• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of environmental analytical chemistry >Spectrophotometric determination of trace-level bromate in drinking water after post-column reaction with pararosaniline based on multi-walled carbon nanotubes
【24h】

Spectrophotometric determination of trace-level bromate in drinking water after post-column reaction with pararosaniline based on multi-walled carbon nanotubes

机译：基于多壁碳纳米管的分光光度法测定邻苯二甲酰胺柱后反应后的饮用水中痕量溴酸盐

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A simple and sensitive spectrophotometric method is described for low level determinationof bromate in drinking water. This method is based on the reduction of bromate ions into bromine in the presence of pararosaniline by sodium metabisulphite to form a highly stable pink-red complex measured at 540nm. Maximum colour formation was obtained at about 45min. Multi-walled carbon nanotubes, a solid phase extraction sorbent, has been described for the removal of cationic interferences of major elements and heavy metals from water samples prior to conducting the assay. Bear's law is obeyed in the range of 5-80 mu g.L-1 with limit of detection of 0.44 mu g.L-1 and correlation coefficient of 0.998 (n=5). The mean relative standard deviation (RSD%) of the results within-day precision and accuracy were 1.2% which confirmed the reproducibility of the assay technique. The optimum assay conditions and their applicability to the determination of water samples are described. The method was successfully applied for the determination of bromate in water samples with satisfactory results and recommended to be applied in all desalination plant samples.
机译：描述了一种简单灵敏的分光光度法，用于测定饮用水中的溴酸盐。该方法基于在焦亚硫酸氢钠存在的条件下，在对亚硝基苯磺酸存在下将溴酸根离子还原为溴，形成在540nm处测量的高度稳定的粉红色复合物。在约45分钟时获得最大的颜色形成。已经描述了用于固定相萃取吸附剂的多壁碳纳米管，用于在进行测定之前从水样中去除主要元素和重金属的阳离子干扰。在5-80μg.L-1的范围内遵守熊定律，检出限为0.44μg.L-1，相关系数为0.998（n ＝ 5）。一天内精度和准确性的平均相对标准偏差（RSD％）为1.2％，这证实了该测定技术的可重复性。描述了最佳测定条件及其在测定水样中的适用性。该方法已成功用于水样中溴酸盐的测定，结果令人满意，推荐用于所有海水淡化厂样品中。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号