Distribution pattern of eight heavy metals in the outer and inner tissues of ten commonly used vegetables

This study reports the distribution of eight heavy metals (Cd, Co, Cr, Cu, Hg, Mn, Ni, and Pb) in the outer and inner tissues of ten different vegetables from the Qassim region of Saudi Arabia. The oven-dried (65°C, 48 h) vegetable samples were subjected to microwave acid digestion before heavy metals analysis using inductively coupled plasma optical emission spectrometry. The results showed that Co, Cd, and Pb were absent in the outer tissues of all the vegetables, whereas these elements were detected in the inner tissues of some vegetables in the ranges of 0.01–0.23 mg/kg wet weight, 0.03–0.42 mg/kg, and 0.02–3.44 mg/kg, respectively. The traces of Hg (1.83–3.59 μg/kg) were noticed in the outer tissues of all the samples; however, it was not detected in the inner tissues of vegetables. The variable distribution of heavy metals in different vegetables is influenced by several factors, including exposure route, physicochemical properties of heavy metals, species of crops, cultivation strategy, soil type, and growing conditions. In conclusion, although the representative samples of vegetables used in this study contained safe levels of Cd, Co, Ni, and Pb, higher than recommended upper limits of Cr, Cu, and Mn were observed in some vegetables. These findings suggested that regular monitoring of heavy metals in vegetables is important to safeguard consumers.     

全谱直读等离子发射光谱法测定污水中的硫

采用全谱直读等离子发射光谱法可迅速检测污水中硫。污水样品过滤处理。分析中采用高频发射功率1 300 W,得到硫元素含量与净强度值关系的线性回归方程y=123.4x-456.3,相关系数r=0.9999。7个样品检测的相对标准偏差在0.17%~1.80%之间。     

ICP-OES测定钛铁矿中11种杂质元素

研究建立了用HNO3-HF-HClO4-HCl分解钛铁矿试样,利用电感耦合等离子体发射光谱仪(ICP-OES)同时测定钛铁矿中V、Cu、Mn、Pb等11种杂质元素的测定方法。确定了仪器测定最佳工作条件及分析谱线,采用Y内标元素消除钛、铁基体效应。方法的线性相关系数>0.999,相对标准偏差为0.60%～3.73%,加标回收率为94%～108%。结果表明:本法精密度和准确度较好,方法快速、简便。     

ICP-OES法测定烧结矿中SiO2、CaO、MgO、Al2O3和MnO

采用ICP-OES法同时测定烧结矿中SiO2、CaO、MgO、Al2O3和MnO各元素的含量。讨论了基体、谱线干扰及背景对检测影响,并利用精密度和统计学理论中t检验分析了检测结果。     

ICP-OES同时测定钒电池级硫酸氧钒中杂质铁铬镍钾钠钙硅铝

建立了采用电感耦合等离子体原子发射光谱法(ICP-OES)同时测定钒电池级固体硫酸氧钒中8种关键杂质含量的分析方法,检测范围包括0.001%~0.100%铁铬镍和0.005%~0.100%钾钠钙硅铝。试验考察了样品中高钒基体和硫酸根离子共存体系下基体效应、光谱干扰以及连续背景叠加等影响因素对痕量杂质测定的干扰。研究得到:硫酸根离子对测定无影响,高浓度钒离子的基体效应或连续背景叠加对钾钠产生负干扰,对砷钴铁镍等其余杂质元素产生正干扰的试验结论,并且方法采用基体匹配法和同步背景校正法相结合方式消除高钒基体对杂质测定的影响。通过光谱干扰试验分类归纳总结了钒基体对杂质元素的光谱干扰情况,并且优选了元素分析谱线、背景校正区域以及光谱仪工作条件。分析方法的技术性能达到:背景等效浓度-0.000 3%~0.000 3%,元素检出限0.000 1%~0.000 3%,含量在0.001%~0.007%范围内RSD10%,回收率91.0%~110.0%。     

ICP-OES法测定辣条中的多种金属元素

此次试验旨在建立一种可靠的微波消解-电感耦合等离子体发射光谱(ICP-OES)法测定辣条中10种金属元素的方法。试验对仪器参数进行优化,随机购买市售50份样本,打碎混匀后,用微波消解-ICP-OES法对锰、铜、铁、铝、铅、银、镉、钼、镍、铬10种元素进行同时测定。结果表明,在优化试验条件下,各金属元素的线性关系良好,相关线性(r^2)在0.9998以上,方法的检出限为0.034~0.646 mg/kg。在加标量为0.005,0.010和0.020 mg/kg的3种梯度浓度下,回收率达到90.0%~102.0%,方法精密度RSD为0.82%~7.71%。该方法样品处理效率高,样品消解彻底,操作简单快速,谱线干扰少,线性范围宽,灵敏度高,能满足辣条样品中多种金属元素的同时测定。     

基于金属合金的ICP-OES测定法研究

电感耦合等离子体发射光谱仪(ICP-OES)越来越多应用于金属含量样品元素测定中。本文基于ICP-OES方法的已知实验,得到该方法用于测定由硅铝钡制成的金属合金中的铝和钡金属元素合金。     

茶花蜂花粉中常量、微量元素的分析测定

采用HNO3/H2O2湿法微波消解制样,利用全谱直读电感耦合等离子原子发射光谱法（ICP-OES）,全面详细地分析测定了茶花蜂花粉中的常量元素和微量元素,共检出16种。分析结果RSD值在0.45%~7.14%之间。茶花蜂花粉中所含P、S、K、Mg、Ca、Na等常量元素的质量分数分别为0.77%、0.73%、0.52%、0.13%、0.099%、0.010%;微量元素Mn、Si、Al、Fe、Zn、Cu、B、Ba、Sr、Ti等的含量分别为508.6、313.2、148.5、74.8、38.8、10.5、8.3、7.2、1.8、0.98 mg/kg。