Monitoring oxidation changes in commercial extra virgin olive oils with fluorescence spectroscopy-based prototype

被引:31
作者
Mishra, Puneet [1 ]
Lleo, Lourdes [1 ]
Cuadrado, Teresa [1 ]
Ruiz-Altisent, Margarita [1 ]
Hernandez-Sanchez, Natalia [1 ]
机构
[1] Tech Univ Madrid, ETSIAAB, Phys Properties Lab & Adv Technol Agrifood LPF TA, Ave Puerta de Hierro 2-4, Madrid 28040, Spain
关键词
Extra virgin olive oil; Oxidation; Storage; Light exposure; VEGETABLE-OILS; QUALITY; STABILITY; COMPONENTS; STORAGE; CLASSIFICATION;
D O I
10.1007/s00217-017-2984-1
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Maintaining the quality of extra virgin olive oils (EVOOs) in the current globalised market is a key challenge for the olive oil manufacturers. To maintain the quality, one major factor is to resist its oxidation during processing and storage. Resisting the oxidation in EVOOs is a challenging task requiring control of different physical and chemical factors. However, rapid, real-time, and non-destructive monitoring the oxidation in EVOOs could support in maintaining its quality during storage. The present study utilises a novel right-angle fluorescence spectroscopy-based prototype for rapid monitoring of oxidation changes in three different EVOOs varieties (Arbequina, Picual, and Cornicabra) during storage. Furthermore, the effects of light exposure on oxidation of EVOOs were also studied. Two major changes in the fluorescence spectra of EVOO samples were mainly observed: a decrease in fluorescence emission intensity at 671 nm, and an increase in fluorescence intensities at 420, 440, 464, and 515 nm. These two changes were related to a decrease in chlorophyll content and parallel formation of oxidation products. The formation of oxidation products was found to have a linear relationship with the decrease in chlorophyll content. Out of the three, the Cornicabra variety showed the highest rate of oxidation changes. Furthermore, the EVOOs degraded rapidly when get exposed to light. In a fast and non-destructive manner, the fluorescence spectroscopy-based prototype successfully monitored the oxidation changes in the EVOOs.
引用
收藏
页码:565 / 575
页数:11
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