Hu Wenwen, Wang Gege, Lin Shunxian, Liu Zhijun, Wang Peng, Li Jiayu, Zhang Qi, He Haibin
Key Laboratory of Agroecological Processing and Safety Monitoring of Fujian Province, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
College of Tea and Food Science, Wuyi University, Wuyishan 353400, China.
Foods. 2022 Jul 25;11(15):2204. doi: 10.3390/foods11152204.
Aroma is one of the most important quality indicators of tea. However, this evaluation method is a subjective one. In this study, the volatiles of tea with 5 types were determined by headspace solid-phase micro-extraction (HS-SPME) combined with gas chromatography mass spectrometry (GC-MS). The aroma intensity and odor characteristics of teas were comparatively analyzed based on the OAV-splitting method. The results showed that OAV were green tea (492.02), red tea (471.88), oolong tea (302.74), white tea (68.10), and dark tea (55.98). The odor index I(o) indicated that green tea was strong-flavor tea with highlight green accompanied by fruity, woody and fatty odors; oolong tea was strong-flavor tea with fruity and fatty accompanied by woody, floral and green odors; red tea was strong-flavor tea with highlight fruity accompanied by woody, green and floral odors; white tea was a light-flavor tea with floral, woody and green odors; and dark tea was light-flavor tea with woody and floral notes accompanied by fatty and green odors. These results fitted perfectly with the people's consensus on these teas, and proved that the OAV-splitting method is feasible to evaluate the aroma intensity and odor characteristics of tea aroma. We suggest that the digital evaluation of tea aroma can facilitate people's communication.
香气是茶叶最重要的品质指标之一。然而,这种评价方法是主观的。在本研究中,采用顶空固相微萃取(HS-SPME)结合气相色谱-质谱联用(GC-MS)技术测定了5种茶叶的挥发性成分。基于气味活度值(OAV)拆分法对茶叶的香气强度和气味特征进行了比较分析。结果表明,5种茶叶的OAV分别为:绿茶(492.02)、红茶(471.88)、乌龙茶(302.74)、白茶(68.10)和黑茶(55.98)。气味指数I(o)表明,绿茶为高香茶,以突出的青香为主,伴有果香、木香和脂香;乌龙茶为高香茶,以果香和脂香为主,伴有木香、花香和青香;红茶为高香茶,以突出的果香为主,伴有木香、青香和花香;白茶为低香茶,以花香、木香和青香为主;黑茶为低香茶,以木香和花香为主,伴有脂香和青香。这些结果与人们对这些茶叶的共识完全吻合,证明了OAV拆分法用于评价茶叶香气强度和气味特征是可行的。我们建议茶叶香气的数字化评价可以促进人们的交流。