PMID- 27134321
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20210924
IS  - 0142-2421 (Print)
IS  - 0142-2421 (Linking)
VI  - 48
IP  - 4
DP  - 2016 Apr
TI  - ToF-SIMS analysis of a polymer microarray composed of poly(meth)acrylates with 
      C(6) derivative pendant groups.
PG  - 226-236
AB  - Surface analysis plays a key role in understanding the function of materials, 
      particularly in biological environments. Time-of-flight secondary ion mass 
      spectrometry (ToF-SIMS) provides highly surface sensitive chemical information 
      that can readily be acquired over large areas and has, thus, become an important 
      surface analysis tool. However, the information-rich nature of ToF-SIMS 
      complicates the interpretation and comparison of spectra, particularly in cases 
      where multicomponent samples are being assessed. In this study, a method is 
      presented to assess the chemical variance across 16 poly(meth)acrylates. 
      Materials are selected to contain C(6) pendant groups, and ten replicates of each 
      are printed as a polymer microarray. SIMS spectra are acquired for each material 
      with the most intense and unique ions assessed for each material to identify the 
      predominant and distinctive fragmentation pathways within the materials studied. 
      Differentiating acrylate/methacrylate pairs is readily achieved using secondary 
      ions derived from both the polymer backbone and pendant groups. Principal 
      component analysis (PCA) is performed on the SIMS spectra of the 16 polymers, 
      whereby the resulting principal components are able to distinguish phenyl from 
      benzyl groups, mono-functional from multi-functional monomers and acrylates from 
      methacrylates. The principal components are applied to copolymer series to assess 
      the predictive capabilities of the PCA. Beyond being able to predict the 
      copolymer ratio, in some cases, the SIMS analysis is able to provide insight into 
      the molecular sequence of a copolymer. The insight gained in this study will be 
      beneficial for developing structure-function relationships based upon ToF-SIMS 
      data of polymer libraries.
CI  - (c) 2016 The Authors Surface and Interface Analysis Published by John Wiley & Sons 
      Ltd.
FAU - Hook, Andrew L
AU  - Hook AL
AD  - Laboratory of Biophysics and Surface Analysis University of Nottingham Nottingham 
      NG7 2RD UK.
FAU - Scurr, David J
AU  - Scurr DJ
AD  - Laboratory of Biophysics and Surface Analysis University of Nottingham Nottingham 
      NG7 2RD UK.
LA  - eng
GR  - WT_/Wellcome Trust/United Kingdom
GR  - 103882/WT_/Wellcome Trust/United Kingdom
PT  - Journal Article
DEP - 20160219
PL  - England
TA  - Surf Interface Anal
JT  - Surface and interface analysis : SIA
JID - 101479368
PMC - PMC4832844
OTO - NOTNLM
OT  - high-throughput surface characterisation
OT  - multivariate analysis
OT  - polymer microarray
OT  - surface analysis
EDAT- 2016/05/03 06:00
MHDA- 2016/05/03 06:01
PMCR- 2016/04/15
CRDT- 2016/05/03 06:00
PHST- 2015/10/11 00:00 [received]
PHST- 2016/01/18 00:00 [revised]
PHST- 2016/01/19 00:00 [accepted]
PHST- 2016/05/03 06:00 [entrez]
PHST- 2016/05/03 06:00 [pubmed]
PHST- 2016/05/03 06:01 [medline]
PHST- 2016/04/15 00:00 [pmc-release]
AID - SIA5959 [pii]
AID - 10.1002/sia.5959 [doi]
PST - ppublish
SO  - Surf Interface Anal. 2016 Apr;48(4):226-236. doi: 10.1002/sia.5959. Epub 2016 Feb 
      19.