Improvement of thermo-resistance and quality of soybean oil by blending with cold-pressed oils using simplex lattice mixture design

OCL Pub Date : 2022-01-01 DOI:10.1051/ocl/2022025
A. Benbouriche, Hayate Haddadi-Guemghar, M. Bachir-bey, L. Boulekbache‐Makhlouf, Samir Hadjal, L. Kouadri, Djamila Mehidi‐Terki, Morad Hamitri, Khodir Madani
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引用次数: 2

Abstract

Soybean oil is the most consumed oil worldwide due to its cheapness but presented a weak thermo-resistance due to its richness in poly-unsaturated fatty acids. This study aims to improve the thermo-stability of refined soybean oil by blending it with some cold-pressed oils. For this, cold-pressed and soybean oils were firstly characterized (K232, K270, acidity, peroxide value, iodine value, induction time, phenolic contents, and antioxidant activity). Then, binary blends of each cold-pressed oil (30%) with soybean oil (70%) were analyzed before and after heat treatment (170 °C for 10 h/day for 5 days) followed by the application of the simplex lattice mixture design in order to optimize the combination of the three best cold-pressed oils. The changes in fatty acid profiles were assessed by gas chromatography (GC-FID). The results revealed that soybean oil presented the best physicochemical traits, while cold-pressed oils expressed high levels of phenolic contents and antioxidant activities. From the six binary oil blends, soybean oil mixed with lentisk, sesame, or almond oils were selected for their best thermo-stability. The simplex lattice mixture design, applied for these three chosen oils, indicated that the combination of soybean oil (70%) with lentisk and sesame oils (17.7 and 12.3%, respectively) was considered the optimal blend that gives the maximal thermo-stability improvement to soybean oil. GC-FID analysis showed that fatty acids, particularly linoleic and linolenic acids, were more conserved after heat-treatment in optimal oils blend than soybean oil. This study clearly demonstrated that lentisk and sesame oils enhanced the thermo-resistance of soybean oil, and the findings of this study could be used as an integrated model in oil and fat industries.
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采用单点阵混合设计与冷榨油共混,提高大豆油的耐热性和品质
大豆油因其价格便宜而成为世界上消费最多的食用油,但由于其富含多不饱和脂肪酸而表现出较弱的耐热性。本研究旨在通过将精制大豆油与一些冷榨油混合来提高其热稳定性。为此,首先对冷榨油和大豆油进行了表征(K232、K270、酸度、过氧化值、碘值、诱导时间、酚类含量和抗氧化活性)。然后,对每种冷榨油(30%)与大豆油(70%)的二元共混物(170°C, 10 h/d,共5天)热处理前后进行分析,并应用单纯形点阵混合设计,以优化三种最佳冷榨油的组合。用气相色谱(GC-FID)分析脂肪酸谱的变化。结果表明,大豆油表现出最好的理化性状,而冷榨油表现出较高的酚类含量和抗氧化活性。从六种二元油混合物中,选择豆油与扁豆油、芝麻油或杏仁油混合,以获得最佳的热稳定性。结果表明,大豆油(70%)与香油(17.7%)和香油(12.3%)的配比最优,大豆油的热稳定性得到了最大的改善。GC-FID分析表明,脂肪酸,特别是亚油酸和亚麻酸,经过热处理后比豆油更保守。本研究清楚地证明了香油和香油增强了大豆油的耐热性,本研究结果可作为油脂行业的综合模型。
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OCL
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