Zhongguo youzhi (Jun 2024)
不同贮藏条件下水酶法牡丹籽油的 氧化稳定性与货架期预测Oxidation stability of peony seed oil extracted by aqueous enzymatic method under different storage conditions and its shelf life prediction
Abstract
旨在为水酶法牡丹籽油的品质控制提供理论依据，探究不同贮藏条件下水酶法牡丹籽油的氧化稳定性，并对其货架期进行预测。采用Schaal烘箱模拟加速氧化法，探究了抗氧化剂、包装材料、温度对牡丹籽油过氧化值的影响，并进行了氧化动力学分析，采用Arrhenius方程进行拟合，建立了水酶法牡丹籽油货架期预测模型。结果表明：不同抗氧化剂的抗氧化效果排序为0.01%柠檬酸+0.01%TBHQ＞0.02%TBHQ＞0.02%柠檬酸>0.2%γ-谷维素；包装材料的抗氧化效果排序为棕色PET瓶＞棕色玻璃瓶＞透明PET瓶＞透明玻璃瓶；随着温度升高，牡丹籽油的过氧化值明显增加；建立的货架期预测模型预测牡丹籽油在10、20、30 ℃下的货架期分别为117、77、51 d，其实测货架期分别为134、90、60 d。综上，使用抗氧化剂、避光、低温均能有效延缓水酶法牡丹籽油的氧化进程，建立的水酶法牡丹籽油货架期预测模型准确率良好。In order to provide theoretical basis for quality control of peony seed oil extracted by aqueous enzymatic method, the oxidative stability of peony seed oil extracted by aqueous enzymatic method under different storage conditions were studied, and its shelf life was predicted. The effect of antioxidants, packaging materials, and temperature on the peroxide value of peony seed oil was investigated by Schaal oven simulation accelerated oxidation method. An oxidation kinetics analysis was conducted, the Arrhenius theoretical equation was used for fitting, and a shelf life prediction model of peony seed oil extracted by aqueous enzymatic method was established. The results showed that 0.01% citric acid +0.01% TBHQ had the best antioxidant effect, followed by 0.02% TBHQ, 0.02% citric acid and 0.2% γ-oryzanol. Dark brown PET bottle had the best antioxidant effect, followed by dark brown glass bottle, transparent PET bottle, and transparent glass bottle. With the increase of temperature, the peroxide value of peony seed oil increased significantly. The established shelf life prediction model predicted that the shelf lives of peony seed oil at 10, 20 ℃ and 30 ℃ were 117, 77 d and 51 d, respectively, and its actual shelf lives were 134, 90 d and 60 d, respectively. In conclusion, the use of antioxidants, light avoidance, and low temperature can effectively delay the oxidation process of peony seed oil extracted by aqueous enzymatic method. The accuracy of the established shelf life prediction model for peony seed oil is good.
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