Kovacs Zoltan, Bodor Zsanett, Zinia Zaukuu John-Lewis, Kaszab Timea, Bazar George, Tóth Tamás, Mohácsi-Farkas Csilla
Department of Measurement and Process Control, Faculty of Food Science, Szent István University, Somlói út 14-16, H-1118 Budapest, Hungary.
Department of Nutritional Science and Production Technology, Faculty of Agricultural and Environmental Sciences, Szent István University, Guba S. út 40, H-7400 Kaposvár, Hungary.
Foods. 2020 Oct 26;9(11):1539. doi: 10.3390/foods9111539.
Probiotic bacteria have been associated with a unique production of aroma compounds in fermented foods but rapid methods for discriminating between foods containing probiotic, moderately probiotic, or non-probiotic bacteria remain aloof. An electronic nose (e-nose) is a high-sensitivity instrument capable of non-invasive volatile measurements of foods. In our study, we applied the e-nose to differentiate probiotic, moderately probiotic, and non-probiotic bacteria strains at different fermentation time points (0th, 4th, and 11th) of milk fermentation. The pH of the changing milk medium was monitored with their corresponding increase in microbial cell counts. An e-nose with two gas chromatographic columns was used to develop classification models for the different bacteria groups and time points and to monitor the formation of the aromatic compounds during the fermentation process. Results of the e-nose showed good classification accuracy of the different bacteria groups at the 0th (74.44% for column 1 and 82.78% for column 2), the 4th (89.44% for column 1 and 92.22% for column 2), and the 11th (81.67% for column 1 and 81.67% for column 2) hour of fermentation. The loading vectors of the classification models showed the importance of some specific aroma compounds formed during the fermentation. Results show that aroma monitoring of the fermentation process with the e-nose is a promising and reliable analytical method for the rapid classification of bacteria strains according to their probiotic activity and for the monitoring of aroma changes during the fermentation process.
益生菌与发酵食品中独特的香气化合物生成有关,但区分含有益生菌、中度益生菌或非益生菌的食品的快速方法仍然缺乏。电子鼻是一种能够对食品进行非侵入式挥发性测量的高灵敏度仪器。在我们的研究中,我们应用电子鼻在牛奶发酵的不同时间点(第0、4和11小时)区分益生菌、中度益生菌和非益生菌菌株。监测变化的牛奶培养基的pH值以及相应的微生物细胞数量增加情况。使用带有两个气相色谱柱的电子鼻为不同细菌组和时间点建立分类模型,并监测发酵过程中芳香化合物的形成。电子鼻的结果显示,在发酵第0小时(第1列74.44%,第2列82.78%)、第4小时(第1列89.44%,第2列92.22%)和第11小时(第1列81.67%,第2列81.67%)时,对不同细菌组具有良好的分类准确性。分类模型的加载向量显示了发酵过程中形成的一些特定香气化合物的重要性。结果表明,用电子鼻监测发酵过程的香气是一种有前途且可靠的分析方法,可根据益生菌活性对细菌菌株进行快速分类,并监测发酵过程中的香气变化。