Zhao Qiyan, Xi Jinzhong, Xu Dan, Jin Yamei, Wu Fengfeng, Tong Qunyi, Yin Yun, Xu Xueming
State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Department of Food Science and Technology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA.
Food Chem. 2022 Aug 15;385:132701. doi: 10.1016/j.foodchem.2022.132701. Epub 2022 Mar 14.
Japonica rice is widely planted in different regions of China. Rice of different geographical origins may have substantially different economic values. In this study, An untargeted metabolomics based approach using headspace solid-phase microextraction coupled to gas chromatography-mass spectrometry (HS-SPME/GC-MS) was applied to distinguish 27 japonica rice varieties originated from South, Northern and Northeastern China in raw and cooked form, respectively. Orthogonal partial least-squares discriminant analysis (OPLS-DA) models exhibited good geographic discrimination. Sixteen and twenty-two volatiles were selected as the discriminant markers in raw and cooked rice, respectively. However, only hexanal, 3,5-octadien-2-one and 2-butyl-2-octenal were selected both in raw and cooked rice. Markers in raw rice mainly involved in terpenes, lipoxygenases, indole, and shikimate and benzoic acid pathways. Markers in cooked rice were mainly derived from lipid oxidation. The results provided a deeper understanding of volatiles variation of rice in China from different geographic origins.
粳稻在中国不同地区广泛种植。不同地理来源的水稻可能具有显著不同的经济价值。在本研究中，采用基于非靶向代谢组学的方法，即顶空固相微萃取结合气相色谱-质谱联用技术（HS-SPME/GC-MS），分别对来自中国南方、北方和东北地区的27个粳稻品种的生米和熟米进行区分。正交偏最小二乘法判别分析（OPLS-DA）模型显示出良好的地理区分能力。分别选择了16种和22种挥发性物质作为生米和熟米的判别标志物。然而，只有己醛、3,5-辛二烯-2-酮和2-丁基-2-辛烯醛在生米和熟米中均被选中。生米中的标志物主要涉及萜类、脂氧合酶、吲哚以及莽草酸和苯甲酸途径。熟米中的标志物主要源自脂质氧化。该结果为深入了解中国不同地理来源水稻的挥发性物质变化提供了依据。
