Compositional Variability in Algerian Monocultivar Extra Virgin Olive Oils: A UPLC-DAD Approach to Fatty Acid Profiling Across Regions, Cultivars, and Seasons

IF 2.4 4区 农林科学 Q3 CHEMISTRY, APPLIED
Journal of the American Oil Chemists Society Pub Date : 2026-08-06 Epub Date: 2026-05-05 DOI:10.1002/aocs.70094
Ala Abdessemed, Fatima Zohra Issaad, Khalid Bouhedjar, Hani Bouyahmed, Karima Ouffroukh, Mouna Derdour, Boumechhour Abdenour, Abou-Mustapha Mohamed
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引用次数: 0

Abstract

This study reports a comprehensive assessment of the fatty acid composition in Algerian Monocultivar Extra Virgin Olive Oils (MEVOOs) using a fully validated, derivatization-free ultra-performance liquid chromatography coupled with diode-array detection (UPLC-DAD) method. A total of 45 MEVOO samples, collected from contrasting agroclimatic regions of Algeria, were analyzed over two consecutive harvest seasons to investigate the effects of cultivar, geographical origin, and seasonal variability. Oleic acid (C18:1 n-9) was the predominant fatty acid (43.53%–72.88%), confirming the generally favorable nutritional profile of Algerian MEVOOs. However, oils originating from arid regions exhibited notable deviations from International Olive Council (IOC) and European Union (EU) standards, particularly elevated stearic and linolenic acid contents, which are likely associated with thermal and water stress. The UPLC-DAD method demonstrated excellent selectivity, linearity (R2 ≥ 0.97), precision (RSD < 5%), accuracy (92%–105%), and low limits of detection and quantification. Multivariate statistical analyses highlighted strong biosynthetic trade-offs between saturated and monounsaturated fatty acids. These findings support the suitability of the UPLC-DAD method as a robust analytical tool for routine quality control and provide valuable insights for the development of region-specific quality benchmarks for Algerian olive oils.

阿尔及利亚单一品种特级初榨橄榄油的成分变异性:跨地区、品种和季节脂肪酸谱的UPLC-DAD方法
本研究报告了一种全面评估阿尔及利亚单品种特级初榨橄榄油(MEVOOs)脂肪酸组成的方法,该方法使用了一种完全验证的、无衍生化的超高效液相色谱结合二极管阵列检测(UPLC-DAD)方法。从阿尔及利亚不同的农业气候区收集的总共45份MEVOO样本在连续两个收获季节进行了分析,以调查品种、地理来源和季节变化的影响。油酸(C18:1 n-9)是主要的脂肪酸(43.53% ~ 72.88%),证实了阿尔及利亚mevos的总体营养状况良好。然而,来自干旱地区的油品明显偏离国际橄榄理事会(IOC)和欧盟(EU)标准,特别是硬脂酸和亚麻酸含量升高,这可能与热胁迫和水分胁迫有关。UPLC-DAD方法具有良好的选择性、线性度(R2≥0.97)、精密度(RSD < 5%)、准确度(92% ~ 105%)、低检出限和定量限。多元统计分析强调了饱和脂肪酸和单不饱和脂肪酸之间强烈的生物合成权衡。这些发现支持UPLC-DAD方法作为常规质量控制的强大分析工具的适用性,并为制定阿尔及利亚橄榄油的区域特定质量基准提供了有价值的见解。
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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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