Jin Wengang, Zhao Shibo, Sun Haiyan, Pei Jinjin, Gao Ruichang, Jiang Pengfei
Qinba State Key Laboratory of Biological Resource and Ecological Environament (Incubation), School of Bioscience and Technology, Shaanxi University of Technology , Hanzhong, Shaanxi 723001, China.
Collaborative Innovation Center of Bio-Resource in Qinba Mountain Area, Shaanxi Province Key Laboratory of Bio-resources, Hanzhong, Shaanxi 723001, China.
Curr Res Food Sci. 2023 Aug 30;7:100583. doi: 10.1016/j.crfs.2023.100583. eCollection 2023.
Changes in flavor volatiles of three colored wheat grains (black, green, and yellow) after cooking were detected via gas chromatography-ion migration spectrometry (GC-IMS) to explore corresponding volatile flavor traits. A total of 52 volatile chemicals were spotted among these cooked wheat grains, including 30 aldehydes (accounting for 73.86-83.78%), 11 ketones (9.53-16.98%), 3 alcohols (0.88-1.21%), 4 furans (4.82-7.44%), 2 esters (0.28-0.42%), and 2 pyrazines (0.18-0.32%). Aldehydes, ketones, and furans were the main volatile compounds in three different cooked wheat. For black-colored wheat, the relative contents of benzene acetaldehyde, benzaldehyde, 2-methyl butanal, and 3-methyl butanal were much higher (p < 0.05). For green-colored wheat, the relative contents of nonanal, 2-pentyl furan, ()-hept-2-enal, 2-butanone, and acetone were significantly higher ( < 0.05). For yellow-colored wheat, the relative amounts of heptanal, hexanal, and pentanal were much higher ( < 0.05). The overall volatile substances of the three cooked wheat grains might be classified by GC-IMS data coupled with principal component analysis and heatmap clustering analysis. A reliable forecast set was established through orthogonal partial least squares-discriminant analysis (OPLS-DA), and 22 differential volatile compounds were screened out based on variable importance in projection (VIP) being higher than 1.0, as flavor markers for distinguishing the three cooked wheat grains. These results suggest that GC-IMS could be used for characterizing the flavor volatiles of different colored wheat, and the findings could contribute certain information for understand the aroma traits in different colored cooked wheat and related products in the future.
通过气相色谱-离子迁移谱(GC-IMS)检测了三种有色小麦籽粒(黑色、绿色和黄色)蒸煮后的风味挥发物变化,以探究其相应的挥发性风味特征。在这些蒸煮后的小麦籽粒中共检测到52种挥发性化学物质,其中包括30种醛类(占73.86-83.78%)、11种酮类(9.53-16.98%)、3种醇类(0.88-1.21%)、4种呋喃类(4.82-7.44%)、2种酯类(0.28-0.42%)和2种吡嗪类(0.18-0.32%)。醛类、酮类和呋喃类是三种不同蒸煮小麦中的主要挥发性化合物。对于黑色小麦,苯乙醛、苯甲醛、2-甲基丁醛和3-甲基丁醛的相对含量更高(p < 0.05)。对于绿色小麦,壬醛、2-戊基呋喃、()-庚-2-烯醛、2-丁酮和丙酮的相对含量显著更高(< 0.05)。对于黄色小麦,庚醛、己醛和戊醛的相对含量更高(< 0.05)。结合主成分分析和热图聚类分析,利用GC-IMS数据对三种蒸煮小麦籽粒的整体挥发性物质进行了分类。通过正交偏最小二乘法判别分析(OPLS-DA)建立了可靠的预测集,并基于投影变量重要性(VIP)高于1.0筛选出22种差异挥发性化合物,作为区分三种蒸煮小麦籽粒的风味标志物。这些结果表明,GC-IMS可用于表征不同颜色小麦的风味挥发物,研究结果可为今后了解不同颜色蒸煮小麦及相关产品的香气特征提供一定信息。