Hyperspectral chemical imaging reveals spatially varied degradation of polycarbonate urethane (PCU) biomaterials

Research output: Contribution to journalArticlepeer-review

Colleges, School and Institutes

External organisations

  • UCD School of Biosystems and Food Engineering, University College Dublin, Ireland.
  • Department of Mechanical Engineering, School of Engineering, University of Birmingham, United Kingdom.
  • Department of Mechanical Engineering, School of Engineering, University of Birmingham, United Kingdom; PDR - International Centre for Design and Research, Cardiff Metropolitan University, United Kingdom.
  • UCD School of Biosystems and Food Engineering, University College Dublin, Ireland. Electronic address: aoife.gowen@ucd.ie.

Abstract

Hyperspectral chemical imaging (HCI) is an emerging technique which combines spectroscopy with imaging. Unlike traditional point spectroscopy, which is used in the majority of polymer biomaterial degradation studies, HCI enables the acquisition of spatially localised spectra across the surface of a material in an objective manner. Here, we demonstrate that attenuated total reflectance Fourier transform infra-red (ATR-FTIR) HCI reveals spatial variation in the degradation of implantable polycarbonate urethane (PCU) biomaterials. It is also shown that HCI can detect possible defects in biomaterial formulation or specimen production; these spatially resolved images reveal regional or scattered spatial heterogeneity. Further, we demonstrate a map sampling method, which can be used in time-sensitive scenarios, allowing for the investigation of degradation across a larger component or component area. Unlike imaging, mapping does not produce a contiguous image, yet grants an insight into the spatial heterogeneity of the biomaterial across a larger area. These novel applications of HCI demonstrate its ability to assist in the detection of defective manufacturing components and lead to a deeper understanding of how a biomaterial's chemical structure changes due to implantation. 

Details

Original languageEnglish
Pages (from-to)81-89
JournalActa Biomaterialia
Volume73
Early online date5 Apr 2018
Publication statusPublished - Jun 2018

Keywords

  • biomaterial characterisation , biostability , hyperspectral chemical imaging , in vivo degradation , polycarbonate urethane