Enhanced Enzyme-assisted Aqueous Extraction of Polyphenols from Ficus auriculata Fruits: Optimization and Assessment of Bioactive Properties

Main Article Content

Pham Thi My Tien
Tran Chi Hai
Nguyen Thi Thanh Lam
Nguyen Minh Tam
Nguyen Ngoc Yen Nhi
Pham Thi Phuong Linh
Le Ngoc Nhu
Phan Van Man

Abstract

The Ficus auriculata fruit is not only a nutritionally valuable food but also a rich source of polyphenols, which contribute to cardiovascular health, cancer prevention, blood sugar regulation, and cholesterol reduction. This study aimed to optimize the extraction conditions for polyphenol-rich extracts from fig fruit using response surface methodology (RSM). The effects of enzyme concentration, solvent-to-solid ratio, and extraction time on total polyphenol content (TPC) were evaluated. The optimized conditions were determined to be an enzyme concentration of 0.74%, a solvent-to-solid ratio of 23:1 (mL/g), and an extraction time of 65 min. Under these conditions, the TPC in the extract reached 2.65 g GAE/100 g dry matter, closely aligning with the predicted value of 2.70 g GAE/100 g dry matter. Scanning electron microscopy (SEM) analysis confirmed significant structural modifications in enzyme-treated samples, indicating enhanced extraction efficiency. Furthermore, GC-MS profiling identified 13 bioactive compounds in the optimized extract, suggesting their potential role in antioxidant activity. These findings highlight the potential of F. auriculata fruit as a valuable source of natural polyphenols, supporting its application in functional foods and pharmaceutical formulations.

Article Details

How to Cite
Pham Thi My Tien, Tran Chi Hai, Nguyen Thi Thanh Lam, Nguyen Minh Tam, Nguyen Ngoc Yen Nhi, Pham Thi Phuong Linh, Le Ngoc Nhu, & Phan Van Man. (2025). Enhanced Enzyme-assisted Aqueous Extraction of Polyphenols from Ficus auriculata Fruits: Optimization and Assessment of Bioactive Properties. CURRENT APPLIED SCIENCE AND TECHNOLOGY, e0266748. https://doi.org/10.55003/cast.2025.266748
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Original Research Articles

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