Journal of Polymers. 2014;2014 DOI 10.1155/2014/541248
Author
Sandro Lattante (Dipartimento di Matematica e Fisica “Ennio De Giorgi”, Universitá del Salento, via per Arnesano, 73100 Lecce, Italy)
Andrea Perulli (Dipartimento di Ingegneria dell’Innovazione, Universitá del Salento, via per Monteroni, 73100 Lecce, Italy)
Marco Anni (Dipartimento di Matematica e Fisica “Ennio De Giorgi”, Universitá del Salento, via per Arnesano, 73100 Lecce, Italy)
EDITORIAL INFORMATION
Blind peer review
Editorial Board
Instructions for authors
Time From Submission to Publication: 12 weeks
Abstract | Full Text
Author
Sandro Lattante (Dipartimento di Matematica e Fisica “Ennio De Giorgi”, Universitá del Salento, via per Arnesano, 73100 Lecce, Italy)
Andrea Perulli (Dipartimento di Ingegneria dell’Innovazione, Universitá del Salento, via per Monteroni, 73100 Lecce, Italy)
Marco Anni (Dipartimento di Matematica e Fisica “Ennio De Giorgi”, Universitá del Salento, via per Arnesano, 73100 Lecce, Italy)
EDITORIAL INFORMATION
Blind peer review
Editorial Board
Instructions for authors
Time From Submission to Publication: 12 weeks
Abstract | Full Text
Confocal Laser Scanning Microscopy (CLSM) has been used as a fast, user-friendly, and noninvasive tool for characterizing the phase composition differences at the substrate and air interfaces in thick films of polymer blends. A clearly different phase composition at the blend/glass interface and at the blend/air interface has been detected. We show that PCBM preferentially accumulates at the glass/blend interface, while P3HT preferentially accumulates at the blend/air interface, by comparing the integrated signal intensity of the luminescence coming from both interfaces. Our results demonstrate that CLSM can be used conveniently for the fast identification of a preferential phase segregation at interfaces in polymer blends. This is useful in the research field on devices (like sensors or planar waveguides) that are based on very thick layers (thickness higher than 1 μm).
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https://doaj.org/article/0405917c6b154120b8e51bc6ae5dbdaa
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