Principal Components Analysis the Biochemical Compounds Extracted from Dates Using Three Mixture Design and Identification by GC-MS
Abstract: Principal Components Analysis (PCA) was performed on multivariates data of GC-MS results to study the relationship between compounds extracted with polarity of solvents mixture from the scores, loadings and plots. We used 13 mixture design of solvents on extraction of biochemical compounds in dates, We founded scores compounds are represented in four clusters (A, B, C and D) on the scores plot and loadings the PC1 and PC 2 accounted 70 % of the total variation with PC 1 having 42 % and PC 2 28 %.
Keywords: Kay words Dates fruit, GC-MS and PCA principal components analysis
How to Cite?: Taffaha. A. Arhouma, M. S. Hassan, "Principal Components Analysis the Biochemical Compounds Extracted from Dates Using Three Mixture Design and Identification by GC-MS", Volume 5 Issue 4, April 2016, International Journal of Science and Research (IJSR), Pages: 387-391, https://www.ijsr.net/getabstract.php?paperid=NOV162505, DOI: https://dx.doi.org/10.21275/NOV162505