Abstract
In the present research study, response surface methodology (RSM) was performed on the basis of total phenolic content of aqueous feijoa leaf extracts. The total phenolic content of experimental runs changed between 941.6 and 4347.5 mg GAE/L. HPLC-DAD analysis was performed to monitor the phenolic profile of feijoa leaf extract. Major phenolic compounds were determined as gallic acid, catechin, syringic acid, ellagic acid, chrysin, caffeic acid, p-coumaric acid, ferulic acid, and quercetin. Profile of volatile compounds was determined by using GC-MS technique and limonene, linalool and caryophyllene were detected as major volatile compounds. In addition, extracts from feijoa leaves showed antimicrobial activity against Gram-positive and Gram-negative bacteria and one yeast species. Taken together, all findings enhance our understanding of further use feijoa leaves as potential source for valuable bioactive compounds in various industrial products such as dietary supplements, food products (syrups, jams), and cosmetic products.
Highlights
Feijoa sellowiana, which is a species of the family Myrtaceae is mainly grown in South America, Brazil, and New Zealand (Weston, 2010)
The reduced cubic model was selected because of the capability to present the best correlation between the dependent variable and independent variables when compared to linear, interactive and quadratic models)
The present study will serve a base for future studies about the evaluation of the phenolic composition, volatile composition, and antimicrobial activity of feijoa leaves from Turkey
Summary
Feijoa sellowiana, which is a species of the family Myrtaceae is mainly grown in South America, Brazil, and New Zealand (Weston, 2010). Most of the previous reports focused on the antioxidant properties of feijoa fruit (Zhen-Zhu et al, 2011; Mosbah et al, 2018). Very few studies focused on exploring feijoa leaves in terms of their bioactive, antimicrobial, and antioxidant properties. It was shown that feijoa fruit extract showed high antimicrobial and antifungal properties (Mosbah et al, 2018). Şahin & Şamli, (2013) determined extraction conditions for ultrasoundassisted extraction of phenolics from olive leaf extract using RSM (Şahin & Şamli, 2013) Another previous study used RSM for optimization of extraction of phenolics from Inga edulis leaves (Silva et al, 2007)
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