评估科特迪瓦不同品种芒果(Mangifera indica L.)仁油脂的成分、颜色和氧化稳定性

IF 1.9 4区 农林科学 Q3 CHEMISTRY, APPLIED
Alfred Kouakou Kouassi, Taofic Alabi, Mohamed Cissé, Giorgia Purcaro, Sabrina Moret, Erica Moret, Christophe Blecker, Sabine Danthine
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引用次数: 0

摘要

从象牙海岸北部收集了七颗科特迪瓦品种的芒果种子,即 Amelie、Kent、Keitt、Brooks、Palmer、Dadiani 和 Djakoumankoun,作为当地加工厂和当地市场的废弃物;然后迅速分离果核并晒干,以确保脂肪酶失活。本研究旨在阐明:(1) 所获果仁近似成分(蛋白质、灰分和脂肪含量)的变化;(2) 提取脂肪的特征,包括酸度、过氧化值、不皂化物、磷脂含量、碘值、脂肪酸(FA)和三酰甘油(TAG)成分、固醇含量、氧化稳定性、颜色和类胡萝卜素含量。研究发现,根据品种的不同,脂肪含量从 4.9% 到 9.6%(干物质)不等。无论品种如何,油酸(O,35.9%-47%)和硬脂酸(St,30.3%-48.3%)都是含量最高的脂肪酸。不过,在 TAG 成分方面也发现了很大的差异:主要是 StOSt(23.9%-45.9%)、StOO(15.5%-25.8%)和 StLSt(10.4%-12.5%)。通过多变量分析:主成分分析(PCA)和聚类分析(CA),根据七个品种的 FA、TAG 和甾醇含量对其进行了分类。根据其主要 FA 和 TAG,七个品种可分为四个群组:群组 I = 阿米莉,群组 II = 基特、帕尔默和肯特,群组 III = 布鲁克斯和达迪亚尼,群组 IV = 贾库曼昆。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of composition, color, and oxidative stability of mango (Mangifera indica L.) kernel fats from various Ivorian varieties

Seven mango seeds of Ivorian varieties, that is, Amelie, Kent, Keitt, Brooks, Palmer, Dadiani, and Djakoumankoun were collected from Northern Ivory Coast as wastes from local processing factories and local markets; their kernels were then quickly separated and sun-dried to ensure lipases inactivation. This study was carried out to elucidate (1) the variability in the proximate composition (protein, ash, and fat content) of the so-obtained kernels and (2) the characteristics of the extracted fat including acidity, peroxide value, unsaponifiable matters, phospholipid content, iodine value, fatty acid (FA), and triacylglycerol (TAG) composition, sterol content, oxidative stability, color, and carotenoid content. It was found that the fat content ranged from 4.9% to 9.6% (dry matter) depending on the variety. Whatever the variety, oleic (O, 35.9%–47%) and stearic acid (St, 30.3%–48.3%) were the most abundant FA. A wide range of variation in TAG composition was however observed: the major were StOSt (23.9%–45.9%), StOO (15.5%–25.8%), and StLSt (10.4%–12.5%). A classification of the seven varieties based on their FA, TAG, and sterol content, was established using multivariate analysis: principal component analysis (PCA) and cluster analysis (CA). According to their main FA and TAG, the seven varieties may be grouped into four clusters: cluster I = Amelie, cluster II = Keitt, Palmer, and Kent, cluster III = Brooks and Dadiani and, cluster IV = Djakoumankoun.

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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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