Computer analysis of light scattering data. II. Critical assessment of molecular parameters

Autor:	Manfred Gordon, John A. Torkington, Kenneth R. Roberts, Simon B. Ross-Murphy
Rok vydání:	2007
Předmět:	chemistry.chemical_classification Data processing Materials science Fortran General Engineering Analytical chemistry Regression analysis Polymer Toluene Light scattering chemistry.chemical_compound Nonlinear system chemistry Polystyrene Biological system computer computer.programming_language
Zdroj:	Journal of Polymer Science: Polymer Symposia. 61:45-62
ISSN:	1936-0959 0360-8905
DOI:	10.1002/polc.5070610107
Popis:	Three different Fortran computer programs based upon different regression models have been applied to the computer analysis of light scattering data by variously weighted linear and nonlinear least-squares methods to calculate the molecular parameters, viz., (MW)w, z. etc. for standard polystyrene samples in good solvents (benzene and toluene). Comparison of the results from the computer programs provides greater insight into the theoretical validity of these parameters, and leads to the conclusion that standardization of the data processing is an essential part of any “Round Robin” experiment to evaluate the molecular weight of standard polymer samples in different laboratories.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a28fe1beeb07e97d98fff5642a2c56f5 https://doi.org/10.1002/polc.5070610107 Zobrazit plný text záznamu