论文部分内容阅读
近年来育龄妇女矿物质缺乏的风险增加,特别是农村地区妇女。研究使用电感耦合等离子体原子发射光谱法(ICP-AES)和原子荧光光谱法(AFS)测定内蒙古乌兰察布市兴和县健康育龄妇女头发中21种元素含量(Ca,Mg,Cu,Zn,Fe,Mn,Cr,Ti,B,Co,Mo,Si,V,Ni,Cd,Al,Pb,Ba,Sr,Sn和Se)。结果显示,21个元素的浓度水平明显地不同于文献报道的平均水平。育龄女性存在微量营养素缺乏和有毒元素明显过剩的现象。当地矿产及土壤种类导致镁和铝的含量较高而硒含量较低。通过相关分析和逐步多元回归分析研究了元素间的相互作用,性质相似的金属元素具有显著的相互作用,且最强的是镁与钙、铬与硼、硅与铅、锰与铅、铁与锰。研究地区镉、铅没有显著的相关作用,这可能与工业暴露少有关。同时其他因素也影响元素在人体内的代谢水平。多元回归分析发现:Ca=f(Mg,Se)(Se为负相关,β<0),Fe=f(Cu,Mn,Ti),Zn=f(Ca,Se,Fe,Ni)(Fe,Ni为负相关,β<0),Cu=f(Pb,Fe,Cd),Al=f(Mg,Pb),Se=f(Zn,Cr,Ca)(Ca为负相关,β<0)。这些参数可以用于研究生物体内不同元素之间的关系。聚类分析法进一步对不同元素的来源进行分类,结果表明该地铅暴露主要来源于自然环境。研究结果将为改善农村地区育龄妇女宏观和微量元素水平提供可靠的依据,同时,也有助于制定更有效的提高妇女生殖健康和妊娠结局的策略。
Women of childbearing age have an increased risk of mineral deficiency in recent years, especially in rural areas. The contents of 21 elements (Ca, Mg, Cu, Zn) in the hair of healthy women of childbearing age in Xinghe County, Wulanchabu, Inner Mongolia were determined by inductively coupled plasma atomic emission spectrometry (ICP-AES) and atomic fluorescence spectrometry (AFS) Fe, Mn, Cr, Ti, B, Co, Mo, Si, V, Ni, Cd, Al, Pb, Ba, Sr, Sn and Se). The results showed that the concentrations of 21 elements were significantly different from those reported in the literature. Women of childbearing age there is a lack of micronutrients and toxic elements obvious excess phenomenon. Local mineral and soil species lead to higher magnesium and aluminum content but lower selenium content. The interaction between elements was studied by correlation analysis and stepwise multiple regression analysis. The metal elements with similar properties had significant interaction and the strongest ones were magnesium and calcium, chromium and boron, silicon and lead, manganese and lead, iron and manganese. There was no significant correlation between cadmium and lead in the study area, which may be related to less industrial exposure. At the same time other factors also affect the metabolism of elements in the body. Multiple regression analysis showed that Ca = f (Mg, Se) (Se was negative correlation, β <0), Fe = f (Cu, Mn, Ti) Ni is negatively correlated, β is less than 0), Cu = f (Pb, Fe, Cd), Al = f . These parameters can be used to study the relationship between different elements in an organism. Clustering analysis further classified the sources of different elements, the results show that the lead exposure mainly comes from the natural environment. The results of the study will provide a reliable basis for improving the macroelement and trace element levels of women of childbearing age in rural areas and at the same time help to formulate more effective strategies for improving women’s reproductive health and pregnancy outcomes.