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Assessment of ex vivo perfused liver health by Raman spectroscopy
Author(s) -
Zu Theresah N. K.,
Athamneh Ahmad I. M.,
Collakova Eva,
Robertson John,
Hawken Thomas,
Aardema Charles,
Senger Ryan S.
Publication year - 2015
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.4688
Subject(s) - ex vivo , raman spectroscopy , perfusion , in vivo , principal component analysis , transplantation , biomedical engineering , machine perfusion , chemistry , nuclear medicine , medicine , pathology , liver transplantation , biology , computer science , artificial intelligence , optics , physics , microbiology and biotechnology
Raman spectroscopy was applied in this research to monitor the overall health and degradation of porcine livers perfused ex vivo using the VasoWaveW® perfusion system. A novel Raman‐based diagnostic analysis was developed that enables near real‐time and label‐free monitoring of organ health during ex vivo perfusion designed to extend the useful life of the organ for transplantation. Multivariate statistical analysis of Raman spectra of organ perfusate fluid, using a combination of principal component analysis and linear discriminant analysis, proved to be an effective technique to assess the degradation properties of the livers. Three livers (with replicates) were perfused ex vivo under different pressures and temperatures and were compared with a 24‐h time‐course. Results indicated that perfusion pressure was a more significant factor in organ degradation than was temperature. In addition, a non‐linear degradation profile was identified for all three perfused livers, and this profile was different for individual livers, demonstrating the time‐dependent transition from its initial ‘healthy’ state towards a more ‘unhealthy’ degenerative state at 24 h. The Raman spectroscopy‐based approach described here has potential applications in perfusion and diagnostic instrumentation that can be used in near real‐time during organ transit and in operating rooms to help identify appropriately healthy organs for transplantation. Copyright © 2015 John Wiley & Sons, Ltd.