Moving window as a variable selection method in potentiometric titration multivariate calibration and its application to the simultaneous determination of ions in Raschig synthesis mixtures

2009 ◽  
Vol 23 (3) ◽  
pp. 117-123 ◽  
Author(s):  
Sheng Fang ◽  
Ming-Qiao Zhu ◽  
Chao-Hong He
Keyword(s):  
Variable Selection ◽  
Simultaneous Determination ◽  
Potentiometric Titration ◽  
Multivariate Calibration ◽  
Selection Method ◽  
Moving Window ◽  
Variable Selection Method

Simultaneous Determination of Copper, Lead and Zinc in Alloy by Potentiometric Titration Coupled with Multivariate Calibration Using a Flow Injection Technique

2013 ◽  
Vol 785-786 ◽  
pp. 1353-1358 ◽  
Author(s):  
Chan Gai Deng ◽  
Li Fu Liao ◽  
Wei Long
Keyword(s):  
Simultaneous Determination ◽  
Potentiometric Titration ◽  
Flow Injection ◽  
Multivariate Calibration ◽  
Injection Technique ◽  
Lead And Zinc ◽  
Relative Standard ◽  
Determination Of Copper ◽  
Copper Lead

A new potentiometric titration method coupled with multivariate calibration using a flow injection technique for the simultaneous determination of multi-components in alloy has been developed. the titrant is a mixture of EDTA and sodium fluoride, both mercury film electrode and fluorinion selective electrode are inserted in the flow cell. In a process of titration, both the potentiometric of mercury ion and the mixed proportion of reactants at each titration point can be obtained simultaneously from the two electrodes, and then the concentration of each component in the mixture can be obtained from the titration curves by multivariate calibration method. The method is free of volumetric and time measurements, and reduces the consumption of reagents and samples. The method is also very quick in analysis rapidity. The method has been applied for the simultaneous determination of copper, lead and zinc in alloy samples with the relative standard deviation of 0.18%~0.45% and the recovery of 99.5%~101.6%.

scholarly journals An efficient variable selection method based on random frog for the multivariate calibration of NIR spectra

RSC Advances ◽  
2020 ◽  
Vol 10 (28) ◽  
pp. 16245-16253
Author(s):  
Jingjing Sun ◽  
Wude Yang ◽  
Meichen Feng ◽  
Qifang Liu ◽  
Muhammad Saleem Kubar
Keyword(s):  
Variable Selection ◽  
Multivariate Calibration ◽  
Variable Interval ◽  
Selection Method ◽  
Variable Selection Method

A variable selection method based on random frog, variable filtering and variable interval expansion.

Iteratively variable subset optimization for multivariate calibration

RSC Advances ◽  
2015 ◽  
Vol 5 (116) ◽  
pp. 95771-95780 ◽  
Author(s):  
Weiting Wang ◽  
Yonghuan Yun ◽  
Baichuan Deng ◽  
Wei Fan ◽  
Yizeng Liang
Keyword(s):  
Variable Selection ◽  
Multivariate Calibration ◽  
Selection Method ◽  
Good Prediction ◽  
Variable Selection Method ◽  
Variable Subset

IVSO is a variable selection method, which shows good prediction and stability and can eliminate uninformative variables gradually and gently.

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