and the volatile compounds, have been previously analyzed and selected. It is widely known that the presence of these substances in EVOOs is highly dependent on genetic, agronomic, and technological aspects. Based on these data, the two parameters were optimized during malaxation of olive pastes of four important Italian cultivars using some phenols and volatile compounds as markers; the optimal temperatures and oxygen levels, obtained by RSM, were as follows for each cultivar: 33.5 °C and 54 kPa of oxygen (Peranzana), 32 °C and 21.3 kPa (Ogliarola), 25 °C and 21.3 kPa (Coratina), and 33 °C and 21.3 kPa (Itrana). These results indicate the necessity to optimize these malaxing parameters for other olive cultivars.
响应面法(RSM)用于优化橄榄果渣压榨过程中的温度和氧气浓度,以获得高品质特级初榨橄榄油(EVOO)。为此,对与 EVOO 质量密切相关的化学变量(如酚类和挥发性化合物)进行了先前的分析和选择。众所周知,这些物质在 EVOO 中的存在高度依赖于遗传、农艺和技术方面。基于这些数据,使用一些酚类和挥发性化合物作为标志物,对四个意大利重要品种的橄榄糊进行了压榨过程中的两个参数优化;通过 RSM 获得的最佳温度和氧气水平如下:每个品种分别为 33.5°C 和 54 kPa 的氧气(佩兰扎纳)、32°C 和 21.3 kPa(奥利亚罗莱)、25°C 和 21.3 kPa(科拉蒂纳)以及 33°C 和 21.3 kPa(伊特拉纳)。这些结果表明,有必要针对其他橄榄品种优化这些压榨参数。