响应面优化超声辅助葵花籽油提取番茄红素OA
Response Surface Optimization of Ultrasound-Assisted Extraction of Lycopene in Combination with Sunflower Seed Oil
目的 本研究利用超声波技术辅助葵花籽油提取番茄酱中的番茄红素,优化提取工艺参数,并增强含有番茄红素的葵花籽油的抗氧化性能.方法 采用单因素试验与响应面优化实验设计方法,通过调整油脂种类、超声时间、超声温度、超声功率和料液比等提取工艺参数,确定番茄红素的最佳提取工艺条件.通过测定番茄红素提取率以及油脂酸价和过氧化值,评估提取工艺的效果.结果 最优工艺条件为液料比4.3mL/g、超声功率410 W、超声温度43℃、超声时间53 min,在该工艺条件下番茄红素的提取率为0.263 2 mg/g,与建立的模型预测值相符,获得的含番茄红素的葵花籽油具有显著增强的抗氧化性能.结论 番茄红素对葵花籽油具有一定的保护作用,能够延缓油脂酸价和过氧化值的增长趋势.本研究证实了超声波辅助葵花籽油提取番茄红素,不仅提高了番茄红素的提取率,同时显著提高了葵花籽油的抗氧化性能,这对食品工业具有重要意义.
Objective This study employs ultrasonic technology to assist the extraction of lycopene from tomato paste using sunflower seed oil,aiming to optimize the extraction process parameters and enhance the antioxidant properties of lycopene-enriched sunflower seed oil.Methods Single-factor experiments and response surface optimization experimental design methods were adopted.By adjusting extraction process parameters such as the type of oil,ultrasound time,ultrasound temperature,ultrasound power,and material-to-liquid ratio,the optimal extraction conditions for lycopene were determined.The effectiveness of the extraction process was evaluated by measuring the extraction rate of lycopene,the lipid acid value and peroxide value.Results Under the optimal process conditions(liquid-to-material ratio of 4.3 mL/g,ultrasonic power of 410 W,ultrasonic temperature of 43 ℃,and ultrasonic time of 53 min),the extraction rate of lycopene was 0.263 2 mg/g,which was consistent with the predicted value of the established model.The obtained sunflower seed oil containing lycopene has significantly enhanced antioxidant performance.Conclusion Lycopene has a certain protective effect on sunflower seed oil and can delay the increasing trend of the acid value and peroxide value of oils.This study confirms that ultrasound-assisted extraction of lycopene by sunflower seed oil not only improves the extraction rate of lycopene but also significantly enhances the antioxidant performance of sunflower seed oil,which is of great significance to the food industry.
高瑞萍;梁明艳;涂鸿阳
重庆工商大学食品科学与工程学院,重庆 400067||重庆市特色农产品加工储运工程技术研究中心,重庆 400067重庆工商大学食品科学与工程学院,重庆 400067||重庆市特色农产品加工储运工程技术研究中心,重庆 400067重庆工商大学食品科学与工程学院,重庆 400067||重庆市特色农产品加工储运工程技术研究中心,重庆 400067
轻工纺织
番茄红素葵花籽油超声波响应面氧化特性
lycopenesunflower seed oilultrasoundresponse surfaceoxidation characteristics
《重庆工商大学学报(自然科学版)》 2026 (3)
10-18,9
重庆市教委科技项目资助(KJQN202300837)重庆市教委科技项目资助(KJQN202100828)重庆工商大学青年项目(2152028)资助重庆工商大学高层次人才科研启动项目(2156009)重庆市研究生科研创新项目资助(YJSCXX2023211144).
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