Abstract

Background: Camellia sinensis is a plant whose leaves and buds are used to produce tea. With many medicinal activities already found, green tea has been consumed widely in the world. Methods: The subcritical water extraction (SWE) of epigallocatechin gallate (EGCG) from green tea leaves and the effect of the different extraction conditions are investigated by response surface methodology (RSM). Furthermore, the model of the extraction processes is reviewed for application at the industrial scale. Results: Based on the RSM data, the maximum yield of extraction is determined via optimizing different parameters of the extraction processes. Optimal conditions are as follows: extraction time of 6 min, extraction temperature at 120 °C, and a sample/solvent ratio of 1:40 g/mL. Under such conditions, the best yield of EGCG is 4.665%. Moreover, the model of the extraction processes, which can be utilized for industry scale purpose, indicates a good correlation with the experimental data. Conclusions: Overall, SWE is competent and environmental-friendly, and it is also a highly selective and fast method. SWE is a promising method to take the place of organic solvents used in the extraction of weak polar and even non-polar natural compounds. Further studies on the scale-up of the extraction processes are ongoing.

Highlights

  • Camellia sinensis is a perennial green tree that naturally grows in Asia

  • There were few investigations on the optimization of extraction of epigallocatechin gallate (EGCG) from green tea using subcritical water extraction (SWE) technology combined with response surface methodology (RSM)

  • Green tea (Camellia sinensis) leaves were obtained as a dry sample from Thai Nguyen province, Vietnam

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Summary

Methods

The subcritical water extraction (SWE) of epigallocatechin gallate (EGCG) from green tea leaves and the effect of the different extraction conditions are investigated by response surface methodology (RSM). The model of the extraction processes is reviewed for application at the industrial scale. Results: Based on the RSM data, the maximum yield of extraction is determined via optimizing different parameters of the extraction processes. Optimal conditions are as follows: extraction time of 6 min, extraction temperature at 120 ◦ C, and a sample/solvent ratio of 1:40 g/mL. Under such conditions, the best yield of EGCG is 4.665%. The model of the extraction processes, which can be utilized for industry scale purpose, indicates a good correlation with the experimental data.

Introduction
Plant Materials
Conventional Water Extraction
HPLC Analysis
Degradation Assays
Single-Factor Analysis
RSM Procedure
Modeling of the Extraction Process
Degradation Experimental Design
Single
Single Factor Analysis
Optimization of Extraction
Optimization of Extraction Using RSM
Extraction Method
Modeling Extraction Process
Method
Full Text
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