Zhu Yingdan, Chai Chengliang, Xue Yalin, Wang Yong, Duan Zhangqun
Institute of Cereal and Oil Science and Technology, Academy of National Food and Strategic Reserves Administration, Beijing 100037, China.
School of Chemical Engineering, The University of New South Wales, Sydney, NSW 2052, Australia.
Antioxidants (Basel). 2024 Feb 28;13(3):296. doi: 10.3390/antiox13030296.
The quality and stability of oil during thermal processing reflect the reactions in vegetable oil. The deterioration of the oil is close to the viscosity, fatty acid composition (FA), total polar compounds (TPC), etc. Carnosic acid (CA) is the main antioxidant component of rosemary extract; it is a natural and clean-label antioxidant that is allowed to be added to prolong oil processing and storage. To achieve a clear correlation of this situation, a novel stability evaluation model was used to predict the thermal degradation of rapeseed oil (RSO) with CA. The RSO with CA (200 mg/kg, 400 mg/kg, and 700 mg/kg), the -Butylhydroquinone (TBHQ, 200 mg/kg), and the fresh RSO (without additives) during thermal processing (180 ± 5 °C) were studied. The temperature dependency of viscosity fits well with the model ( ≥ 0.999). The parameter value in the model showed a decrease linearly with the processing time (, ≥ 0.965). The multiple linear regression analysis showed that the accuracy of the model in predicting viscosity was less than ±2 mPa·s, and the deviation% was less than ±10% in all the samples. After 32 h of thermal degradation, the addition of 700 mg/kg CA showed the lowest degradation rate (13.84%) of polyunsaturated fatty acids (PUFAs), and the TPC content was 26.00 ± 0.50%. The TPC showed a positive relationship with viscosity ( = 0.99, < 0.01), ( = 0.97, < 0.01), and effective carbon numbers (ECN, = 0.84, < 0.05). In conclusion, this study can make a potential prediction for the stability of RSO.
油脂在热加工过程中的质量和稳定性反映了植物油中的反应。油脂的劣化与粘度、脂肪酸组成(FA)、总极性化合物(TPC)等密切相关。迷迭香酸(CA)是迷迭香提取物的主要抗氧化成分;它是一种天然且符合清洁标签要求的抗氧化剂,被允许添加以延长油脂加工和储存时间。为了明确这种情况的相关性,使用了一种新型稳定性评估模型来预测添加CA的菜籽油(RSO)的热降解。研究了添加CA(200mg/kg、400mg/kg和700mg/kg)、叔丁基对苯二酚(TBHQ,200mg/kg)以及新鲜RSO(无添加剂)在热加工(180±5℃)过程中的情况。粘度的温度依赖性与模型拟合良好(≥0.999)。模型中的参数值随加工时间呈线性下降(,≥0.965)。多元线性回归分析表明,该模型预测粘度的准确性在所有样品中小于±2mPa·s,偏差%小于±10%。热降解32小时后,添加700mg/kg CA的多不饱和脂肪酸(PUFAs)降解率最低(13.84%),TPC含量为26.00±0.50%。TPC与粘度(=0.99,<0.01)、(=0.97,<0.01)和有效碳数(ECN,=0.84,<0.05)呈正相关。总之,本研究可为RSO的稳定性做出潜在预测。