揭示预测酯化棕榈基脂肪中油结合能力的物理特性

IF 1.9 4区 农林科学 Q3 CHEMISTRY, APPLIED
Melissa Abigail Marsh, Brennan Bean, Farnaz Maleky, Silvana Martini
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引用次数: 0

摘要

本文确定了一种可预测油脂结合能力(OBC)的酯化棕榈基脂肪(EIEPO)的物理特性。100% EIEPO 样品、用 50% 大豆油(SBO)稀释的 50% EIEPO 样品和用 80% SBO 稀释的 20% EIEPO 样品被用来测试饱和度对 OBC 的影响。所有样品均采用快速(6.4°C/min)或慢速(0.1°C/min)冷却速度结晶,并在使用或不使用高强度超声波(HIU;20 kHz)的情况下产生各种物理性质。结晶后,立即对样品的物理性质进行量化,包括晶体微观结构、固体脂肪含量(SFC)、粘弹性(G′、G″ 和 δ)、熔化行为、硬度和 OBC(离心法)。然后将样品在 22°C 和 5°C 温度下存放 48 小时,再次测量上述物理性质,并使用滤纸法(OBCp)对存放在 5°C 温度下的 OBC 样品进行额外测量。结果表明,可以通过改变物理特性来优化棕榈基脂肪的 OBC,这可以通过加工条件来实现。两种 OBC 测量值均与 SFC、硬度、δ 和焓显著相关。利用以下主要变量(SFC、硬度、峰值温度、焓和晶体数量)建立了一个模型来预测样品的 OBCc。这些结果表明,可以利用样品的 SFC、硬度、峰值温度、焓和晶体数量来预测 OBC,而且 SFC、硬度和焓是 OBC 的主要驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unveiling the physical properties predictive of oil binding capacity in an interesterified palm-based fat

Unveiling the physical properties predictive of oil binding capacity in an interesterified palm-based fat

Unveiling the physical properties predictive of oil binding capacity in an interesterified palm-based fat

This paper identifies physical properties of an interesterified palm-based fat (EIEPO) that predict oil binding capacity (OBC). A 100% EIEPO sample, 50% EIEPO sample diluted with 50% soybean oil (SBO), and a 20% EIEPO sample diluted with 80% SBO were used to test how saturation level impacts OBC. All samples were crystallized using either a fast (6.4°C/min) or slow (0.1°C/min) cooling rate as well as with or without the application of high-intensity ultrasound (HIU; 20 kHz) to generate a wide range of physical properties. Immediately after crystallization, the sample's physical properties, including crystal microstructure, solid fat content (SFC), viscoelasticity (G′, G″, and δ), melting behavior, hardness, and OBC (centrifuge method) were quantified. The samples were then stored for 48 h at 22 and 5°C and the aforementioned physical properties were measured again, with one additional measurement for the samples stored at 5°C—OBC using a filter paper method (OBCp). The results indicate that OBC can be optimized in a palm-based fat by modifying the physical properties which was achieved via the processing conditions. Both measurements of OBC were significantly correlated with SFC, hardness, δ, and enthalpy. A model was developed to predict a sample's OBCc using the following dominant variables—SFC, hardness, peak temperature, enthalpy, and the number of crystals. These results suggest that OBC can be predicted using a sample's SFC, hardness, peak temperature, enthalpy, and number of crystals and that SFC, hardness, and enthalpy are main drivers of OBC.

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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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