TY  - JOUR
AU  - WANG, Lilei
AU  - YANG, Yanqin
AU  - XIE, Jialing
AU  - MIAO, Yiwen
AU  - WANG, Qiwei
AU  - JIANG, Yongwen
AU  - DENG, Yuliang
AU  - TONG, Huarong
AU  - YUAN, Haibo
PY  - 2024
TI  - Aroma Quality Evaluation of High-Quality and Quality-Deficient Black Tea by Electronic Nose Coupled with Gas Chromatography-Mass Spectrometry
JO  - Food Science
SN  - 1002-6630
SP  - 274
EP  - 282
VL  - 45
IS  - 2
AB  - According to the results of sensory evaluation performed by experts, 14 black tea samples were divided into two groups based on their aroma quality: high-quality and quality-deficient black tea. Using fast gas chromatography-electronicnose (GC-E-Nose) and gas chromatography-mass spectrometry (GC-MS) combined with multivariate statistical analysis, discriminant analysis of the two groups were carried out, and the key differential components between these groups were selected. The results showed that 117-dimensional dataset was obtained by the fusion of the GC-E-Nose (44-dimensional) and GC-MS (73-dimensional) data and used to establish a model for accurate classification of the two types of black tea employing orthogonal partial least squares-discriminant analysis (OPLS-DA). The model’s explanatory and predictive capacity (RY2 =0.976, Q2=0.959) were better than those of the model established based on the GC-E-Nose or GC-MS data. Based on variable important in projection (VIP) scores > 1.6 and P < 0.05, eight key aroma components including dimethyl sulfide (B3 and B25), β-ionone (A59), (3E)-4,8-dimethylnon-1,3,7-triene (A20), dihydroactinidiolide (A64), linalool (A17), phenylethyl alcohol (A19), δ-octyl lactone (A41) and γ-nonalatone (A45) were selected, which played an important role in the classification. These results showed that GC-E-Nose combined with GC-MS allows rapid and accurate discrimination between quality-deficient and high-quality black tea, which can be used as a supplement to traditional sensory evaluation, providing technical support for quality control and improvement of black tea.
UR  - https://doi.org/10.7506/spkx1002-6630-20230417-163
DO  - 10.7506/spkx1002-6630-20230417-163