Improving the whey protein foam structures by using novel acetylated triglycerides: A response surface methodology (RSM) approach

IF 1.9 4区 农林科学 Q3 CHEMISTRY, APPLIED Journal of the American Oil Chemists Society Pub Date : 2023-11-12 DOI:10.1002/aocs.12780
Eda Ceren Kaya, Dallas Johnson, Pamela Tamura, Timothy P. Durrett, Umut Yucel
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Abstract

Protein foams are common to foods, such as meringue, whipped cream and mousses. Stability is a challenging issue determined by fat and sugar content. We hypothesize that acetyl-triacylglycerols (acetyl-TAG) that possess sn-3 acetate group with high oleic content can provide stability to the foam at reduced sugar concentrations by increasing the surface viscosity and minimizing serum drainage. A fractional factorial Box-Wilson design was used to investigate the effects of whey protein concentration (WPI) (2–10 wt%), sucrose concentration (SC) (10–30 wt%) and acetyl-TAG concentration (ATC) (0–1 wt%) on overrun (FO), stability against serum drainage (FD) and surface dilatational rheology. Each response was analyzed by linear regression model fitting and a backward elimination algorithm for significance (α = 0.01). FO was significantly affected (p < 0.01) by WPI and ATC, but not sucrose concentration. The optimum overrun (nearly 700%) was obtained at 9 wt% WPI and 0.6 wt% ATC. Drainage and viscoelastic properties were significantly (p < 0.01) affected by all process variables. Dynamic complex modulus (|E|) as measured using an optical tensiometer was around 30–40 mN/m when acetyl-TAG was higher than 0.5 wt%. Our findings indicated that the acetyl-TAG can be used to enhance the stability of protein foams in reduced sugar food products, however, not at high sugar concentrations (30 wt%).

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使用新型乙酰化甘油三酯改善乳清蛋白泡沫结构:响应面方法学(RSM)方法
蛋白泡沫在蛋白酥皮、鲜奶油和慕斯等食品中很常见。稳定性是一个具有挑战性的问题,它取决于脂肪和糖的含量。我们假设乙酰基三酰甘油(acetyl-TAG)具有高油酸含量的 Sn-3 乙酸基团,可以通过增加表面粘度和最大限度地减少血清流失,在糖浓度降低的情况下为泡沫提供稳定性。研究人员采用分因子 Box-Wilson 设计研究了乳清蛋白浓度(WPI)(2-10 wt%)、蔗糖浓度(SC)(10-30 wt%)和乙酰-TAG 浓度(ATC)(0-1 wt%)对溢流(FO)、抗血清流失稳定性(FD)和表面扩张流变性的影响。通过线性回归模型拟合和反向消除算法分析了每个响应的显著性(α = 0.01)。FO 受 WPI 和 ATC 的影响较大(p < 0.01),但不受蔗糖浓度的影响。当 WPI 含量为 9 wt%、ATC 含量为 0.6 wt%时,可获得最佳的溢出率(接近 700%)。排水性和粘弹性受到所有工艺变量的显著影响(p < 0.01)。当乙酰基-TAG 的含量高于 0.5 wt%时,用光学拉伸计测量的动态复合模量(|E|)约为 30-40 mN/m。我们的研究结果表明,乙酰基-TAG 可用来增强减糖食品中蛋白质泡沫的稳定性,但在高糖浓度(30 wt%)下则不适用。
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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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