Description:
Background: Tea (Camellia sinensis L.O. Kuntze) is one of the most commonly consumed
beverages globally, with several beneficial health effects. The composition of leaves is affected
by different factors such as climate and tea cultivar.
Methods: In this study, the total phenolic, flavonoid, and tannin contents, and antioxidant
activities of eight cultivars of tea growing in Iran were determined. The epigallocatechin
gallate (EGCG) contents were measured by high-performance liquid chromatography (HPLC)
analysis. The Fourier-transform infrared (FT-IR) spectra were used to construct a supervised
pattern recognition model using a genetic algorithm-support vector machine (GA-SVM) for
the classification of cultivars.
Results: The results indicated a wide variation of total phenolic content (178.04 to 316.09 mg
gallic acid equivalents (GAE)/g extract). Also, the flavonoid contents ranged from 25.54 to 41.1
mg quercetin equivalents )QE(/g extract. All the samples had close tannin amounts (ranging
from 40.32 to 45.90 mg as tannic acid equivalent (TAE)/g extract). There was a significant
linear relationship among total phenolic and flavonoid contents and antioxidant properties.
The cultivars DN, PK2, and C.Y.9 had the highest content of phenolic and flavonoid content as
well as the best antioxidant activity. The EGCG contents were from 2.66 to 4.12%. The highest
amount of EGCG was found in cultivars 282, PK2, and C.Y.9. The discriminative region of FTIR spectra (1350-1650 cm-1) was selected using a GA-SVM. This model showed 100% sensitivity
and specificity for training and test sets.
Conclusion: The leaves’ phytochemical compositions and antioxidant effect are deeply
dependent on the type of tea cultivars. The cultivars PK2 and C.Y.9 can be considered richer
sources of polyphenols, especially EGCG. The eight different cultivars can be classified based
on chemical components using the recorded FT-IR spectra
URL:
http://103.158.96.210:88/web_repository/uploads/no_data.jpg
Type:
Journal
Document:
Diploma III Farmasi
Date:
23-06-2024
Author:
Fatemeh Yousefbeyk