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分光光度法同时测定土壤中的铅、锌、镍、铜
引用本文:何国利 张运陶 何震. 分光光度法同时测定土壤中的铅、锌、镍、铜[J]. 西华师范大学学报(哲学社会科学版), 2007, 28(2): 210-214
作者姓名:何国利 张运陶 何震
作者单位:[1]西华师范大学应用化学研究所,四川南充637002 [2]南充农产品质量检测检验中心,四川南充637000
摘    要:采用分光光度法进行土壤中铅、锌、镍、铜离子的同时测定研究,通过模拟蓄电池厂周围土壤情况探讨了同时测定的实验方法.用偏最小二乘(PLS)和径向基函数神经网络(RBFNN)方法解析测定数据,结果表明PLS法的预测准确性明显优于RBFNN方法.

关 键 词:土壤 铅 锌 镍 铜 分光光度同时测定 偏最小二乘法 径向基函数神经网络
文章编号:1673-5072(2007)02-0210-05
修稿时间:2006-09-20

Simultaneous Determination of Lead, Zinc, Nickel and Copper by Spectrophotometry
HE Guo-li, ZHANG Yun-tao,HE Zhen. Simultaneous Determination of Lead, Zinc, Nickel and Copper by Spectrophotometry[J]. Journal of China West Normal University:Natural Science Edition, 2007, 28(2): 210-214
Authors:HE Guo-li   ZHANG Yun-tao  HE Zhen
Affiliation:1. Institute of Applied Chemistry, China West Normal University, Nanehong 637002, China; 2. Nanehong Supervision and Test Center for Agricultural Products Quality, Nanehong 637002, China
Abstract:Four elements of lead, zinc, nickel, copper were simultaneously determined by spectrophotometry in synthetic samples which were simulated by a kind of soil around some rechargeable battery factories, the determined data were analyzed and compared by PLS and RBF. The results demonstrate that the final analyzed veracity by PLS is superior to the results by RBF obviously.
Keywords:soil   lead    zinc    nickel    copper   simultaneous spectrophotometric determination    partial least squares    radial basis function networks.
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