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

L Gao, S Ren
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引用次数: 14

Abstract

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 and SPGRKPLS, 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.

核偏最小二乘法同时分光光度法测定锰、锌和钴。
以2-(5-溴-2-吡啶偶氮)-5-二乙胺酚(5-Br-PADAP)和十六烷基溴化吡啶(CPB)为原料,采用经典偏最小二乘(PLS)和核偏最小二乘(KPLS)两种方法同时测定了锰、锌和钴的含量。设计了SPGRPLS和SPGRKPLS两个程序来进行计算。计算了8个误差函数来推导因子的数量。使用主成分分析进行数据约简。该方法适用于多波长、少样本数据矩阵的快速测定。KPLS法与PLS法预测各组分的相对标准误差(RSEP)相同,均为0.0247。实验结果表明,即使在光谱严重重叠的情况下,两种方法都是成功的。
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