Simultaneous spectrophotometric determination of trace amounts of cobalt, nickel, and copper using the partial least-squares method after the preconcentration of their 2-aminocyclopentene-1-dithiocarboxylate complexes on microcrystalline naphthalene

2008 ◽  
Vol 63 (3) ◽  
pp. 232-238 ◽  
Author(s):  
M. B. Gholivand ◽  
Y. Mozaffari ◽  
Sh. Sobhani ◽  
J. Ghasemi
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Spectrophotometric Determination ◽  
Least Squares Method ◽  
Cobalt Nickel ◽  
Microcrystalline Naphthalene ◽  
Partial Least Squares Method

scholarly journals Quantitative Determination of the Multicomponents With Overlapping Ultraviolet Spectra Using Wavelet-Packed Transform and Partial Least Squares

2006 ◽  
Vol 2006 ◽  
pp. 1-6
Author(s):  
Ling Gao ◽  
Shouxin Ren
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Least Squares Method ◽  
Wavelet Packet ◽  
Noise Removal ◽  
Time Frequency ◽  
Relative Standard ◽  
Best Basis Algorithm ◽  
Partial Least Squares Method

This paper presented a novel method named wavelet packet transform-based partial least squares method (WPTPLS) for simultaneous spectrophotometric determination ofα-naphthylamine, p-nitroaniline, and benzidine. Wavelet packet representations of signals provided a local time-frequency description and separation ability between information and noise. The quality of the noise removal can be improved by using best-basis algorithm and thresholding operation. Partial least squares (PLS) method uses both the response and concentration information to enhance its ability of prediction. In this case, by optimization, wavelet function and decomposition level for WPTPLS method were selected as Db16 and 3, respectively. The relative standard errors of prediction (RSEP) for all components with WPTPLS and PLS were 2.23% and 2.71%, respectively. Experimental results showed WPTPLS method to be successful and better than PLS.

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

1998 ◽  
Vol 20 (6) ◽  
pp. 179-183 ◽  
Author(s):  
Ling Gao ◽  
Shouxin Ren
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Spectrophotometric Determination ◽  
Least Squares Method ◽  
Rapid Determination ◽  
Data Matrix ◽  
Kernel Partial Least Squares ◽  
Relative Standard ◽  
Cetyl Pyridinium

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.

Simultaneous determination of sucrose and trehalose in olive leaves by spectrophotometry utilizing partial least squares method

2009 ◽  
Vol 31 (4) ◽  
pp. 865-869 ◽  
Author(s):  
Mohammadreza Khanmohammadi ◽  
Maryam Moeini ◽  
Amir Bagheri Garamarudi ◽  
Abbas Sotudehnia ◽  
Mahdi Zarrabi
Keyword(s):  
Least Squares ◽  
Simultaneous Determination ◽  
Partial Least Squares ◽  
Least Squares Method ◽  
Olive Leaves ◽  
Partial Least Squares Method
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