Corrigendum to “Determination of in vitro antioxidant activity of fennel (Foeniculum vulgare) seed extracts” [LWT – Food Science and Technology 36 (2003) 263–271]

LWT ◽  
2010 ◽  
Vol 43 (6) ◽  
pp. 1000
Author(s):  
Oktay Münir ◽  
Gülcin Ilhami ◽  
Ö. Küfrevioglu I'rfan
LWT ◽  
2003 ◽  
Vol 36 (2) ◽  
pp. 263-271 ◽  
Author(s):  
Münir Oktay ◽  
İlhami Gülçin ◽  
Ö.İrfan Küfrevioğlu

Foods ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 194 ◽  
Author(s):  
Ioannis Karabagias ◽  
Miguel Maia ◽  
Vassilios Karabagias ◽  
Ilias Gatzias ◽  
Anastasia Badeka

The present study was conducted to evaluate the quality and bio-functional properties of Portuguese honeys of different botanical and geographical origins. Quality parameter analyses included the determination of palynological (predominant, secondary, minor and isolated pollen percentage), physicochemical (°Brix, moisture content, pH, electrical conductivity, free acidity, total dissolved solids, salinity, vitamin C content and specific weight) including colour-metrics (CIELAB, Pfund and colour intensity determinations), along with volatile compounds identification using solid phase micro-extraction coupled to gas chromatography mass spectrometry. Bio-activity parameter analysis included the determination of in vitro antioxidant activity and total phenolic content using the 2,2-diphenyl-1-picryl-hydrazyl and Folin-Ciocalteu assays, respectively. Melissopalynological analysis showed that Portuguese honeys were classified as eucalyptus, chestnut and heather, recording significant variations (p < 0.05) among physicochemical, volatile and bio-activity parameter analyses according to both: botanical and geographical origin. Based on the multi-parameter analysis data Portuguese honeys could be characterized by a distinctive colour, a characteristic aroma, whereas conform to the European legislation relating to honey identity and quality. Specific attention should be given in the case of heather honey which showed the highest in vitro antioxidant activity and total phenolic content. Parameters that were also highly correlated using bivariate statistics.


1999 ◽  
Vol 48 (1) ◽  
pp. 63-67 ◽  
Author(s):  
Alexander I. Kuzmenko ◽  
Rozalia P. Morozova ◽  
Inna A. Nikolenko ◽  
Georgiy V. Donchenko ◽  
Steven L. Richheimer ◽  
...  

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