Influence on the lipase concentration and substrate on the lipid profile and sensory characteristics of enzyme-modified cheese

IF 1.9 4区 农林科学 Q3 CHEMISTRY, APPLIED
Ignacio Vieitez, Marcelo Miraballes, Bruno Irigaray, Ana Claudia Ellis, Nicolás Callejas, Natalia Hodos, Andrea Cano, Melissa Romero, Gonzalo da Rosa, Adriana Gámbaro
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Abstract

Enzymatically modified cheeses (EMC) aim to achieve, in a shorter time frame, a composition and sensory characteristics akin to those of aged cheese. This study analyzed the lipid profile, composition, free fatty acid (FFA) content, and sensory attributes of EMC pastes with the objective of emulating the flavor profile of a red smear-ripened cheese (SR). Two different smear ripened cheeses were utilized as references: SR1, aged for 2–3 months, and SR2 aged for 10 months. Twelve formulations of EMC were prepared using a fatty medium moisture cheese corresponding to Mercosur's Danbo type cheese (MD) as sole base, with the addition of the two types of SR cheeses and enzymes including exopeptidase, endopeptidase, and lipase, with varying concentrations of the latter. The EMC formulations exhibited a different physicochemical composition compared to the SR cheeses, with higher moisture, ash content, lower fat, and protein content. The highest total FFA contents were found in formulations with SR2, followed by formulations with SR1. As the concentration of lipase increased in the formulations, a greater degree of lipolysis was observed. Sensory profile was not influenced by the concentration of lipase, but rather depended on the type of cheese used as the base. All EMC samples prepared with SR1 besides those prepared with SR2 as the base cheese and the highest concentration of lipase, exhibited sensory profiles more closely resembling that of lightly aged SR1. The enzymatic modification of cheeses proved to be a useful tool for generating sensory profiles similar to slightly aged SR cheese.

脂肪酶浓度和底物对酶修饰奶酪脂质特征和感官特性的影响
酶修饰奶酪(EMC)旨在在较短的时间内获得与陈年奶酪相似的成分和感官特征。本研究分析了EMC糊的脂质特征、组成、游离脂肪酸(FFA)含量和感官属性,目的是模拟红涂成熟奶酪(SR)的风味特征。两种不同的涂抹成熟奶酪作为参考:SR1,陈酿2-3个月,SR2陈酿10个月。以南方共同市场丹博型奶酪(MD)对应的脂肪介质水分奶酪为底物,加入两种SR奶酪和不同浓度的外肽酶、内肽酶和脂肪酶,制备了12种EMC配方。与SR奶酪相比,EMC配方具有不同的理化成分,具有较高的水分、灰分含量、较低的脂肪和蛋白质含量。总游离脂肪酸含量以SR2最高,SR1次之。随着配方中脂肪酶浓度的增加,观察到更大程度的脂解。感官特征不受脂肪酶浓度的影响,而是取决于用作基础的奶酪类型。除了以SR2为底奶酪和脂肪酶浓度最高的样品外,所有用SR1制备的EMC样品的感官特征都更接近于轻度陈化的SR1。奶酪的酶修饰被证明是一种有用的工具,可以产生类似于微陈化SR奶酪的感官轮廓。
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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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