为了探究糙出白率和糙米重金属含量初始值与精米中重金属含量的关系,研究糙出白率与重金属去除率的关系.结果表明Pb元素在水稻中分布最不均匀,在糙出白率为83.09％时,Pb去除率最大;但当糙出白率为75.36时,大米加工精度达到1级,3种重金属中As的去除率最大为37.48％,Cd的去除率最低为20.71％,Pb去除率为41.40％.并采用精米的糙出白率和糙米中重金属As、Cd、Pb二因素五水平的中心组合设计(Central Composite Design)的响应面法(Response Surface Methodology),建立了精米中重金属As、Cd、Pb的二次多项数学模型,验证了模型的有效性,并考察了糙出白率的和糙米中初始重金属As、Cd、Pb的含量对精米中重金属元素的影响;模型验证试验表明,试验值与拟合值无显著性差异(P＜0.05),说明试验结果可靠有效.%In order to explore the relationship between the heavy metal content initial value of white rice yield and brown rice with the heavy metal content in polished rice,this essay researched the relationship between white rice yield and removal rate of heavy metal.The result showed that the element Pb has the most uneven distribution in rice.The removal rate of Pb was the maximum when the white rice yield reached 83.09％.When the white rice yield was 75.36％ with level 1 rice working accuracy,the removal rate of As in three heavy metals was the largest which was 37.48％,the removal rate of Cd was the least which was 20.71％,the removal rate of Pb was 41.40％.Response surface methodology(RSM) was adopted based on five levels and two factors and three second order quadratic equations for As 、Cd and Pb in milled rice were built.The adequacy of the three models were verified effectively,meanwhile,the white rice yield and As,Cd,Pb concentration in brown rice showed the influence on heavy mental element in polished rice.It was proved that the results were reliable and effective since the experimental value and the fitted value with no significant differences(P ＜ 0.05).
展开▼
