Song Jianxin, Liu Jiayi, Wang Kaile, Gao Lei, Wang Xiaodong, Peng Jian, Wang Ning
School of Functional Food and Wine Shenyang Pharmaceutical University Shenyang China.
School of Biological Science and Food Engineering Chuzhou University Chuzhou China.
Food Sci Nutr. 2024 May 6;12(7):4810-4818. doi: 10.1002/fsn3.4128. eCollection 2024 Jul.
Quinoa is a full-nutrition food; however, its poor flavor and small size make it not the best food option for direct consumption. In this study, a quinoa snack (QS, a cake) was developed, and the aroma profile of the products was improved by adding jujube fruit powder (made from dried jujube fruits, from 5% to 30%). Gas chromatography mass spectrum (GC-MS) combined with electronic nose (e-nose) was applied for characterizing the aroma profiles of QS samples. Results showed a total of 26 aroma compounds were identified in QS samples by GC-MS, and 3-methylbutanol (from 1525 μg/kg in QS-30 to 3487 μg/kg in QS-0), ethanol (from 1126 μg/kg in QS-0 to 3581 μg/kg in QS-30), hexanal (from 125.6 μg/kg in QS-30 to 984.1 μg/kg in QS-0), and acetaldehyde (from 531.9 μg/kg in QS-30 to 191.1 μg/kg in QS-0) were common. The e-nose response of W1S (sensitive to methane, from 17.50 of QS-0 to 93.85 of QS-30) and W1W (sensitive to sulfur-organic compounds of e-nose, from 15.57 of QS-0 to 39.50 of QS-30) were significantly higher, and significant differences were presented among QS samples. In conclusion, the aroma profile of the QS sample was significantly ( < .05) enhanced by the addition of jujube powder, and QS-30 with the highest jujube content (30%) presented the strongest aroma profile. Moreover, QS samples with different additions of jujube powders could be well distinguished by principal component analysis (PCA), and the combination of e-nose and GC-MS was effective in the volatile profile analysis of QS samples.
藜麦是一种营养全面的食物;然而,其不佳的风味和较小的颗粒使其并非直接食用的最佳食物选择。在本研究中,开发了一种藜麦零食(QS,一种蛋糕),并通过添加枣果粉(由干枣制成,添加量从5%到30%)改善了产品的香气特征。采用气相色谱 - 质谱联用(GC - MS)结合电子鼻(e - nose)对QS样品的香气特征进行表征。结果表明,通过GC - MS在QS样品中总共鉴定出26种香气化合物,3 - 甲基丁醇(从QS - 30中的1525μg/kg到QS - 0中的3487μg/kg)、乙醇(从QS - 0中的1126μg/kg到QS - 30中的3581μg/kg)、己醛(从QS - 30中的125.6μg/kg到QS - 0中的984.1μg/kg)和乙醛(从QS - 30中的531.9μg/kg到QS - 0中的191.1μg/kg)较为常见。W1S(对甲烷敏感,从QS - 0的17.50到QS - 30的93.85)和W1W(对电子鼻的有机硫化合物敏感,从QS - 0的15.57到QS - 30的39.50)的电子鼻响应显著更高,且QS样品之间存在显著差异。总之,添加枣粉显著(<0.05)增强了QS样品的香气特征,枣含量最高(30%)的QS - 30呈现出最强的香气特征。此外,通过主成分分析(PCA)可以很好地区分添加不同量枣粉的QS样品,并且电子鼻和GC - MS的组合在QS样品的挥发性成分分析中是有效的。