Centre des Sciences du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, F-21000 Dijon, France.
CNRS, INRAE, PROBE Research Infrastructure, ChemoSens Facility, F-21000 Dijon, France.
Molecules. 2024 Jul 20;29(14):3412. doi: 10.3390/molecules29143412.
The quality of a cheese is determined by the balance of aroma compounds primarily produced by microorganisms during the transformation of milk into ripened cheese. The microorganisms, along with the technological parameters used in cheese production, influence aroma formation. The perception of these compounds is further influenced by the composition and structure of the cheese. This study aimed to characterize how cheese composition affects aroma compound production, release, and perception. Sixteen cheeses were produced under controlled conditions, followed by a quantitative descriptive analysis post ripening. Aroma composition was analyzed using HS-SPME-GC-MS, and a dynamic sensory evaluation (TCATA) was combined with nosespace analysis using PTR-ToF-MS. Image analysis was also conducted to characterize cheese structure. Cheese fat and whey lactose contents were identified as key factors in the variability of sensory attributes. GC-MS analyses identified 27 compounds correlated with sensory attributes. In terms of aroma compound release, 23 ions were monitored, with fat, salt, and lactose levels significantly affecting the release of most compounds. Therefore, cheese fat, salt, and whey lactose levels, as well as the types of microbial strains, play a role in influencing the composition, structure, release of aroma compounds, and sensory perception.
奶酪的质量取决于香气化合物的平衡,这些化合物主要是在牛奶转化为成熟奶酪的过程中由微生物产生的。微生物以及奶酪生产中使用的技术参数会影响香气的形成。这些化合物的感知还受到奶酪的组成和结构的影响。本研究旨在描述奶酪组成如何影响香气化合物的产生、释放和感知。在控制条件下生产了 16 种奶酪,然后在成熟后进行定量描述性分析。使用 HS-SPME-GC-MS 分析香气成分,并结合 PTR-ToF-MS 进行动态感官评估(TCATA)和鼻腔分析。还进行了图像分析以表征奶酪结构。奶酪脂肪和乳清乳糖含量被确定为感官属性变化的关键因素。GC-MS 分析鉴定出 27 种与感官属性相关的化合物。就香气化合物的释放而言,监测到 23 个离子,脂肪、盐和乳糖水平显著影响大多数化合物的释放。因此,奶酪脂肪、盐和乳清乳糖水平以及微生物菌株的类型在影响香气化合物的组成、结构、释放和感官感知方面发挥作用。