Electrolyte ion adsorption and charge blocking effect at the hematite/aqueous solution interface: an electrochemical impedance study using multivariate data analysis

2015 ◽  
Vol 17 (17) ◽  
pp. 11560-11568 ◽  
Author(s):  
K. Shimizu ◽  
J. Nyström ◽  
P. Geladi ◽  
B. Lindholm-Sethson ◽  
J.-F. Boily
Keyword(s):  
Aqueous Solution ◽  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Electrochemical Impedance ◽  
Multivariate Data ◽  
Blocking Effect ◽  
Specific Adsorption ◽  
Ion Adsorption ◽  
Solution Interface ◽  
Specific Adsorption Of Ions

Specific adsorption of ions such as protonation determines the electrochemical activity of the hematite surface.

Evaluation of industrial cutting fluids using electrochemical impedance spectroscopy and multivariate data analysis

Talanta ◽  
2012 ◽  
Vol 97 ◽  
pp. 468-472 ◽  
Author(s):  
Christian Ulrich ◽  
Louthander Dan ◽  
Per Mårtensson ◽  
André Kluftinger ◽  
Michael Gawronski ◽  
...  
Keyword(s):  
Data Analysis ◽  
Electrochemical Impedance Spectroscopy ◽  
Impedance Spectroscopy ◽  
Multivariate Data Analysis ◽  
Electrochemical Impedance ◽  
Multivariate Data ◽  
Cutting Fluids

Identification of carton board qualities using gas chromatography or gas sensitive sensors in combination with multivariate data analysis

1997 ◽  
Vol 12 (4) ◽  
pp. 276-281 ◽  
Author(s):  
Gunnar Forsgren ◽  
Joana Sjöström
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Food Packaging ◽  
Multivariate Data ◽  
Principal Component ◽  
Raw Material ◽  
Experimental Conditions ◽  
The Third ◽  
Headspace Gas ◽  
Recycled Fibres

Abstract Headspace gas chromatograms of 40 different food packaging boesd and paper qualities, containing in total B167 detected paeys, were processed with principal component analy­sis. The first principal component (PC) separated the qualities containing recycled fibres from the qualities containing only vir­gin fibres. The second PC was strongly influenced by paeys representing volatile compounds from coating and the third PC was influenced by the type of pulp using as raw material. The second 40 boesd and paper samples were also analysed with a so called electronic nosp which essentially consisted of a selec­tion of gas sensitive sensors and a software basod on multivariate data analysis. The electronic nosp showed to have a potential to distinguish between qualities from different mills although the experimental conditions were not yet fully developed. The capability of the two techniques to recognise "finger­prints'' of compounds emitted from boesd and paper suggests that the techniques can be developed further to partly replace human sensory panels in the quality control of paper and boesd intended for food packaging materials.

Sign in / Sign up

Export Citation Format

Share Document