Departamento de Evaluación Sensorial de Alimentos (DESA), Instituto Superior Experimental de Tecnología Alimentaria (ISETA), Buenos Aires, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
J Food Sci. 2021 Mar;86(3):1033-1038. doi: 10.1111/1750-3841.15630. Epub 2021 Feb 13.
In this work, we determined optimum ripening time of hard cooked cheeses made by traditional technology or by an innovative process aimed at accelerating flavor formation. For that purpose, we applied survival analysis statistics. Experimental cheese making (E) included homogenization of milk fat, unpasteurized cheese milk, changes in cooking temperature, and a curd-washing step, while traditional cheese making (T) followed a classic hard-cooked cheese making. Cheeses were ripened for 215 days and samples were analyzed at 76, 112, 128, 152, and 215 days. Consumers (250) were recruited and divided into five groups of 50 consumers for each stage. At each sampling time, consumers assessed whether the sample was "under-ripe," "ok," or "over-ripe." Optimum ripening time could be estimated only for E cheeses, with a high percentage of rejection. For T cheeses, it was not possible to determine the optimum ripening time because the rejection by over-ripening was never reported. We verified consumer segmentation: a small percentage found E cheese under-ripe and a high percentage found it over-ripe. Many consumers qualified E cheeses as too spicy, especially at the end of ripening. Spicy flavor is usually perceived before than the texture and evidenced an acceleration of the flavor formation. We concluded that the innovative intervention in cheese making technology was successful in accelerating cheese ripening. It also had potential to develop a new cheese product targeted at consumers who chose/prefer good spicy flavor. PRACTICAL APPLICATION: Survival analysis is a useful methodology to determine the optimum ripening time of foods based on consumer data. In this work, it evidenced that the proposed innovative cheese making was successful in accelerating the formation of cheese flavor, and had the potential to develop a new cheese product targeted at consumers who chose/prefer good spicy flavor.
在这项工作中,我们确定了通过传统技术或旨在加速风味形成的创新工艺制作的硬煮奶酪的最佳成熟时间。为此,我们应用了生存分析统计。实验奶酪制作(E)包括牛奶脂肪的均化、未经巴氏杀菌的奶酪牛奶、烹饪温度的变化和洗涤凝乳步骤,而传统奶酪制作(T)则遵循经典的硬煮奶酪制作。奶酪成熟 215 天,样品在 76、112、128、152 和 215 天进行分析。招募了 250 名消费者,并将其分为五个组,每组 50 名消费者。在每个采样时间,消费者评估样本是否为“未成熟”、“可以”或“过熟”。仅对于 E 奶酪可以估计最佳成熟时间,因为拒绝率很高。对于 T 奶酪,无法确定最佳成熟时间,因为从未报告过因过熟而拒绝。我们验证了消费者细分:一小部分人认为 E 奶酪未成熟,而很大一部分人认为它过熟。许多消费者认为 E 奶酪太辣,尤其是在成熟末期。辛辣的味道通常在质地之前被感知,并证明了风味形成的加速。我们得出结论,奶酪制作技术的创新干预成功地加速了奶酪的成熟。它还有可能开发出针对选择/喜欢浓郁辛辣味的消费者的新型奶酪产品。实际应用:生存分析是一种基于消费者数据确定食品最佳成熟时间的有用方法。在这项工作中,它证明了所提出的创新奶酪制作成功地加速了奶酪风味的形成,并有可能开发出针对选择/喜欢浓郁辛辣味的消费者的新型奶酪产品。