Tanaka Takayoshi, Zhang Junhan, Isoya Shuntaro, Maeda Tatsuro, Hasegawa Kazuya, Araki Tetsuya
Graduate School of Agriculture and Life Sciences, University of Tokyo, Tokyo 113-003, Japan.
Department of Health and Dietetics, Teikyo Heisei University, Tokyo 170-8445, Japan.
Foods. 2025 Aug 6;14(15):2751. doi: 10.3390/foods14152751.
Cooked-rice aroma strongly affects consumer choice, yet the chemical traits distinguishing glutinous rice from normal-amylose japonica rice remain underexplored because earlier studies targeted only a few dozen volatiles using one-dimensional gas chromatography-mass spectrometry (GC-MS). In this study, four glutinous and seven normal Japanese cultivars were cooked under identical conditions, their headspace volatiles trapped with MonoTrap and qualitatively profiled by comprehensive GC × GC-TOFMS. The two-dimensional platform resolved 1924 peaks-about ten-fold previous coverage-and, together with hierarchical clustering, PCA, heatmap visualization and volcano plots, cleanly separated the starch classes (78.3% cumulative PCA variance; Euclidean distance > 140). Volcano plots highlighted 277 compounds enriched in the glutinous cultivars and 295 in Koshihikari, including 270 compounds that were not previously documented in rice. Normal cultivars were dominated by ethers, aldehydes, amines and other nitrogenous volatiles associated with grainy, grassy and toasty notes. Glutinous cultivars showed abundant ketones, furans, carboxylic acids, thiols, steroids, nitro compounds, pyrroles and diverse hydrocarbons and aromatics, yielding sweeter, fruitier and floral accents. These results expand the volatile library for japonica rice, provide molecular markers for flavor-oriented breeding and demonstrate the power of GC × GC-TOFMS coupled with chemometrics for grain aroma research.
米饭香气对消费者的选择有着强烈影响,但区分糯米和普通直链淀粉粳稻的化学特征仍未得到充分探索,因为早期研究仅使用一维气相色谱 - 质谱联用仪(GC - MS)针对几十种挥发性物质展开研究。在本研究中,四个糯米品种和七个日本普通品种在相同条件下蒸煮,其顶空挥发性物质用MonoTrap捕集,并通过全二维气相色谱 - 飞行时间质谱联用仪(GC×GC - TOFMS)进行定性分析。二维平台解析出1924个峰——约为之前覆盖范围的十倍——并且,结合层次聚类、主成分分析(PCA)、热图可视化和火山图,清晰地分离了淀粉类别(累积主成分分析方差为78.3%;欧氏距离>140)。火山图突出显示了在糯米品种中富集的277种化合物以及在越光米中富集的295种化合物,其中包括270种之前未在水稻中记录的化合物。普通品种以醚类、醛类、胺类和其他与颗粒感、草香和烤香相关的含氮挥发性物质为主。糯米品种则显示出丰富的酮类、呋喃类、羧酸类、硫醇类、甾体类、硝基化合物、吡咯类以及各种烃类和芳烃类物质,产生更甜、更果香和花香的风味。这些结果扩展了粳稻的挥发性物质库,为风味导向型育种提供了分子标记,并证明了GC×GC - TOFMS与化学计量学相结合在谷物香气研究中的强大作用。