TY  - JOUR
AU  - BI, Wanjun
AU  - ZHENG, Yucheng
AU  - LIU, Zhenzhang
AU  - CHEN, Bin
AU  - DENG, Huili
AU  - HU, Qingcai
AU  - SUN, Yun
PY  - 2022
TI  - Optimization of an Automatic Thermal Desorption-Gas Chromatography-Mass Spectrometry Detection Method for Oolong Tea and Analysis of Aroma Components in Different Grades of Rougui Oolong Tea
JO  - Food Science
SN  - 1002-6630
SP  - 243
EP  - 251
VL  - 43
IS  - 12
AB  - An automatic thermal desorption-gas chromatography-mass spectrometry (ATD-GC-MS) method was developed, optimized and applied in combination with chemometrics for the detection of the aroma components of three different grades (superfine, grade A and grade B) of Rougui oolong tea. In automatic thermal desorption, the operating parameters adsorption temperature, adsorption time and cold trap temperature were optimized by single factor experiments and response surface methodology. The optimal parameters were determined as follows: adsorption temperature of 55 ℃, adsorption time of 37 min and cold trap temperature of -29 ℃. A total of 173 aroma components were identified, 90 of which were common to all the three grades. In addition, a partial least squares discriminant analysis (PLS-DA) model to distinguish the different grades of Rougui oolong tea was established based on the peak areas of the aroma components of Rougui oolong tea. and the distribution of 47 characteristic aroma components in the three different grades of Rougui oolong tea was discussed by hierarchical cluster analysis. The results of this study could provide a theoretical basis for the identification of the aroma quality and grade of Rougui oolong tea.
UR  - https://doi.org/10.7506/spkx1002-6630-20210729-344
DO  - 10.7506/spkx1002-6630-20210729-344