Getting More from XPS Imaging: Multivariate Analysis for Spectromicroscopy

Roberts, Adam; Page, S. C.; Takahashi, Kaoru

doi:10.1384/jsa.14.160

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…The development of image‐spectra data sets as a function of binding energy allows for greater flexibility during instrument setup and post processing of the data . Improvements in the design of electron analyzers and delay‐line detectors have facilitated fast collection times of these large image‐spectra data sets and allow for true quantitative analyses . The application of multivariate analysis on these large XPS data sets provides a method for the extraction of spectral and image information not apparently obvious .…”

Section: Introductionmentioning

confidence: 99%

Application of quantitative X‐ray photoelectron spectroscopy (XPS) imaging: investigation of Ni‐Cr‐Mo alloys exposed to crevice corrosion solution

Kobe

Badley

Henderson

et al. 2017

Surface & Interface Analysis

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This paper explores quantitative X-ray photoelectron spectroscopy imaging on three different Ni-Cr-Mo Hastelloy® alloys (BC-1, C-22 and G-30) with differing Cr and Mo contents. The alloys were subjected to a simulated critical crevice corrosion solution. Ni-based alloys have been shown to exhibit excellent resistance to a range of corrosive media due to the formation of an inert oxide layer, primarily containing Cr and Mo. However, these alloys may rapidly corrode in the crevice environment produced by seams, gaskets or deposits of debris on the alloy surface. Understanding how the oxide film is influenced by the Cr and Mo content is crucial in determining an optimal alloy composition that reduces or suppresses the possibility of crevice corrosion. The protective oxide films are very thin in nature, generally several nanometers. XPS imaging was used to monitor changes in oxide film composition and to correlate the distribution of Cr and Mo to the grain structure of the alloys. Figure 7. Overlaid XPS images of Mo metal (red), Mo IV (blue) and Mo VI (green) for sample G-30 superimposed with the electron backscatter diffraction image showing the Σ3 and random grain boundaries. B. Kobe et al. wileyonlinelibrary.com/journal/sia

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Section: Introductionmentioning

confidence: 99%

Application of quantitative X‐ray photoelectron spectroscopy (XPS) imaging: investigation of Ni‐Cr‐Mo alloys exposed to crevice corrosion solution

Kobe

Badley

Henderson

et al. 2017

Surface & Interface Analysis

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“…Tutorial description of PCA applied to XAS (x-ray absorption spectroscopy) and EXAFS studies were published a couple of years later by Wasserman et al [13,14]. Multivariate techniques with compositional and lateral resolution were applied to PEEM studies of Ge oxide surfaces [15][16][17]. Ag, Ni, Ti metallization layers [18] and Au-Sn surfaces [19] were studied using PCA by Walton et al and Renault et al.…”

Section: Introductionmentioning

confidence: 99%

Principal component analysis: Reveal camouflaged information in x-ray absorption spectroscopy photoemission electron microscopy of complex thin oxide films

et al. 2018

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Principal component analysis (PCA) has become a standard tool in spectromicroscopy and hyperspectral imaging to handle large spectral data sets and to decompose raw data into relevant and residual information. In particular in studies of complex compounds, PCA can be used to disentangle chemical information and thereby deepen the understanding of chemical and physical material properties. Surprisingly, in photoemission electron spectromicroscopy (PEEM), PCA is rarely used. This paper serves to demonstrate how powerful PCA can be to detect hidden chemical information in PEEM data. We demonstrate the capability of PCA in PEEM spectromicroscopy for the case of a thin film of a complex quaternary oxide, Pr 0.5 Ba 0.5 CoO 3-δ (PBCO) which is a main contender catalyst material for electrocatalytic water splitting. Upon annealing in air, PBCO decomposes into different phases at the surface. Two of them become obvious from the raw PEEM images, but one is revealed only after PCA.

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“…We assessed the influence of explanatory variables (labour variables) on the microbiome composition using transformation-based redundancy analysis (tb-RDA) 29 after Hellinger transformation 30 to correct for the influence of rare species. For analysis of the vaginal microbiome, we excluded all variables related to the baby, birth mode (as the last vaginal examination was performed before any potential instrument use) and weight status (due to missing data), leaving 13 variables.…”

Section: Redundancy Analysesmentioning

confidence: 99%

Duration of rupture of membranes and microbiome transmission to the newborn: A prospective study

Ribère,

Lemieux‐Labonté,

Pincez

et al. 2024

BJOG

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ObjectiveTo assess whether labour variables (i.e. individuals characteristics, labour characteristics and medical interventions) impact maternal and newborn microbiomes.DesignProspective monocentric study.SettingSaint‐Joseph Hospital tertiary maternity unit, in Paris, France.PopulationAll consecutive primiparous women with a physiological pregnancy and term labour from 15 April to 1 June 2017.Methods16S ribosomal RNA gene sequencing of the maternal vaginal, newborn skin and newborn oral microbiomes from 58 mother–baby dyads.Main outcome measuresAnalysis of the effects of 19 labour variables on the composition and diversity of these microbiomes.ResultsThe 19 labour variables explained a significant part of the variability in the vaginal, newborn oral and skin microbiomes (44%–67%). Strikingly, duration of rupture of membranes was the single factor that explained the greatest variability (adjusted R2: 7.7%–8.4%, p ≤ 0.002) and conditioned, by itself, the compositions of the three microbiomes under study. Long duration of rupture of membranes was specifically associated with a lower relative abundance of the Lactobacillus genus (1.7‐fold to 68‐fold reduction, p < 0.0001) as well as an increase in microbiome diversity, including genera implicated in nosocomial infections. The effects of duration of rupture of membranes were also present in newborns delivered by non‐elective caesarean section.ConclusionsMaternal and newborn microbiomes were greatly affected by labour variables. Duration of rupture of membranes, even in non‐elective caesarean sections, should be considered in epidemiological and microbiological studies, as well as in vaginal seeding practices.

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Getting More from XPS Imaging: Multivariate Analysis for Spectromicroscopy

Cited by 3 publications

References 3 publications

Application of quantitative X‐ray photoelectron spectroscopy (XPS) imaging: investigation of Ni‐Cr‐Mo alloys exposed to crevice corrosion solution

Application of quantitative X‐ray photoelectron spectroscopy (XPS) imaging: investigation of Ni‐Cr‐Mo alloys exposed to crevice corrosion solution

Principal component analysis: Reveal camouflaged information in x-ray absorption spectroscopy photoemission electron microscopy of complex thin oxide films

Duration of rupture of membranes and microbiome transmission to the newborn: A prospective study

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