Artículo
SEC of Simple Polymers with Molar Mass Detection in the Presence of Instrumental Broadening. Computer Simulation Study on the Recuperation of Unbiased Molecular Weight Distributions
Fecha de publicación:
12/2001
Editorial:
Taylor
Revista:
Journal of Liquid Chromatography and Related Technologies
ISSN:
1082-6076
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
This theoretical work presents a correction procedure for calculating an unbiased MWD when analyzing a linear homopolymer by size exclusion chromatography with molar mass detection. The fractionation and the measurements are ideal, but the chromatograms are distorted by a nonuniform and skewed instrumental broadening (IB), and are contaminated with a zero-mean random noise. The main assumption is that the molecular weight calibration is linear in the chromatogram range. The following phenomenological procedure was proposed: (i) independently correct the mass- and molar mass chromatograms for IB through a robust inverse filtering technique; (ii) estimate the unbiased calibration from the ratio of the corrected chromatograms; (iii) adjust a straight line to the mid-values of that cal-ibration; and (iv) estimate the unbiased MWD from the linear calibration and the corrected mass chromatogram. For the chromatogram inversions, a minimum sized broadening matrix was selected and a singular value decomposition technique was applied. The following effects were evaluated: of an increased measurement noise, of uncertainties in the range of the measured chromatograms, and of systematic errors in the IB function. The method fails for very narrow MWDs.
Palabras clave:
Size Exclusion Chromatography
,
Band Broadening
,
Polymer Characterization
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Articulos(INTEC)
Articulos de INST.DE DES.TECNOL.PARA LA IND.QUIMICA (I)
Articulos de INST.DE DES.TECNOL.PARA LA IND.QUIMICA (I)
Citación
Vega, Jorge Ruben; Meira, Gregorio Raul; SEC of Simple Polymers with Molar Mass Detection in the Presence of Instrumental Broadening. Computer Simulation Study on the Recuperation of Unbiased Molecular Weight Distributions; Taylor; Journal of Liquid Chromatography and Related Technologies; 24; 12-2001; 901-919
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