Literature DB >> 12113337

Evaluation of size-exclusion chromatography and size-exclusion electrochromatography calibration curves.

Y Vander Heyden1, S T Popovici, P J Schoenmaker.   

Abstract

Size-exclusion chromatography (SEC) and size-exclusion electrochromatography (SEEC) are chromatographic techniques used to determine molecular mass (weight) distributions (MWD) of polymers. One important step in the data treatment to derive MWD parameters is the modelling of the calibration curves. The calibration curves applied in SEC and SEEC are generally not linear. In this study the modelling of calibration curves is being examined. Different polynomial models have been evaluated and compared, not only for model fit but also for their predictive properties. It was found that sometimes a straight line and sometimes a third-order polynomial model were best. The best model across the effective range (also called linear range) is not always found to be a straight line. The SEEC curves were found to have considerably higher prediction errors than the SEC ones. Reduction of the number of calibration standards to five or six did not greatly affect the predictive properties of the calibration curves, neither in SEC nor in SEEC.

Mesh:

Year:  2002        PMID: 12113337     DOI: 10.1016/s0021-9673(02)00311-4

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  2 in total

1.  Nanoparticle Analysis by Online Comprehensive Two-Dimensional Liquid Chromatography combining Hydrodynamic Chromatography and Size-Exclusion Chromatography with Intermediate Sample Transformation.

Authors:  Bob W J Pirok; Noor Abdulhussain; Tom Aalbers; Bert Wouters; Ron A H Peters; Peter J Schoenmakers
Journal:  Anal Chem       Date:  2017-08-08       Impact factor: 6.986

2.  Size-Exclusion Chromatography for the Analysis of Protein Biotherapeutics and their Aggregates.

Authors:  Paula Hong; Stephan Koza; Edouard S P Bouvier
Journal:  J Liq Chromatogr Relat Technol       Date:  2012-11-30       Impact factor: 1.467

  2 in total

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