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The lognormal and gamma distribution models for estimating molecular weight distributions of polymers using PGSE NMR
University of South Australia, Australia.
University of South Australia, Australia; University College London, Australia.
RISE., SP – Sveriges Tekniska Forskningsinstitut, SP Food and Bioscience. University of South Australia, Australia; University College London, Australia.ORCID-id: 0000-0002-5956-9934
2016 (Engelska)Ingår i: Journal of magnetic resonance, ISSN 1090-7807, E-ISSN 1096-0856, Vol. 267, s. 54-62Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

We present comprehensive derivations for the statistical models and methods for the use of pulsed gradient spin echo (PGSE) NMR to characterize the molecular weight distribution of polymers via the well-known scaling law relating diffusion coefficients and molecular weights. We cover the lognormal and gamma distribution models and linear combinations of these distributions. Although the focus is on methodology, we illustrate the use experimentally with three polystyrene samples, comparing the NMR results to gel permeation chromatography (GPC) measurements, test the accuracy and noise-sensitivity on simulated data, and provide code for implementation.

Ort, förlag, år, upplaga, sidor
Academic Press, 2016. Vol. 267, s. 54-62
Nyckelord [en]
Gamma distribution, Lognormal distribution, Molecular weight distribution, Polydispersity, Pulsed gradient spin echo NMR, Scaling law, Self-diffusion
Nationell ämneskategori
Naturvetenskap
Identifikatorer
URN: urn:nbn:se:ri:diva-321DOI: 10.1016/j.jmr.2016.04.007Scopus ID: 2-s2.0-84964522857OAI: oai:DiVA.org:ri-321DiVA, id: diva2:938731
Tillgänglig från: 2016-06-17 Skapad: 2016-06-17 Senast uppdaterad: 2019-06-19Bibliografiskt granskad

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