Multivariate Statistical Analysis of Antioxidants in Dates (Phoenix Dactylifera)
Al-Karkhi, Abbas F.M. and Biglari, Foroogh and Liong, Min Tze and Mat Easa, Azhar (2008) Multivariate Statistical Analysis of Antioxidants in Dates (Phoenix Dactylifera). International Food Research Journal, 15 (2). pp. 193-200. ISSN 1985-4668
Four types of soft dates (SD), three types of semi-dried dates (SDD) and one type of dried dates (DD) were used in this study. The antioxidant activities were assessed using TEAC method (ABTS assay) and the ferric reducing/antioxidant power method (FRAP assay), while total phenolic content (TPC) and total flavonoid content (TFC) were measured using Folin-Ciocalteau and aluminum chloride colorimetric methods. Multivariate analysis of variance (MANOVA), discriminant analysis (DA) and principal component analysis (PCA) were used to analyze the data. MANOVA showed a strong significant difference between the eight types of dates. DA identified the relative contribution of each parameter in distinguishing the dates. DA also identified two functions responsible for discriminating the dates and showed the difference between different types of dates. The first function distinguished DD from other types of dates, whilst the second function discriminated SD and SDD, affording 100% correct assignation. PCA identified only one component responsible for explaining 98.85% of the total variance in antioxidant data. It is suggested that the TEAC method and the quantitative determination of TPC and TFC was suitable for differentiation of dates and quality control.
Repository Staff Only: Edit item detail