Non- and minimally-invasive techniques can provide advantages in the monitoring and clinical diagnostics in renal diseases. Although renal biopsy may be useful in establishing diagnosis in several diseases, it is an invasive approach and impractical for longitudinal disease monitoring. To address this unmet need, we have developed two techniques based on Raman spectroscopy. First, we have investigated the potential of diagnosing and staging nephritis by analyzing kidney tissue Raman spectra using multivariate techniques. Secondly, we have developed a urine creatinine sensor based on surface-enhanced Raman spectroscopy with performance near commercial assays which require relatively laborious sample preparation and longer time.
Jingting Li, Ming Li, Yong Du, Greggy M. Santos, Chandra Mohan, and Wei-Chuan Shih, "Raman and surface-enhanced Raman spectroscopy for renal condition monitoring," Proc. SPIE 9704, Biomedical Vibrational Spectroscopy 2016: Advances in Research and Industry, 97040T (Presented at SPIE BiOS: February 14, 2016; Published: 7 March 2016); https://doi.org/10.1117/12.2212573.
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