کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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6396928 | 1330671 | 2013 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Evaluation of Chinese tea by the electronic nose and gas chromatography-mass spectrometry: Correlation with sensory properties and classification according to grade level Evaluation of Chinese tea by the electronic nose and gas chromatography-mass spectrometry: Correlation with sensory properties and classification according to grade level](/preview/png/6396928.png)
Flavor profiles of high, middle and low grades of Chinese green and black teas were comparatively analyzed by electronic nose, gas chromatography-mass spectrometry (GC-MS) and quantitative descriptive analysis (QDA) in this study. Sensory analysis showed marked differences among different grades of tea, demonstrating it agreed well with the market price in tea grade classification. The high grade of tea samples got the highest score of pleasant aroma properties (pure and persistent, malty, sweet, citrus, fruity, floral flavor, refreshing, and seaweed). A total of 37 volatile compounds in three grades of green and black teas were identified and hexanal, α-terpinol, methyl salicylate, geraniol, linalool and its oxides were the most abundant compounds in both varieties of Chinese tea. Differences in the composition of volatile components from three grades were observed. In general, high grade tea had more volatiles than low grade tea. The results of electronic nose indicated that it could clearly and rapidly distinguish the difference among different grade teas. The relationship between sensory profiles, the GC-MS data and electronic nose responses of different grades of Chinese green and black teas was modeled by partial least squares regression (PLSR).
⺠This work is a first study of sensory evaluation, volatile compounds and electronic nose responses of three grades of Chinese green and black teas at the same time. ⺠Tea grade can influence sensory profile and violate compounds of teas greatly. The teas quality grades could be separated successfully by electronic nose responses. ⺠The relationship between sensory profiles, the GC-MS data and electronic nose responses of different grades of teas was modeled by partial least squares regression.
Journal: Food Research International - Volume 53, Issue 2, October 2013, Pages 864-874