Optimization of Extraction Condition of Bee Pollen Using Response Surface Methodology: Correlation between Anti-Melanogenesis, Antioxidant Activity, and Phenolic ContentReportar como inadecuado




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1

College of Pharmacy, Chungbuk National University, Cheongju, Chungbuk 28644, Korea

2

National Academy of Agricultural Science, Rural Development Administration, Jeonju, Chonbuk 54875, Korea





*

Author to whom correspondence should be addressed.



Academic Editor: Derek J. McPhee

Abstract Bee pollen is flower pollen with nectar and salivary substances of bees and rich in essential components. Bee pollen showed antioxidant and tyrosinase inhibitory activity in our assay system. To maximize the antioxidant and tyrosinase inhibitory activity of bee pollen, extraction conditions, such as extraction solvent, extraction time, and extraction temperature, were optimized using response surface methodology. Regression analysis showed a good fit of this model and yielded the second-order polynomial regression for tyrosinase inhibition and antioxidant activity. Among the extraction variables, extraction solvent greatly affected the activity. The optimal condition was determined as EtOAc concentration in MeOH, 69.6%; temperature, 10.0 °C; and extraction time, 24.2 h, and the tyrosinase inhibitory and antioxidant activity under optimal condition were found to be 57.9% and 49.3%, respectively. Further analysis showed the close correlation between activities and phenolic content, which suggested phenolic compounds are active constituents of bee pollen for tyrosinase inhibition and antioxidant activity. Taken together, these results provide useful information about bee pollen as cosmetic therapeutics to reduce oxidative stress and hyperpigmentation. View Full-Text

Keywords: bee pollen; oxidative stress; melanogenesis; optimization; phenolic content; response surface methodology bee pollen; oxidative stress; melanogenesis; optimization; phenolic content; response surface methodology





Autor: Seon Beom Kim 1, Yang Hee Jo 1, Qing Liu 1, Jong Hoon Ahn 1, In Pyo Hong 2, Sang Mi Han 2, Bang Yeon Hwang 1 and Mi Kyeong Lee 1,*

Fuente: http://mdpi.com/



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