Comparing characteristic aroma components of bead-shaped green teas from different regions using headspace solid-phase microextraction and gas chromatography-mass spectrometry/olfactometry combined with chemometrics

被引:33
作者
Liu, Panpan [1 ,2 ]
Zheng, Pengcheng [1 ]
Gong, Ziming [1 ]
Feng, Lin [1 ]
Gao, Shiwei [1 ]
Wang, Xueping [1 ]
Teng, Jing [1 ]
Zheng, Lin [1 ]
Liu, Zhonghua [2 ]
机构
[1] Hubei Acad Agr Sci, Inst Fruit & Tea, 10 South Lake Ave, Wuhan, Hubei, Peoples R China
[2] Hunan Agr Univ, Minist Educ, Key Lab Tea Sci, 1 Nongda Rd, Changsha, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Bead-shaped green tea; Volatile constituents; Key odorants; Gas chromatography-mass spectrometry; olfactometry; Chemometrics; OOLONG TEA; FLAVOR CHARACTERISTICS; VOLATILE COMPOSITION; CHEMICAL-COMPONENTS; CAMELLIA-SINENSIS; GC-OLFACTOMETRY; KEY ODORANTS; HS-SPME; QUALITY; SPECTROMETRY;
D O I
10.1007/s00217-020-03514-y
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
In this study, the aroma components of bead-shaped green teas were compared through headspace solid-phase microextraction (HS-SPME) and gas chromatography-mass spectrometry/olfactometry (GC-MS/O) coupled with chemometrics. A total of 62 volatile compounds were identified in 16 green tea samples. Notably, comparison of GC-MS/O and odour activity values (OAV) results revealed that nonanal, decanal, (E)-2-nonenal, beta-ionone, and 1-octen-3-one were the most powerful aroma-active compounds that contributed to the aroma profile of the bead-shaped green teas. Furthermore, multivariate statistical techniques (such as principal component analysis, partial least squares-discriminant analysis, and hierarchical cluster analysis) were used to characterise the bead-shaped green teas according to their geographical origin and the flavour characteristics of their volatile compounds. Additionally, the variable importance in the projection method was used to identify 20 volatile markers that could successfully distinguish bead-shaped green teas on the basis of three flavour characteristics. The results of the analysis revealed that HS-SPME and GC-MS/O coupled with chemometrics can provide an effective method for characterising and classifying bead-shaped green teas.
引用
收藏
页码:1703 / 1714
页数:12
相关论文
共 47 条
[1]   Flavor Characteristics of Seven Grades of Black Tea Produced in Turkey [J].
Alasalvar, Cesarettin ;
Topal, Bahar ;
Serpen, Arda ;
Bahar, Banu ;
Pelvan, Ebru ;
Gokmen, Vural .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2012, 60 (25) :6323-6332
[2]  
[Anonymous], 2018, 237762018 GBT
[3]   Aroma formation and dynamic changes during white tea processing [J].
Chen, Qincao ;
Zhu, Yin ;
Dai, Weidong ;
Lv, Haipeng ;
Mu, Bing ;
Li, Pengliang ;
Tan, Junfeng ;
Ni, Dejiang ;
Lin, Zhi .
FOOD CHEMISTRY, 2019, 274 :915-924
[4]   Density and viscosity correlation for several common fragrance and flavor esters [J].
Djojoputro, H ;
Ismadji, S .
JOURNAL OF CHEMICAL AND ENGINEERING DATA, 2005, 50 (02) :727-731
[5]  
Dutta D., 2016, SENSOR LETT, V14, P396, DOI DOI 10.1166/SL.2016.3558
[6]   Sensory attributes and antioxidant capacity of Maillard reaction products derived from xylose, cysteine and sunflower protein hydrolysate model system [J].
Eric, Karangwa ;
Raymond, Linda Virginie ;
Huang, Meigui ;
Cheserek, Maureen Jepkorir ;
Hayat, Khizar ;
Savio, Nshimiyimana Dominique ;
Amedee, Mukasa ;
Zhang, Xiaoming .
FOOD RESEARCH INTERNATIONAL, 2013, 54 (02) :1437-1447
[7]  
Erzheng Su, 2010, Food and Bioproducts Processing, V88, P83
[8]   Tea aroma formation from six model manufacturing processes [J].
Feng, Zhihui ;
Li, Yifan ;
Li, Ming ;
Wang, Yijun ;
Zhang, Liang ;
Wan, Xiaochun ;
Yang, Xiaogen .
FOOD CHEMISTRY, 2019, 285 :347-354
[9]   Characterization of the Key Odorants in a High-Grade Chinese Green Tea Beverage (Camellia sinensis; Jingshan cha) by Means of the Sensomics Approach and Elucidation of Odorant Changes in Tea Leaves Caused by the Tea Manufacturing Process [J].
Flaig, Mario ;
Qi, Sally ;
Wei, Guodong ;
Yang, Xiaogen ;
Schieberle, Peter .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2020, 68 (18) :5168-5179
[10]  
General Administration of Quality Supervision Inspection and Quarantine (AQSIQ) and the Standardization Administration of China (SAC), 2017, 144872017 GBT