title: Elemental content of Vietnamese rice. Part 2. Multivariate data analysis.
abstract: Rice samples were obtained from the Red River region and some other parts of Vietnam as well as from Yanco, Australia. These samples were analysed for 14 elements (P, K, Mg, Ca, Mn, Zn, Fe, Cu, Al, Na, Ni, As, Mo and Cd) by ICP-AES, ICP-MS and FAAS as described in Part 1. This data matrix was then submitted to multivariate data analysis by principal component analysis to investigate the influences of environmental and crop cultivation variables on the elemental content of rice. Results revealed that geographical location, grain variety, seasons and soil conditions are the most likely significant factors causing changes in the elemental content between the rice samples. To assess rice quality according to its elemental content and physio-biological properties, a multicriteria decision making method (PROMETHEE) was applied. With the Vietnamese rice, the sticky rice appeared to contain somewhat higher levels of nutritionally significant elements such as P, K and Mg than the non-sticky rice. Also, rice samples grown during the wet season have better levels of nutritionally significant mineral elements than those of the dry season, but in general, the wet season seemed to provide better overall elemental and physio-biological rice quality.
authors.affiliation: Centre for Instrumental and Developmental Chemistry, Queensland University of Technology, Brisbane, Australia.
authors.forename: S
authors.initials: S
authors.lastname: Kokot
authors.forename: T D
authors.initials: TD
authors.lastname: Phuong
mesh_terms: D004777:Environment; D006801:Humans; D015999:Multivariate Analysis; D012275:Oryza / Q000737:chemistry*; D014131:Trace Elements / Q000032:analysis*; D014744:Vietnam
chemical_list: D014131:Trace Elements