Green Ultrasonic Extraction of High Stearic–High Oleic Sunflower Oil Using Isopropanol as Solvent

IF 2.4 4区 农林科学 Q3 CHEMISTRY, APPLIED
Journal of the American Oil Chemists Society Pub Date : 2026-06-09 Epub Date: 2026-04-07 DOI:10.1002/aocs.70080
Rikal Luis Ignacio, Guiotto Estefanía Nancy, Fernández María Belén, Rodríguez María Marcela, de Figueiredo Ana Karina
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Abstract

Ultrasound-assisted extraction (UAE) using absolute isopropanol (AIP) was evaluated as a sustainable alternative to hexane for the recovery of high stearic–high oleic (HSHO) sunflower oil. Process variables—ultrasonic amplitude, extraction time, and temperature—were optimized using response surface methodology to maximize total extract (TE) and oil fraction (OF) yields. Under optimal conditions (57% amplitude, 59 min, 36°C), UAE achieved 85% of the OF yield established by conventional Soxhlet extraction (8 h, n-hexane), with a substantially shorter processing time, while achieving a 36.29% TE yield (dry basis). TE and OF yields were approximately 11% higher than those obtained through mechanically stirred batch extraction under equivalent conditions, thereby demonstrating the beneficial role of ultrasound in enhancing extraction efficiency. Scanning electron microscopy revealed extensive cellular disruption in ultrasound-treated samples, consistent with enhanced mass transfer. No statistically appreciable trend was observed in the fatty acid profile across extraction methods. At the same time, oxidative stability was greater for absolute isopropanol-extracted oils, despite their lower tocopherol content in relation to Soxhlet/n-hexane extracted oil, indicating the possible co-extraction of other antioxidants. The combination of ultrasound and AIP provides a safe, renewable, and efficient approach for the industrial-scale production of specialty oils, thereby improving process efficiency and potentially enhancing nutritional quality.

Abstract Image

以异丙醇为溶剂绿色超声提取高硬脂-高油分向日葵油
研究了用绝对异丙醇(AIP)超声辅助萃取(UAE)法提取高硬脂-高油酸(HSHO)葵花籽油的可行性。利用响应面法对超声振幅、提取时间和温度等工艺变量进行优化,以最大限度地提高总萃取物(TE)和油分(OF)收率。在最佳条件下(57%振幅,59分钟,36°C), UAE达到了传统索氏提取(8小时,正己烷)的85%,处理时间大大缩短,同时达到36.29%的TE收率(干基)。在同等条件下,与机械搅拌分批提取相比,TE和OF的得率提高了约11%,可见超声在提高提取效率方面的有益作用。扫描电子显微镜显示,在超声处理的样品中广泛的细胞破坏,与增强的传质一致。不同提取方法的脂肪酸分布没有统计学上明显的变化趋势。与此同时,尽管绝对异丙醇萃取油的生育酚含量低于索氏/正己烷萃取油,但其氧化稳定性更高,这表明可能存在其他抗氧化剂的共同萃取。超声波和AIP的结合为特种油的工业规模生产提供了一种安全、可再生和高效的方法,从而提高了工艺效率,并有可能提高营养质量。
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来源期刊
CiteScore
4.10
自引率
5.00%
发文量
95
审稿时长
2.4 months
期刊介绍: The Journal of the American Oil Chemists’ Society (JAOCS) is an international peer-reviewed journal that publishes significant original scientific research and technological advances on fats, oils, oilseed proteins, and related materials through original research articles, invited reviews, short communications, and letters to the editor. We seek to publish reports that will significantly advance scientific understanding through hypothesis driven research, innovations, and important new information pertaining to analysis, properties, processing, products, and applications of these food and industrial resources. Breakthroughs in food science and technology, biotechnology (including genomics, biomechanisms, biocatalysis and bioprocessing), and industrial products and applications are particularly appropriate. JAOCS also considers reports on the lipid composition of new, unique, and traditional sources of lipids that definitively address a research hypothesis and advances scientific understanding. However, the genus and species of the source must be verified by appropriate means of classification. In addition, the GPS location of the harvested materials and seed or vegetative samples should be deposited in an accredited germplasm repository. Compositional data suitable for Original Research Articles must embody replicated estimate of tissue constituents, such as oil, protein, carbohydrate, fatty acid, phospholipid, tocopherol, sterol, and carotenoid compositions. Other components unique to the specific plant or animal source may be reported. Furthermore, lipid composition papers should incorporate elements of year­to­year, environmental, and/ or cultivar variations through use of appropriate statistical analyses.
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