2005
DOI: 10.1016/j.surfcoat.2005.02.068
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ToF-SIMS characterisation of ultra-thin fluorinated carbon plasma polymer films

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Cited by 18 publications
(6 citation statements)
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“…To address the issue of such data abundance and to extract chemical information about the analyzed materials, the statistical method of PCA was exploited . This statistical treatment was recently developed to characterize plasma polymer films . Examples of PCA applications are numerous as they are varied including quantification of polymer blends, identification of adsorbed proteins, discrimination of paints, etc.…”
Section: Resultsmentioning
confidence: 99%
“…To address the issue of such data abundance and to extract chemical information about the analyzed materials, the statistical method of PCA was exploited . This statistical treatment was recently developed to characterize plasma polymer films . Examples of PCA applications are numerous as they are varied including quantification of polymer blends, identification of adsorbed proteins, discrimination of paints, etc.…”
Section: Resultsmentioning
confidence: 99%
“…Examples of PCA applications are as numerous as they are varied including quantification of polymer blends,42 identification of adsorbed proteins,43 discrimination of paints,44 etc. Recently, the method has also revealed to be suitable for PPF characterization 18, 45–47. A detailed description of the basic principles and applications of the PCA method can be found elsewhere 48…”
Section: Resultsmentioning
confidence: 99%
“…Time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS) has been shown to be a powerful tool to probe structural differences in organic materials 42. Nevertheless, due to the ToF‐SIMS spectra complexity, statistic methods such as principal component analysis (PCA) are increasingly used for data analysis 43–49…”
Section: Introductionmentioning
confidence: 99%