Self-correlation function for determination of geometrical parameters in Nanoporous Anodic Alumina Films

Effect of Porosity and Concentration Polarization on Electrolyte Diffusive Transport Parameters through Ceramic Membranes with Similar Nanopore Size

“…Tailor made alumina membranes were morphologically characterized by SEM micrographs of top and bottom surfaces together with the cross-section view carried out at 20 kV in a JEOL-6610LV (JEOL Ltd., Tokyo, Japan). The geometrical parameters of the NPAMs (pore size, porosity and spatial pore arrangement) were determined by using both ImageJ (National Institutes of Health, Bethesda, MD, USA) and WSxM (Nanotec Electronica S.L., Madrid, Spain) software for image analysis [ 23 , 24 , 25 ]. Samples were previously coated with a thin gold layer by means of a sputtering process to make them conductive.…”

Electrochemical methods for template-assisted synthesis of nanostructured materials

“…The variation in pore diameter with the applied voltage is also affected by MA conditions since the diameter obtained varies at a rate of $1.0 nm/V, whereas under HA conditions this rate takes the value of $0.4 nm/V (Lee et al, 2006a). As a consequence, porosity in hard anodized films is around 3-6% (Lee et al, 2006a;Chu et al, 2005), whereas for MA conditions it is around 10% (Nielsch et al, 2002b;Mínguez-Bacho et al, 2012). These differences in the geometric parameters can be explained by the growth mechanism and the electric field distribution through the BL, which drive the oxide formation at the bottom of the pore (Houser and Hebert, 2009).…”

Investigation of porous anodic alumina templates formed by anodization of single-crystal aluminum substrates

“…In order to determine a quantitative value of the regularity of the pores, a self-correlation function (SCF) was applied to the PAA's top surface images using the freeware software "WSxM4.0" [36], through a procedure previously introduced by Mínguez-Bacho et al [37]. This approach takes into consideration large surface areas and self-correlated images (SCI), presenting an alternative procedure to Fast Fourier Transform (FFT) and Pair Distribution Function analyses.…”