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A Novel Model for Evaluating the Natural Antioxidant Carnosic Acid to Improve the Stability of Rapeseed Oil in the Thermal Degradation
Antioxidants ( IF 6.0 ) Pub Date : 2024-02-28 , DOI: 10.3390/antiox13030296
Yingdan Zhu 1 , Chengliang Chai 1 , Yalin Xue 1 , Yong Wang 2 , Zhangqun Duan 1
Affiliation  

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 tert-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 Lioumbas model (R2 ≥ 0.999). The parameter b value in the Lioumbas model showed a decrease linearly with the processing time (tP, R2 ≥ 0.965). The multiple linear regression analysis showed that the accuracy of the model in predicting viscosity was less than ±2 mPa·s−1, 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 (r = 0.99, p < 0.01), tP (r = 0.97, p < 0.01), and effective carbon numbers (ECN, r = 0.84, p < 0.05). In conclusion, this study can make a potential prediction for the stability of RSO.

中文翻译:

评价天然抗氧化剂鼠尾草酸提高菜籽油热降解稳定性的新模型

热加工过程中油的质量和稳定性反映了植物油中的反应。油的变质与粘度、脂肪酸组成(FA)、总极性化合物(TPC)等密切相关。鼠尾草酸(CA)是迷迭香提取物的主要抗氧化成分;它是一种天然且清洁标签的抗氧化剂,可以添加以延长油的加工和储存时间。为了实现这种情况的清晰关联,我们使用了一种新颖的稳定性评估模型来预测菜籽油 (RSO) 与 CA 的热降解。热处理过程中含有 CA 的 RSO(200 mg/kg、400 mg/kg 和 700 mg/kg)、叔丁基氢醌(TBHQ,200 mg/kg)和新鲜 RSO(不含添加剂)(180 ± 5 °C)进行了研究。粘度的温度依赖性与 Lioumbas 模型非常吻合 (R2 ≥ 0.999)。Lioumbas模型中的参数b值随处理时间呈线性下降(tP,R2≥0.965)。多元线性回归分析表明,模型预测粘度的精度小于±2 mPa·s−1,所有样品的偏差%小于±10%。热降解32 h后,添加700 mg/kg CA的多不饱和脂肪酸(PUFA)降解率最低(13.84%),TPC含量为26.00±0.50%。TPC 与粘度 (r = 0.99,p < 0.01)、tP (r = 0.97,p < 0.01) 和有效碳数 (ECN,r = 0.84,p < 0.05) 呈正相关。总之,本研究可以对 RSO 的稳定性做出潜在的预测。
更新日期:2024-02-29
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