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dc.contributor.authorDorrepaal, R.M.
dc.contributor.authorLawless, B.M.
dc.contributor.authorBurton, Hanna
dc.contributor.authorEspino, D. M.
dc.contributor.authorShepherd, D.E.T.
dc.contributor.authorGowen, A.A.
dc.date.accessioned2018-04-16T12:58:48Z
dc.date.available2018-04-16T12:58:48Z
dc.date.issued2018-04-05
dc.identifier.citationDorrepaal, R.M., Lawless, B.M., Burton, H.E., Espino, D.M., Shepherd, D.E. and Gowen, A.A. (2018) 'Hyperspectral chemical imaging reveals spatially varied degradation of polycarbonate urethane (PCU) biomaterials', Acta Biomaterialia, 73, pp. 81-89. https://doi.org/10.1016/j.actbio.2018.03.045en_US
dc.identifier.issn1742-7061
dc.identifier.issn1878-7568 (online)
dc.identifier.urihttp://hdl.handle.net/10369/9560
dc.descriptionThis article was published in Acta Biomaterialia on 05 April 2018 (online), available at https://doi.org/10.1016/j.actbio.2018.03.045en_US
dc.description.abstractHyperspectral 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. Statement of Signifance The human body is an aggressive environment for implantable devices and their biomaterial components. Polycarbonate urethane (PCU) biomaterials in particular were investigated in this study. Traditionally one or a few points on the PCU surface are analysed using ATR-FTIR spectroscopy. However the selection of acquisition points is susceptible to operator bias and critical information can be lost. This study utilises hyperspectral chemical imaging (HCI) to demonstrate that the degradation of a biomaterial varies spatially. Further, HCI revealed spatial variations of biomaterials that were not subjected to oxidative degradation leading to the possibility of HCI being used in the assessment of biomaterial formulation and/or component production.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesActa Biomaterialia;
dc.subjectBiomaterial characterisationen_US
dc.subjectbiostabilityen_US
dc.subjecthyperspectral chemical imagingen_US
dc.subjectin vivodegradationen_US
dc.subjectpolycarbonate urethaneen_US
dc.titleHyperspectral chemical imaging reveals spatially varied degradation of polycarbonate urethane (PCU) biomaterialsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.actbio.2018.03.045
dcterms.dateAccepted2018-03-28
rioxxterms.funderCardiff Metropolitan Universityen_US
rioxxterms.identifier.projectCardiff Metropolian (Internal)en_US
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_US
rioxxterms.licenseref.startdate2019-04-05
rioxxterms.freetoread.startdate2019-04-05
rioxxterms.funder.project37baf166-7129-4cd4-b6a1-507454d1372een_US


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