Title of article
Functional-group analysis of polyvinylpyrrolidone on the inner surface of hollow-fiber dialysis membranes, by near-field infrared microspectroscopy
Author/Authors
Sumire Koga، نويسنده , , Taiji Yakushiji، نويسنده , , Masato Matsuda، نويسنده , , Ken-ichiro Yamamoto، نويسنده , , Kiyotaka Sakai، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
6
From page
208
To page
213
Abstract
Near-field infrared microspectroscopy (NFIR) is a newly developed surface analysis method that is based on functional-group analysis and has a high spatial resolution. The objective of the present study is to perform nanoscale functional-group analysis of dialysis membrane surfaces by using NFIR. We focused on polyvinylpyrrolidone (PVP), which is employed as an additive to hydrophilize and create pores in synthetic polymer dialysis membranes, and evaluated the PVP distribution on the inner surface of the dialysis membranes. Dialysis membranes made from polysulfone (PSf) and polyester–polymer alloy (PEPA) were first assessed by NFIR and then by attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR). The nanoscale NFIR analysis showed heterogeneous distribution of PVP on the PSf membrane even though the amount of PVP on the membrane surface was high. PVP was homogeneously distributed on the PEPA membrane even though the amount of PVP on the membrane surface was low. In contrast, the microscale ATR-FTIR results showed that PVP was homogeneously distributed on both PSf and PEPA membranes. PVP-rich and PVP-poor regions were distinguishable by NFIR and not by ATR-FTIR, because the spatial resolution of NFIR is higher than that of ATR-FTIR. This study demonstrates for the first time that NFIR can provide nanoscale chemical information on the structures of porous membranes.
Keywords
Dialysis membrane , Polyvinylpyrrolidone (PVP) , Surface characterization , NFIR (near-field infrared microspectroscopy)
Journal title
Journal of Membrane Science
Serial Year
2010
Journal title
Journal of Membrane Science
Record number
1355216
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