4.5 Article

Analysis of chemical components in green tea in relation with perceived quality, a case study with Longjing teas

Journal

INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
Volume 44, Issue 12, Pages 2476-2484

Publisher

WILEY
DOI: 10.1111/j.1365-2621.2009.02040.x

Keywords

Aroma; chemical analysis; colour; green tea; Longjing tea; perceived quality score; sensory evaluation; taste

Funding

  1. Ministry of Agriculture [3-35]

Ask authors/readers for more resources

P>Properties of leaf and infusion colours, chemical components and volatile flavour compounds of Longjing teas and their correlation with perceived quality score given by tea-tasting panel were analysed. The scores for appearance, infused leaves and for the Total Quality Score (TQS) negatively correlated with concentrations of chlorophyll-a (Chl-a), Chl-b and total chlorophyll (r = -0.723 to -0.846, P < 0.01). The perceived taste score positively correlated with the concentration of total free amino acid (r = 0.527, P < 0.05) and theanine (r = 0.511, P < 0.05), whereas the TQS positively correlated with total free amino acid (r = 0.533). The volatile composition and their quantities varied widely among Longjing tea samples. (E)-geraniol, linalool, hexanal, pentanal, heptanal, nonanal and jasmone were prevailing volatile compounds detected in all samples. Principal component analysis (PCA) screened twelve principal components with the first three explaining 18.82%, 15.31% and 11.83% of the total variance respectively. The concentrations of total free amino acids, pentanal and epigallocatechin gallate were with the highest component score coefficients for the first three principal components respectively. Regression analysis upon the twelve principal components formulated a prediction model on the TQS with 77.0% probability.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available