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Analytical and Bioanalytical Chemistry

, Volume 408, Issue 12, pp 3155–3163 | Cite as

Composition of ultrathin binary polymer brushes by thermogravimetry–gas chromatography–mass spectrometry

  • Diego Antonioli
  • Katia Sparnacci
  • Michele Laus
  • Federico Ferrarese Lupi
  • Tommaso Jacopo Giammaria
  • Gabriele Seguini
  • Monica Ceresoli
  • Michele Perego
  • Valentina Gianotti
Research Paper

Abstract

In the present paper, a reliable and rugged thermogravimetry–gas chromatography–mass spectrometry (TGA–GC–MS) method was developed to determine the composition of ultrathin films consisting of binary blends of functional polystyrene (PS) and polymethylmethacrylate (PMMA) grafted to a silicon wafer. A general methodology will be given to address the composition determination problem for binary or even multicomponent polymer brush systems using the PS/PMMA-based samples as a paradigmatic example. In this respect, several distinct tailor-made materials were developed to ensure reliable calibration and validation stages. The analytical method was tested on unknown samples to follow the composition evolution in PS/PMMA brushes during the grafting reaction. A preferential grafting of the PMMA was revealed in full agreement with its preferential interaction with the SiO2 polar surface.

Graphical abstract

A reliable and rugged thermogravimetry–gas chromatography–mass spectrometry (TGA–GC–MS) method was developed to determine the composition of ultrathin films consisting of binary blends of functional polystyrene (PS) and polymethylmethacrylate (PMMA) grafted to a silicon wafer

Keywords

Thermogravimetry–gas chromatography–mass spectrometry Composition determination Method validation Ultrathin film analysis Polymer brushes 

Notes

Acknowledgments

Financial support by PRIN 2010–2014 “Materiali Polimerici Nanostrutturati con Strutture Molecolari e Cristalline Mirate” is acknowledged.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no competing interests.

Supplementary material

216_2016_9380_MOESM1_ESM.pdf (78 kb)
Fig. S1 (PDF 78.3 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Diego Antonioli
    • 1
  • Katia Sparnacci
    • 1
  • Michele Laus
    • 1
  • Federico Ferrarese Lupi
    • 2
  • Tommaso Jacopo Giammaria
    • 1
    • 2
  • Gabriele Seguini
    • 2
  • Monica Ceresoli
    • 2
    • 3
  • Michele Perego
    • 2
  • Valentina Gianotti
    • 1
  1. 1.Dipartimento di Scienze e Innovazione Tecnologica (DISIT)Università del Piemonte Orientale “A. Avogadro”, INSTMAlessandriaItaly
  2. 2.Laboratorio MDMIMM-CNRAgrate BrianzaItaly
  3. 3.Dipartimento di FisicaUniversità degli Studi di MilanoMilanItaly

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