Detailed study of polystyrene solubility using pyrolysis-gas chromatography-mass spectrometry and combination with size-exclusion chromatography

被引:6
|
作者
Chojnacka, Aleksandra [1 ,2 ]
Janssen, Hans-Gerd [1 ]
Schoenmakers, Peter [1 ]
机构
[1] Univ Amsterdam, Analyt Chem Grp, Vant Hoff Inst Mol Sci, NL-1090 GD Amsterdam, Netherlands
[2] Dutch Polymer Inst, NL-5600 AX Eindhoven, Netherlands
关键词
Pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS); Size-exclusion chromatography (SEC); Off-line size-exclusion chromatography/pyrolysis-gas chromatography-mass spectrometry (SEC/-/Py-GC-MS); Polystyrene (PS); Polymer solubility; Low-detection limit; QUANTITATIVE-ANALYSIS; INTRINSIC-VISCOSITY; POLYMERS; DISSOLUTION; PARAMETERS; SYSTEM; MODEL;
D O I
10.1007/s00216-013-7461-5
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Measuring polymer solubility accurately and precisely is challenging. This is especially true at unfavourable solvent compositions, when only very small amounts of polymer dissolve. In this paper, pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS) is demonstrated to be much more informative and sensitive than conventional methods, such as ultraviolet spectroscopy. By using a programmed-temperature-vapourisation injector as the pyrolysis chamber, we demonstrate that Py-GC-MS can cover up to five orders of magnitude in dissolved polymer concentrations. For polystyrene, a detection limit of 1 ng mL(-1) is attained. Dissolution in poor solvents is demonstrated to be discriminating in terms of the analyte molecular weight. Py-GC-MS additionally can yield information on polymer composition (e. g. in case of copolymers). In combination with size-exclusion chromatography, Py-GC-MS allows us to estimate the molecular weight distributions of minute amounts of a dissolved polymer and variations therein as a function of time.
引用
收藏
页码:459 / 465
页数:7
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