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Modeling diameter distributions of poly( N ‐isopropylacrylamide‐ co ‐methacrylic acid) nanoparticles
Author(s) -
Cao Quang,
Tian Peng,
Wu Qinglin
Publication year - 2008
Publication title -
journal of applied polymer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.575
H-Index - 166
eISSN - 1097-4628
pISSN - 0021-8995
DOI - 10.1002/app.29274
Subject(s) - weibull distribution , log normal distribution , poly(methacrylic acid) , methacrylic acid , materials science , nanoparticle , poly(n isopropylacrylamide) , polymer chemistry , composite material , mathematics , nanotechnology , polymer , statistics , copolymer
The Weibull distribution was successfully used to describe the diameter distribution of poly( N ‐isopropylacrylamide‐ co ‐methacrylic Acid (PNIPAAm‐MAA) nanoparticles, whereas the lognormal was deemed not adequate for that purpose. The method of moments was used to predict parameters of the Weibull distribution. In this approach, the Weibull parameters were recovered from the diameter mean and variance, both of which were predicted from temperature. The distributions predicted from various temperatures for both MAA/NIPAAm ratios of 0.05 and 0.10 showed trends similar to those displayed in the observed data. © 2008 Wiley Periodicals, Inc. J Appl Polym Sci, 2009