Modeling and Optimization of Relocation of Some Heavy Metals and Micro-nutrients in the Argan Trees
Modeling and Optimization of Relocation of Some Heavy Metals and Micro-nutrients in the Argan Trees作者机构：Laboratory General of Physical Chemistry Materials Nanoma-terials and Environment Faculty of Science UniversityMohammed V-Agdal Rabat Morocco Unite Mixed Research Cemagref-ENSAM-CIRAD Montpellier France
出 版 物：《Journal of Chemistry and Chemical Engineering》 (化学与化工（英文版）)
年 卷 期：2011年第5卷第7期
页 面：663-669页
学科分类：0832[工学-食品科学与工程（可授工学、农学学位）] 081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 070302[理学-分析化学] 083202[工学-粮食、油脂及植物蛋白工程] 0703[理学-化学]
主 题：Heavy metals micro-nutrients argan trees principal component analysis MFA ICP-AES.
摘 要：This work constitutes a contribution to the study of the physical-chemical performance of some heavy metals and micro-nutrients in the Argan trees. The samples are harvested from small Argan trees, three samples （soil, wood, leaves） per tree. The content of various heavy metals and micro-nutrient in aerial parts （leaves, wood and soil） were analyzed in the Argan tree by the method of ICP-ES. The results of analysis of data for the chemical variables were measured for several trees at different measurement times, do not affect the dispersion of the data. The use of chemometrics has allowed us to interpret the results obtained especially those related to the characterization of heavy metals and micro-nutrient after calibration by variable regression of these results in order to get an overall estimate of the optimal content, and to follow changes in the methods of treatment. The results of the characteristics of Argan trees have been treated using the statistical method of Principal Component Analysis （MFA）, The MFA was used to analyze the three groups simultaneously. These groups are fairly similar.
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