Université Paris-Saclay, INRAE, AgroParisTech, UMR SayFood, 91300 Massy, France.
Université Paris-Saclay, INRAE, AgroParisTech, UMR SayFood, 91300 Massy, France.
Food Res Int. 2020 Jun;132:109087. doi: 10.1016/j.foodres.2020.109087. Epub 2020 Feb 8.
This study presents a novel strategy for the dynamic analysis of volatile compounds extracted from baking vapors using a fit-for-purpose model cake. This model imitates a real sponge cake in terms of structure and processing but it is not reactive towards Maillard and caramelization reactions. When implemented with precursors (glucose (G) or glucose + leucine (G + L)), the reactions are activated and volatile markers can be monitored dynamically during baking. A method for the on-line sampling of vapors during baking using sorbent tubes coupled to thermal desorption (TD-GC-MS) has been developed and proven to be an appropriate and rapid technique to analyze a large number of volatile compounds within a broad range of physical and chemical characteristics. Volatile markers such as acetic acid, furfural, furfuryl alcohol and 5-hydroxymethylfurfual were identified using both models: glucose (G) and glucose + leucine (G + L) because they arise from both caramelization and the Maillard reaction. On the other hand, 3-methylbutanal and 2,5-dimethylpyrazine were only identified in the (G + L) model cake as they arise from the Strecker degradation pathway induced by the presence of leucine. Moreover, the relative abundance of all markers of reactions covers a broad range. On-line sampling coupled to TD-GC-MS enabled the collection of kinetic data on these markers throughout the baking operation and discrimination of the two formulas (G vs G + L) and two baking temperatures (170 °C and 200 °C) used. These results offer promise for the further use of this approach to study reaction kinetics in model cakes.
本研究提出了一种新的策略,用于使用适合目的的模型蛋糕对烘焙蒸汽中提取的挥发性化合物进行动态分析。该模型在结构和加工方面模仿了真实的海绵蛋糕,但它不对美拉德和焦糖反应有反应。当与前体(葡萄糖(G)或葡萄糖+亮氨酸(G+L))一起使用时,反应被激活,可以在烘焙过程中动态监测挥发性标志物。已经开发出一种使用吸附管在线采样烘焙过程中蒸汽的方法(TD-GC-MS),并已证明该方法是一种合适且快速的技术,可以分析大量具有广泛物理和化学特性的挥发性化合物。使用两种模型(葡萄糖(G)和葡萄糖+亮氨酸(G+L))鉴定了挥发性标志物,如乙酸、糠醛、糠醇和 5-羟甲基糠醛,因为它们既来自焦糖反应,也来自美拉德反应。另一方面,由于亮氨酸的存在诱导了斯特雷克降解途径,只有在(G+L)模型蛋糕中才鉴定出 3-甲基丁醛和 2,5-二甲基吡嗪。此外,所有反应标志物的相对丰度都涵盖了很宽的范围。在线采样与 TD-GC-MS 相结合,使我们能够在整个烘焙过程中收集这些标志物的动力学数据,并区分两种配方(G 与 G+L)和两种烘焙温度(170°C 和 200°C)。这些结果为进一步使用这种方法研究模型蛋糕中的反应动力学提供了希望。