Planta Med 2012; 78(6): 630-640
DOI: 10.1055/s-0031-1298239
Analytical Studies
Original Papers
© Georg Thieme Verlag KG Stuttgart · New York

Comparisons of Large (Vaccinium macrocarpon Ait.) and Small (Vaccinium oxycoccos L., Vaccinium vitis-idaea L.) Cranberry in British Columbia by Phytochemical Determination, Antioxidant Potential, and Metabolomic Profiling with Chemometric Analysis

Paula N. Brown1 , Christina E. Turi1 , Paul R. Shipley1 , Susan J. Murch1
  • 1Department of Chemistry, University of British Columbia, Okanagan Campus, Kelowna, British Columbia, Canada
Further Information

Publication History

received August 3, 2011 revised January 4, 2012

accepted January 16, 2012

Publication Date:
15 February 2012 (online)

Abstract

There is a long history of use and modern commercial importance of large and small cranberries in North America. The central objective of the current research was to characterize and compare the chemical composition of 2 west coast small cranberry species traditionally used (Vaccinium oxycoccos L. and Vaccinium vitis-idaea L.) with the commercially cultivated large cranberry (Vaccinium macrocarpon Ait.) indigenous to the east coast of North America. V. oxycoccos and V. macrocarpon contained the 5 major anthocyanins known in cranberry; however, the ratio of glycosylated peonidins to cyanidins varied, and V. vitis-idaea did not contain measurable amounts of glycosylated peonidins. Extracts of all three berries were found to contain serotonin, melatonin, and ascorbic acid. Antioxidant activity was not found to correlate with indolamine levels while anthocyanin content showed a negative correlation, and vitamin C content positively correlated. From the metabolomics profiles, 4624 compounds were found conserved across V. macrocarpon, V. oxycoccos, and V. vitis-idaea with a total of approximately 8000–10 000 phytochemicals detected in each species. From significance analysis, it was found that 2 compounds in V. macrocarpon, 3 in V. oxycoccos, and 5 in V. vitis-idaea were key to the characterization and differentiation of these cranberry metabolomes. Through multivariate modeling, differentiation of the species was observed, and univariate statistical analysis was employed to provide a quality assessment of the models developed for the metabolomics data.

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Susan J. Murch

Department of Chemistry
University of British Columbia

Okanagan Campus, 3333 University Way

Kelowna, British Columbia V1V1V7

Canada

Phone: +1 25 08 07 95 66

Fax: +1 25 08 07 92 49

Email: susan.murch@ubc.ca