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19 February 2020 Non-contact Raman spectroscopic pH measurement of cerebrospinal fluid: in vivo rat and perimortem swine models
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We recently reported the first noninvasive, label free measurement of pH in a bodily fluid in vivo using only Raman spectra i.e. in vivo rat model measurements probing the immediate vicinity of a contusive spinal cord injury (SCI) in the first minutes and hours after injury. Calibrated and assigned using Raman spectra of authentic materials, in the rat model we were not able to sample the cerebrospinal fluid (CSF) to allow comparison with an independent measurement of the pH. Swine presents a better model because they allow physical sampling of CSF, although still not ideal for our purposes. We were only able to physically sample CSF from the fourth cerebral ventricle of 2 different animals, before and after all spectral measurements on cords were completed. One measurement each for 2 different animals on physically sampled CSF averaged a pH of 7.001±0.106 (N=2) as per standard laboratory instrumentation. Using a dynamic analysis and the Henderson-Hasselbalch equation, the average of (N=12) noninvasive Raman-based pH measurements of CSF was 7.073±0.156 and at >95% confidence there is no statistically significant difference between the Raman-based and the physically sampled results. We discuss the difference between the dynamic and static analysis, the implications for our understanding of SCI, the accuracy, precision, calibration, general applicability of this approach and future work.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Seth Fillioe, Kyle Kelly Bishop, Josh Satalin, Sarah Blair, Charles M. Peterson, Gary Nieman, Alexander Vincent Struck Jannini, Jon Jong In Kim, Richard McDonough, Steven Ortiz, Jerry Goodisman, Julie Hasenwinkel, and J. Chaiken "Non-contact Raman spectroscopic pH measurement of cerebrospinal fluid: in vivo rat and perimortem swine models", Proc. SPIE 11223, Photonic Diagnosis, Monitoring, Prevention, and Treatment of Infections and Inflammatory Diseases 2020, 1122308 (19 February 2020);

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