Đăng nhập
 
Tìm kiếm nâng cao
 
Tên bài báo
Tác giả
Năm xuất bản
Tóm tắt
Lĩnh vực
Phân loại
Số tạp chí
 

Bản tin định kỳ
Báo cáo thường niên
Tạp chí khoa học ĐHCT
Tạp chí tiếng anh ĐHCT
Tạp chí trong nước
Tạp chí quốc tế
Kỷ yếu HN trong nước
Kỷ yếu HN quốc tế
Book chapter
Tạp chí quốc tế 2023
Số tạp chí 22(2023) Trang: 341–349
Tạp chí: Acta Scientiarum Polonorum Technologia Alimentaria

Background. “Cẩm” rice bran has been considered a waste product; however, it possesses rich bioactive compounds. These compounds could be utilized to make value-added products, using microwave-assisted extraction.

Materials and methods. This study aimed to investigate and establish the kinetic extraction for “Cẩm” rice bran under different conditions of microwave-assisted extraction. Five levels of microwave power (90, 150, 300, 600, and 800 W) were used for extraction at a time range from 0 to 30 minutes. The extraction yield (%) and total phenolic compound (mg gallic acid equivalent per g, mgGAE/g) were determined. The experimental data were fitted with five empirical models to find the best fit model.

Results. The power of irradiation greatly influenced the extraction yield and phenolic compounds in rice bran extract. The fast rate of extraction was found at the initial stage (after 5 minutes of extraction), then remained unchanged or slightly declined. Among the five models, the first-order model showed the best fit between the actual and predicted data.

Conclusions. Based on the extraction rate constant from the first-order model, 500 W was considered the appropriate power level for extracting polyphenol from rice bran with a high yield of extraction and total polyphenol content. These conditions could be further optimized and upscaled for use in the food industry.

Keyword: microwave-assisted extraction, rice bran, polyphenol, antioxidant, waste

Các bài báo khác
Số tạp chí 5(2023) Trang: 219-235
Tạp chí: Journal of Applied and Numerical Optimization
Số tạp chí 35(2023) Trang:
Tạp chí: Livestock Research for Rural Development
Số tạp chí Nguyen Hoang Phuong et al(2023) Trang: 153-164
Tạp chí: Studies in Computational Intelligence


Vietnamese | English






 
 
Vui lòng chờ...