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한국식품과학회지
→ 한국식품과학회지2019 ; 51(3): 227-236
Multivariate statistical analysis of the comparative antioxidant activity of the total phenolics and tannins in the water and ethanol extracts of dried goji berry (Lycium chinense) fruits
Joo-Shin Kim1,* and Haklin Alex Kimm2
1Food & Nutrition Program, Division of Food Science & Culinary Arts, College of Bio-Ecology Hygiene, Shinhan University 2Computer Science Department, East Stroudsburg University
ABSTRACT
Antioxidant activity in water and ethanol extracts of dried Lycium chinense fruit, as a result of the total phenolic and tannin content, was measured using a number of chemical and biochemical assays for radical scavenging and inhibition of lipid peroxidation, with the analysis being extended by applying a bootstrapping statistical method. Previous statistical analyses mostly provided linear correlation and regression analyses between antioxidant activity and increasing concentrations of phenolics and tannins in a concentration-dependent mode. The present study showed that multiple component or multivariate analysis by applying multiple regression analysis or regression planes proved more informative than linear regression analysis of the relationship between the concentration of individual components and antioxidant activity. In this paper, we represented the multivariate analysis of antioxidant activities of both phenolic and tannin contents combined in the water and ethanol extracts, which revealed the hidden observations that were not evident from linear statistical analysis.
KEYWORD
Lycium chinense, goji berry, antioxidant activity, bootstrapping statistical method, multivariate analysis
한국식품과학회지 2019 Jun; 51(3): 227 - 236
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