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Simultaneous spectrophotometric determination of manganese, zinc and cobalt by kernel partial least–squares method

机译:核偏最小二乘分光光度法同时测定锰,锌和钴

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摘要

Simultaneous spectrophotometric determination of Mn, Zn and Co was studied by two methods, classical partial least-squares (PLS) and kernel partial least-squares (KPLS), with 2-(5-bromo-2- pyridylazo)-5-diethylaminephenol (5-Br-PADAP) and cetyl pyridinium bromide (CPB). Two programs, SPGRPLS andSPGRKPLS, were designed to perform the calculations. Eight error functions were calculated for deducing the number of factors. Data reductions were performed using principle component analysis. The KPLS method was applied for the rapid determination from a data matrix with many wavelengths and fewer numbers of samples. The relative standard errors of prediction (RSEP) for all components with KPLS and PLS methods were the same(0.0247). Experimental results showed both methods to be successful even where there was severe overlap of spectra.
机译:用2-(5-溴-2-吡啶基偶氮)-5-二乙胺苯酚(2,5,2,4-二氯乙烷)分光光度法同时测定了经典的偏最小二乘(PLS)和核偏最小二乘(KPLS)。 5-Br-PADAP)和十六烷基溴化吡啶鎓(CPB)。设计了两个程序SPGRPLS和SPGRKPLS来执行计算。计算了八个误差函数以推论出因子的数量。使用主成分分析进行数据缩减。 KPLS方法用于从具有许多波长和较少数量样品的数据矩阵中快速测定。使用KPLS和PLS方法的所有组件的相对预测标准误差(RSEP)相同(0.0247)。实验结果表明,即使在光谱存在严重重叠的情况下,这两种方法也都是成功的。

著录项

  • 作者

    Gao, Ling; Ren, Shouxin;

  • 作者单位
  • 年度 1998
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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