ToF-SIMS for the characterization of hyperbranched aliphatic polyesters:: probing their molecular weight on surfaces based on principal component analysis (PCA)

被引:20
|
作者
Coullerez, G
Lundmark, S
Malmström, E
Hult, A
Mathieu, HJ [1 ]
机构
[1] Swiss Fed Inst Technol, LMCH, Surface Anal Mat Inst, CH-1015 Lausanne, Switzerland
[2] Perstorp Special Chem AB, S-28480 Perstorp, Sweden
[3] Royal Inst Technol, Dept Polymer Technol, SE-10044 Stockholm, Sweden
关键词
hyperbranched polyester; ToF-SIMS; PCA; quantification; molecular weight;
D O I
10.1002/sia.1592
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
A series of 2,2-bis(hydroxymethyl)propionic acid (Bis-MPA) hyperbranched aliphatic polyesters with different molecular weights (generations) is analysed for the first time by time-of-flight secondary ion mass spectrometry (ToF-SIMS). The main negative and positive low-mass fragments are identified in the fingerprint part of the spectra (m/z < 400) and are principally assigned to fragmentation of the Bis-MPA repeating units. In addition, it is shown that the fragmentation pattern is highly affected by the functional end-groups. This is illustrated for a phthalic acid end-capped hyperbranched polymer and for an acetonide-terminated dendrimer analog. Also, typical fragments assigned to the ethoxylated pentaerythritol core molecule are detected. These ions show decreasing intensities with increasing molecular weight. This intensity dependency on the generation is used to calibrate the molecular weight of hyperbranched polyesters on the surface. To obtain quantitative information, a principal component analysis WCA) multivariate statistical method is applied to the ToF-SIMS data. The influence of different normalization procedures prior to PCA calculation is tested, e.g. normalization to the total intensity, to the intensities of ions assigned to the Bis-MPA repeating unit or to intensities of fragments due to the core molecule. It is shown that only one principal component (PC1) is needed to describe most of the variance between the samples. In addition, PC1 takes into account the generation effect. However, different relationships between the PC1 scores and the hyperbranched mass average molecular weights are observed depending on the normalization procedure used. Normalization of data set ion intensities by ion intensities from the core molecule allows linearization of the SIMS intensities versus the molecular weight and allows the hyperbranched polymers to be discriminated up to the highest generations. In addition, PCA applied to ToF-SIMS data provides an extended interpretation of the spectra leading to further identification of the correlated mass peaks, such as those of the Bis-MPA repeating unit (terminal, dendritic and linear) and those of the core molecule. Finally, the work presented demonstrates the extreme potential of the static ToF-SIMS and PCA techniques in the analysis of dendritic molecules on solid surfaces. Copyright (C) 2003 John Wiley Sons, Ltd.
引用
收藏
页码:693 / 708
页数:16
相关论文
共 50 条
  • [1] Principal Component Analysis (PCA) of Surface Contamination by TOF-SIMS
    Sek, Kei Lin
    Lee, Pei Lin
    Pang, Khin Yin
    Hua, Younan
    Zhu, Lei
    Li, Xiaomin
    [J]. 2021 IEEE INTERNATIONAL SYMPOSIUM ON THE PHYSICAL AND FAILURE ANALYSIS OF INTEGRATED CIRCUITS (IPFA), 2021,
  • [2] ToF-SIMS quantification of polystyrene spectra based on principal component analysis (PCA)
    Eynde, XV
    Bertrand, P
    [J]. SURFACE AND INTERFACE ANALYSIS, 1997, 25 (11) : 878 - 888
  • [3] Insights into ToF-SIMS analysis of dendritic macromolecules:: cationization and PCA to probe their molecular weight on surfaces
    Coullerez, G
    Lundmark, S
    Malkoch, M
    Magnusson, H
    Malmström, E
    Hult, A
    Mathieu, HJ
    [J]. APPLIED SURFACE SCIENCE, 2003, 203 : 620 - 624
  • [4] Characterization and identification of minerals in rocks by ToF-SIMS and principal component analysis
    Rinnen, Stefan
    Stroth, Christiane
    Risse, Andreas
    Ostertag-Henning, Christian
    Arlinghaus, Heinrich F.
    [J]. APPLIED SURFACE SCIENCE, 2015, 349 : 622 - 628
  • [5] ToF-SIMS and principal component analysis: Effect of film thickness on crystal surfaces of polymers
    Lau, Yiu-Ting R.
    Weng, Lu-Tao
    Ng, Kai-Mo
    Chan, Chi-Ming
    [J]. SURFACE AND INTERFACE ANALYSIS, 2010, 42 (09) : 1469 - 1475
  • [6] Principal component analysis of TOF-SIMS images of organic monolayers
    Biesinger, MC
    Paepegaey, PY
    McIntyre, NS
    Harbottle, RR
    Petersent, NO
    [J]. ANALYTICAL CHEMISTRY, 2002, 74 (22) : 5711 - 5716
  • [7] Confirmation of Interlayer Sulfidization of Malachite by TOF-SIMS and Principal Component Analysis
    Deng, Jiushuai
    Lai, Hao
    Wen, Shuming
    Li, Shimei
    [J]. MINERALS, 2019, 9 (04):
  • [8] A ToF-SIMS damage study of polymer surfaces: The effect of molecular weight
    Leeson, AM
    Alexander, MR
    Short, RD
    Briggs, D
    Hearn, MJ
    [J]. ECASIA 97: 7TH EUROPEAN CONFERENCE ON APPLICATIONS OF SURFACE AND INTERFACE ANALYSIS, 1997, : 747 - 750
  • [9] Enhancing and automating TOF-SIMS data interpretation using principal component analysis
    Pachuta, SJ
    [J]. APPLIED SURFACE SCIENCE, 2004, 231 : 217 - 223
  • [10] Analysis of Ink/Coating penetration on paper surfaces by time-of-flight secondary ion mass spectrometry (ToF-SIMS) in conjunction with principal component analysis (PCA)
    Sodhi, R. N. S.
    Sun, L.
    Sain, M.
    Farnood, R.
    [J]. JOURNAL OF ADHESION, 2008, 84 (03): : 277 - 292