Stabilization of PUFA-Rich Mayonnaise Against Lipid Oxidation: A Review of the Last Three Decades of Research

IF 2.4 4区 农林科学 Q3 CHEMISTRY, APPLIED
Journal of the American Oil Chemists Society Pub Date : 2026-10-07 Epub Date: 2026-06-22 DOI:10.1002/aocs.70120
Sakhi Ghelichi, Betül Yesiltas, Charlotte Jacobsen
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引用次数: 0

Abstract

Mayonnaise, a widely consumed oil-in-water emulsion, is highly susceptible to lipid oxidation due to its high content of polyunsaturated fatty acids (PUFAs) and the presence of pro-oxidant factors such as low pH and iron from egg yolk. Over the past three decades, extensive research has focused on understanding oxidation mechanisms, analytical methods, and strategies to enhance oxidative stability of mayonnaise. This review synthesizes findings on key factors influencing oxidation, including environmental conditions, packaging, oil and emulsifier type, and antioxidant systems. Advanced analytical techniques such as headspace GC–MS, NMR, and imaging have improved monitoring of oxidation processes. Among antioxidants, EDTA remains the most effective due to its strong metal-chelating ability, while natural antioxidants and peptides show promise they require further validation. Emerging approaches include bioinformatics-driven peptide discovery, mathematical modeling for shelf-life prediction, and innovative delivery systems such as emulsions, gels, and encapsulation technologies to protect PUFA oils (e.g., omega-3). Future research should integrate AI-based predictive tools and molecular docking to develop clean-label, cost-effective solutions for oxidative stabilization. Overall, this review highlights progress and identifies knowledge gaps, emphasizing the need for multidisciplinary strategies to ensure the quality and shelf-life of PUFA-rich mayonnaise.

富含pufa的蛋黄酱抗脂质氧化的稳定性:近三十年研究综述
蛋黄酱是一种广泛食用的水包油乳液,由于其高含量的多不饱和脂肪酸(PUFAs)和促氧化因子(如低pH值和蛋黄中的铁)的存在,它极易受到脂质氧化的影响。在过去的三十年中,广泛的研究集中在了解氧化机制,分析方法和策略,以提高蛋黄酱的氧化稳定性。本文综述了影响氧化的主要因素,包括环境条件、包装、油脂和乳化剂类型以及抗氧化体系。先进的分析技术,如顶空气相色谱-质谱、核磁共振和成像,改善了氧化过程的监测。在抗氧化剂中,EDTA由于其强大的金属螯合能力而仍然是最有效的,而天然抗氧化剂和肽显示出希望,需要进一步验证。新兴的方法包括生物信息学驱动的肽发现,用于保质期预测的数学模型,以及创新的输送系统,如乳液,凝胶和封装技术,以保护PUFA油(例如omega-3)。未来的研究应该整合基于人工智能的预测工具和分子对接,以开发清洁标签、经济高效的氧化稳定解决方案。总的来说,这篇综述强调了进展并确定了知识差距,强调需要多学科策略来确保富含pufa的蛋黄酱的质量和保质期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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