摘要
将小波与遗传算法和分光光度法结合,在pH值为10.0,乳化剂OP,显色剂5-Br-PADAP的显色反应条件下,同时测定了软包装山野菜中重金属离子铜、锌、铅。试验表明,该法快速、准确、重现性好,样品测定相对误差绝对值小于5%,回收率在96.1%~103%之间,明显优于其它方法。
Wavelet and genetic algorithm were combined with spectrophotometry,the simultaneous detection of the heavy metal of copper,zinc and lead in the flexible packaged potherb was studied on the conditions for the color reaction with poctylpoly ethylenelycol phenylether(OP) and 2(5-bromo-2-pyridylazo)-5-diethy laminophenol(5-Br-PADAP) at pH 10.0.The result shows that this method is accurate and have good recurrence,relative error is less than 5%,the recovery is between 96.1% and 103%.And it excels other methods c...
出处
《广东微量元素科学》
CAS
2008年第5期49-54,共6页
Trace Elements Science
关键词
软包装山野菜
重金属
分光光度法
遗传算法
flexible packaged potherb
heavy metal
spectrophotometry
wavelet genetic algorithm