Julia Fulghum

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Name: Fulghum, Julia
Organization: University of New Mexico , USA
Department:
Title: Professor(PhD)
Co-reporter:Svitlana Pylypenko, Kateryna Artyushkova, Julia E. Fulghum
Applied Surface Science 2010 Volume 256(Issue 10) pp:3204-3210
Publication Date(Web):1 March 2010
DOI:10.1016/j.apsusc.2009.12.006

Abstract

This paper presents results of a detailed X-ray photoelectron spectroscopy (XPS) characterization of complex changes at a polyimide surface resulting from Ar+ ion beam modification. The changes in chemical composition in the surface layer lead to formation of a layer that can act as an alignment layer for liquid crystals. The goal of this paper is to report on the result of a combination of spectral subtraction and multivariate analysis for analysis of XPS spectra. Principal component analysis (PCA), applied to curve-fitting results of difference spectra and multivariate curve resolution (MCR), applied to raw spectra, provided consistent results, and allowed for extraction of chemical anisotropy, defining factor in the ion beam (IB) alignment mechanism. This study demonstrated that more detailed chemical information about complex systems can be obtained through application of multivariate analysis to XPS spectra and curve-fits. Further, this approach can be effectively used in the characterization of various complex materials to link chemical structure to their properties.

Co-reporter:Kateryna Artyushkova;Stephen Levendosky;Plamen Atanassov
Topics in Catalysis 2007 Volume 46( Issue 3-4) pp:263-275
Publication Date(Web):2007 December
DOI:10.1007/s11244-007-9002-y
The chemical structure of non-platinum electrocatalysts obtained from cobalt porphyrins (CoTMPP or CoTPP) by pyrolysis is investigated by X-ray Photoelectron Spectroscopy (XPS). The catalysts represent highly dispersed, self-supported nano-composites that demonstrate electrocatalytic performance for oxygen reduction and practically no activity in methanol electro-oxidation. High-resolution Co2p, C1s, N1s and O1s XPS spectra acquired from precursors and electrocatalysts pyrolyzed at various experimental conditions were curve-fit using (a) individual peaks of constrained width and shape as well as (b) experimentally obtained photopeaks from the precursor with additional peaks required for a complete curve fit. Principal Component Analysis (PCA) applied to quantitative results from the curve-fits of both types of spectra facilitates visualization and identification of the chemical species that are formed or destroyed, and simplifies evaluation of critical correlations. As a result of these studies it is established that the catalyst is a nano-composite of highly dispersed pyropolymer with some remaining Nx-centers inserted into a graphite-like matrix. Approximately 50% of the metal is distributed as Co2+, associated with N4-centers. The remaining cobalt is present in crystallites of metallic Co. A thin layer of CoO coats these metallic cobalt phases. The developed methodology, described herein, combines model curve-fits and principal component analysis (PCA), resulting in a quantitative and unambiguous understanding of the chemical composition and structure of complex electrocatalysts.
COBALT(2+);OXYGEN(2-)
(2-FLUORO-4-HYDROXYPHENYL)BORONIC ACID