@inbook{0f932a35ea584b3b8a95e907ed2ad8c4,
title = "The application of computational chemistry and chemometrics to developing a method for online monitoring of polymer degradation in the manufacture of bioresorbable medical implants",
abstract = "Bioresorbable polymers such as PLA have an important role to play in the development of temporary implantable medical devices with significant benefits over traditional therapies. However, development of new devices is hindered by high manufacturing costs associated with difficulties in processing the material. A major problem is the lack of insight on material degradation during processing. In this work, a method of quantifying degradation of PLA using IR spectroscopy coupled with computational chemistry and chemometric modeling is examined. It is shown that the method can predict the quantity of degradation products in solid-state samples with reasonably good accuracy, indicating the potential to adapt the method to developing an on-line sensor for monitoring PLA degradation in real-time during processing.",
keywords = "Bioresorbable polymer, Chemometrics, Computational chemistry, IR spectroscopy, PLA",
author = "Whitaker, {Darren A.} and Fraser Buchanan and Domhnall Lennon and Mark Billham and Marion McAfee",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2014.",
year = "2014",
doi = "10.1007/978-3-662-45283-7_23",
language = "English",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "215--225",
editor = "Shiwei Ma and Li Jia and Xin Li and Ling Wang and Xin Sun and Huiyu Zhou",
booktitle = "Life System Modeling and Simulation - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings",
}