化学
自动氧化
过氧化值
氧化磷酸化
过氧化物
化学计量学
气相色谱法
色谱法
油菜籽
小学(天文学)
气相色谱-质谱法
食品科学
有机化学
质谱法
生物化学
物理
天文
作者
Fang Cui,Min Liu,Xue Li,Du Wang,Fei Ma,Li Yu,HU Chun-di,Peiwu Li,Liangxiao Zhang
标识
DOI:10.1016/j.foodres.2023.113842
摘要
Oil autoxidation is an early process of food deterioration, monitoring oil oxidation is therefore of great significance to ensure food quality and safety. In this study, the detection method of the primary and secondary oxidative products was developed by gas chromatography ion mobility spectrometry (GC-IMS).The secondary oxidative products was analyzed by GC-IMS. Then, the relationship between peroxide values and the contents of secondary oxidative products was investigated by constructing a prediction model of peroxide value of rapeseed oil with the help of secondary oxidative products and chemometrics. The coefficient of determination Q2 of the model validation set is 0.96, and the RMSECV is 0.1570 g/100 g. These validation results indicated that secondary oxidative products could also reflect the content of the primary oxidative products. Moreover, 10 characteristic markers related to oxidative rancidity were identified for monitoring edible oil rancidity and oxidative stability.
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